Three themes You need to think about Product Security — and some tips for How to Do It
I have been working with software security laboratories and IT security firms for years. I have talked with clients, read and watched dozens of articles/videos and talked with several experts about product security themes, future, technologies.
The three themes are:
Is the blockchain the new technology of trust?
Blockchain has the potential to transform industries. However, some security experts raised questions: If blockchain is broadly used in technology solutions will security standards be adopted? How to protect the cryptographic keys that allow access to the blockchain applications? Although it is true that the potential is huge such as securing IoT nodes, edge devices with authentication, improved confidentiality and data integrity, disrupting current PKI systems, reducing DDoS attacks etc.
AI (Machine Learning, Deep Learning, Reinforcement Learning algorithm) potential in Product Security
Machine learning can help in creating products that analyse threats and respond to attacks and security incidents. There are several repositories on GitHub or open-source codes by IBM available for developers. Deep learning networks are rapidly growing due to cheap cloud GPU services and after Reinforcement learning algorithm’s last success nobody knows the upper limit.
Product Security by International security standards and practices
The present, future, and developmental orientations of independent third party certificates Industry. How can the international standards answer the rapid growth of new technologies and maintain secure applications in IoT, Blockchain or AI-driven industries?
Are IT products reliable, secure and will they stay that way?
I would like to explain Product Security in a simple way. My goal is the introduction of product security for Tech startups, fast-growing Tech firms. Furthermore, I would like to emphasize the benefits of product security certification.
AI for security or security for AI - Sergey GordeychikSergey Gordeychik
Machine learning technologies are turning from rocket science into daily engineering life. You no longer have to know the difference between Faster R-CNN and HMM to develop a machine vision system, and even OpenCV has bindings for JavaScript allowing to resolve quite serious tasks all the while remaining in front end. On other hand massive implementation of AI in various areas brings about problems, and security is one of the greatest concerns. In the broader context security is really all about trust.
Do we trust AI? I don’t, personally.
What is “state of the art” in AI security? Yesterday it was a PoC, not a product, today becoming a We will fix it later, tomorrow it will be a if it works, don’t touch it. And tomorrow is too late.
But what we can do for Trustworthy AI? There are just no simple answers.
You can’t install antivirus or calculate hashes to control integrity of annotated dataset. Traditional firewalls and IDS are almost useless in ML cloud internal SDN Infiniband network. Event C-level Compliance such as PCI DSS and GDPR doesn’t work for massive country-level AI deployments. What about vulnerability management for TensorFlow ML model? How it will impact ROC and AUC?..
To make it better we should rethink Cyber Resilience for AI process, systems and applications to make sure that they continuously deliver the intended outcome despite adverse cyber events. Make sure that security is genuinely integrated into innovation that AI brings into our lives. To trust AI and earn his trust, perhaps?
AI and Machine Learning In Cybersecurity | A Saviour or Enemy?SahilRao25
Let's take a look at implementations of AI or machine learning in the cybersecurity world. To know more: https://www.softwarefirms.co/blog/ai-and-machine-learning-in-cybersecurity-a-saviour-or-enemy?utm_source=Social+media&utm_medium=Traffic&utm_campaign=SR
“AI is the new electricity” proclaims Andrew Ng, co-founder of Google Brain. Just as we need to know how to safely harness electricity, we also need to know how to securely employ AI to power our businesses. In some scenarios, the security of AI systems can impact human safety. On the flip side, AI can also be misused by cyber-adversaries and so we need to understand how to counter them.
This talk will provide food for thought in 3 areas:
Security of AI systems
Use of AI in cybersecurity
Malicious use of AI
The good, the bad, and the ugly on integration ai with cybersecurityMohammad Khreesha
AI is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. Integrating it with Cybersecurity is beneficial because it improves how security experts analyze, study, and understand cyber-crime.
In this talk, we will discuss & explain AI and how to integrate it with Cybersecurity to detect many types of attacks. The talk will cover many applications in Cybersecurity in which we can apply AI to improve those applications. Finally, I will present a demo on how to build your development environment with some scripting examples.
Every single security company is talking about how they are using machine learning—as a security company you have to claim artificial intelligence to be even part of the conversation. However, this approach can be dangerous when we blindly rely on algorithms to do the right thing. Rather than building systems with actual security knowledge, companies are using algorithms that nobody understands and, in turn, discovering wrong insights.
In this session, we will discuss:
• Limitations of machine learning and issues of explainability
• Where deep learning should never be applied
• Examples of how the blind application of algorithms can lead to wrong results
From machine learning to deepfakes - how AI is revolutionizing cybersecurityInfosec
Artificial intelligence (AI) and machine learning are changing how cybercriminals carry out cyberattacks — and how cybersecurity professionals defend against them.
Join Infosec Skills author Emmanuel Tsukerman to get an inside look at these new technologies, their impact on cybersecurity and what it means for your career, including:
-Different attack methods that leverage machine learning
-Current and future uses of machine learning and AI within cybersecurity
-New skills and roles for cybersecurity professionals
-A live deepfake demonstration
AI for security or security for AI - Sergey GordeychikSergey Gordeychik
Machine learning technologies are turning from rocket science into daily engineering life. You no longer have to know the difference between Faster R-CNN and HMM to develop a machine vision system, and even OpenCV has bindings for JavaScript allowing to resolve quite serious tasks all the while remaining in front end. On other hand massive implementation of AI in various areas brings about problems, and security is one of the greatest concerns. In the broader context security is really all about trust.
Do we trust AI? I don’t, personally.
What is “state of the art” in AI security? Yesterday it was a PoC, not a product, today becoming a We will fix it later, tomorrow it will be a if it works, don’t touch it. And tomorrow is too late.
But what we can do for Trustworthy AI? There are just no simple answers.
You can’t install antivirus or calculate hashes to control integrity of annotated dataset. Traditional firewalls and IDS are almost useless in ML cloud internal SDN Infiniband network. Event C-level Compliance such as PCI DSS and GDPR doesn’t work for massive country-level AI deployments. What about vulnerability management for TensorFlow ML model? How it will impact ROC and AUC?..
To make it better we should rethink Cyber Resilience for AI process, systems and applications to make sure that they continuously deliver the intended outcome despite adverse cyber events. Make sure that security is genuinely integrated into innovation that AI brings into our lives. To trust AI and earn his trust, perhaps?
AI and Machine Learning In Cybersecurity | A Saviour or Enemy?SahilRao25
Let's take a look at implementations of AI or machine learning in the cybersecurity world. To know more: https://www.softwarefirms.co/blog/ai-and-machine-learning-in-cybersecurity-a-saviour-or-enemy?utm_source=Social+media&utm_medium=Traffic&utm_campaign=SR
“AI is the new electricity” proclaims Andrew Ng, co-founder of Google Brain. Just as we need to know how to safely harness electricity, we also need to know how to securely employ AI to power our businesses. In some scenarios, the security of AI systems can impact human safety. On the flip side, AI can also be misused by cyber-adversaries and so we need to understand how to counter them.
This talk will provide food for thought in 3 areas:
Security of AI systems
Use of AI in cybersecurity
Malicious use of AI
The good, the bad, and the ugly on integration ai with cybersecurityMohammad Khreesha
AI is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. Integrating it with Cybersecurity is beneficial because it improves how security experts analyze, study, and understand cyber-crime.
In this talk, we will discuss & explain AI and how to integrate it with Cybersecurity to detect many types of attacks. The talk will cover many applications in Cybersecurity in which we can apply AI to improve those applications. Finally, I will present a demo on how to build your development environment with some scripting examples.
Every single security company is talking about how they are using machine learning—as a security company you have to claim artificial intelligence to be even part of the conversation. However, this approach can be dangerous when we blindly rely on algorithms to do the right thing. Rather than building systems with actual security knowledge, companies are using algorithms that nobody understands and, in turn, discovering wrong insights.
In this session, we will discuss:
• Limitations of machine learning and issues of explainability
• Where deep learning should never be applied
• Examples of how the blind application of algorithms can lead to wrong results
From machine learning to deepfakes - how AI is revolutionizing cybersecurityInfosec
Artificial intelligence (AI) and machine learning are changing how cybercriminals carry out cyberattacks — and how cybersecurity professionals defend against them.
Join Infosec Skills author Emmanuel Tsukerman to get an inside look at these new technologies, their impact on cybersecurity and what it means for your career, including:
-Different attack methods that leverage machine learning
-Current and future uses of machine learning and AI within cybersecurity
-New skills and roles for cybersecurity professionals
-A live deepfake demonstration
How Machine Learning & AI Will Improve Cyber SecurityDevOps.com
Machine Learning (ML) and Artificial Intelligence (AI) have been proclaimed as perhaps the next great leap in human quality of life, as well as a potential reason for our extinction. Somewhere in between lies how ML & AI can potentially improve our Cyber Security efforts. But are ML & AI a true panacea or merely the next shiny trinket for the cyber industry to fixate on? In this webinar we will explore:
How ML & AI are currently being utilized in cyber security efforts.
What is working and what has not worked
What is on the both the short term and near-term horizon for ML &AI
Practical steps you can take now to begin leveraging these technologies to tangibly improve your cyber security posture
Join our panel of industry experts as we explore this brave new frontier in cyber security with a candid look cutting through the hype.
The Future of Security: How Artificial Intelligence Will Impact UsPECB
For decades, the security profession has relied on the best technology we had at the time to deflect the onslaught of what we faced daily in the way of virus and malware attacks. Now, as predicted by Thomas Kuhn in his book “The Structure of Scientific Revolutions, we’re seeing the dawn of a new day where AI’s machine learning and advanced mathematical algorithms now offer validated deflection rates, pre-execution, in the realm of 99%. This session will explore this new paradigm and how it will impact our future.
Main points covered:
• How did our profession change in the world of reactive detection?
• How to escape the inertia that held us, prisoners?
• What is the power of AI and machine learning?
• What are the risks of this new technology?
Presenter:
Our presenter for this webinar, John McClurg serves as Vice President and Ambassador-At-Large of Cylance, where he is responsible for building Security and Trust programs & operational excellence efforts. Prior to Cylance, he served as the CSO of Dell, Honeywell, and Lucent and in the U.S. Intelligence Community, as a twice-decorated member of the Federal Bureau of Investigation (FBI). He also served as a Deputy Branch Chief of CIA where he helped to establish the new Counterespionage Group and was responsible for the management of complex counterespionage investigations. McClurg was voted one of America’s 25 most influential security professionals.
Organizer: Ardian Berisha
Date: October 25th, 2018
Recorded webinar link:
Challenges in Applying AI to Enterprise CybersecurityTahseen Shabab
Applying AI/ML in live Cybersecurity environments can be challenging. We share some of our learnings and identify common pitfalls.
Bibu Labs is a leading Cybersecurity company leveraging AI to solve complex problems faced by Enterprise clients.
Trends in AI:
- 67% of executives say AI will help humans and machines work together to be stronger using both artificial and human intelligence.
- 65% think that AI would free employees from menial tasks.
- 27% of executives say their organization plans to invest within a year in cybersecurity safeguards that use AI and machine learning.
So is Artificial Intelligence going to provide safety for us?
Ashrith talks about whether it's time for the cyber security industry to start using AI to solve their challenges
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
With the increasingly connected world revolving around the revolution of internet and new technologies like mobiles, smartphones, and tablets, and with the wide usage of wireless technologies, the information security risks have increased. Both individuals and organizations are under regular attacks for commercial or non-commercial gains. The objectives of such attacks may be to take revenge, malign the reputation of a competitor organization, understand the strategies and sensitive information about the competitor, simply have fun of exploiting the vulnerabilities. Hence, the need to protect information assets and ensure information security receives adequate attention.
In this session, I will discuss how AI and Machine Learning can be applied in detecting, predicting and preventing cyber security/information security vulnerabilities and what are the benefits of using Machine Learning and AI. We also touch upon some of the tools available to perform the same.
Cyber Security.
Watch my videos on snack here: --> --> http://sck.io/x-B1f0Iy
@ Kindly Follow my Instagram Page to discuss about your mental health problems-
-----> https://instagram.com/mentality_streak?utm_medium=copy_link
@ Appreciate my work:
-----> behance.net/burhanahmed1
Thank-you !
Security Analytics: The Promise of Artificial Intelligence, Machine Learning,...Cybereason
Security analytics, what is real and examined the promise, the hype and the real state of artificial intelligence, machine learning and data science in solving fundamental security problems.
A technical seminar delivered on Machine learning in cybersecurity. Machine learning is trending and desired subject this presentation demonstrates how machine learning can be used to protect IT infrastructure
As cyberattacks grow in volume and complexity in recent years, Artificial Intelligence (AI) helps under-resourced security operations analysts stay ahead of threats. From millions of research papers, blogs, and news stories to pressurize intelligence, AI provides instant results to help you fight through the noise of thousands of daily alerts, drastically reducing response time.
Use of Artificial Intelligence in Cyber Security - Avantika UniversityAvantika University
There are many uses of artificial intelligence in cyber security. Although artificial intelligence has so many advantages over human intelligence, it is dependent on humans. Due to the ever-increasing demand for engineers, there is a bright scope in the field of cyber security. Avantika University is one of the top engineering colleges in India.
To know more details, visit us at : https://www.avantikauniversity.edu.in/engineering-colleges/use-of-artificial-intelligence-in-cyber-security.php
First line of defense for cybersecurity : AIAhmed Banafa
The year 2017 wasn't a great year for cyber-security; we saw a large number of high-profile cyber attacks; including Uber, Deloitte, Equifax and the now infamous WannaCry ransomware attack, and 2018 started with a bang too with the hacking of Winter Olympics.
The frightening truth about increasingly cyber-attacks is that most businesses and the cybersecurity industry itself are not prepared. Despite the constant flow of security updates and patches, the number of attacks continues to rise.
In this presentation Raffael Marty, VP of Research of Intelligence, Forcepoint X-Labs, explores the topic of Artificial Intelligence (AI) in cyber security. What is AI and how do we get to real intelligence in a cyber context? Raffael outlines some of the dangers of the way we are using algorithms (AI, Machine Learning) today and what that leads to. We then explore how we can add real intelligence through export knowledge to the problem of finding attackers and anomalies in our applications and networks.
Presented at AI 4 Cybersecurity in NYC on April 30, 2019
#CyberAvengers - Artificial Intelligence in the Legal and Regulatory RealmShawn Tuma
The #CyberAvengers' Paul Ferrillo (a/k/a Director Fury) and Shawn Tuma (a/k/a Hulk) presented at the Practical Cybersecurity Risk Management Strategies program of the New Jersey State Bar Association (NJSBA) Cybersecurity Institute on November 17, 2017. In this presentation, Fury and Hulk focused the core #CyberAvengers message of the real-life cybersecurity issues facing most companies -- the basics of good cyber hygiene -- and explained how artificial intelligence and machine learning will help companies do a better job at getting these right, along with how and why AI/ML play a critical role in the future of cybersecurity.
Software security, secure software development in the age of IoT, smart thing...LabSharegroup
How to design secure software products for IoT, embedded application, smart metering, smart lighting, medical application with the help of Common Criteria
How Machine Learning & AI Will Improve Cyber SecurityDevOps.com
Machine Learning (ML) and Artificial Intelligence (AI) have been proclaimed as perhaps the next great leap in human quality of life, as well as a potential reason for our extinction. Somewhere in between lies how ML & AI can potentially improve our Cyber Security efforts. But are ML & AI a true panacea or merely the next shiny trinket for the cyber industry to fixate on? In this webinar we will explore:
How ML & AI are currently being utilized in cyber security efforts.
What is working and what has not worked
What is on the both the short term and near-term horizon for ML &AI
Practical steps you can take now to begin leveraging these technologies to tangibly improve your cyber security posture
Join our panel of industry experts as we explore this brave new frontier in cyber security with a candid look cutting through the hype.
The Future of Security: How Artificial Intelligence Will Impact UsPECB
For decades, the security profession has relied on the best technology we had at the time to deflect the onslaught of what we faced daily in the way of virus and malware attacks. Now, as predicted by Thomas Kuhn in his book “The Structure of Scientific Revolutions, we’re seeing the dawn of a new day where AI’s machine learning and advanced mathematical algorithms now offer validated deflection rates, pre-execution, in the realm of 99%. This session will explore this new paradigm and how it will impact our future.
Main points covered:
• How did our profession change in the world of reactive detection?
• How to escape the inertia that held us, prisoners?
• What is the power of AI and machine learning?
• What are the risks of this new technology?
Presenter:
Our presenter for this webinar, John McClurg serves as Vice President and Ambassador-At-Large of Cylance, where he is responsible for building Security and Trust programs & operational excellence efforts. Prior to Cylance, he served as the CSO of Dell, Honeywell, and Lucent and in the U.S. Intelligence Community, as a twice-decorated member of the Federal Bureau of Investigation (FBI). He also served as a Deputy Branch Chief of CIA where he helped to establish the new Counterespionage Group and was responsible for the management of complex counterespionage investigations. McClurg was voted one of America’s 25 most influential security professionals.
Organizer: Ardian Berisha
Date: October 25th, 2018
Recorded webinar link:
Challenges in Applying AI to Enterprise CybersecurityTahseen Shabab
Applying AI/ML in live Cybersecurity environments can be challenging. We share some of our learnings and identify common pitfalls.
Bibu Labs is a leading Cybersecurity company leveraging AI to solve complex problems faced by Enterprise clients.
Trends in AI:
- 67% of executives say AI will help humans and machines work together to be stronger using both artificial and human intelligence.
- 65% think that AI would free employees from menial tasks.
- 27% of executives say their organization plans to invest within a year in cybersecurity safeguards that use AI and machine learning.
So is Artificial Intelligence going to provide safety for us?
Ashrith talks about whether it's time for the cyber security industry to start using AI to solve their challenges
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
With the increasingly connected world revolving around the revolution of internet and new technologies like mobiles, smartphones, and tablets, and with the wide usage of wireless technologies, the information security risks have increased. Both individuals and organizations are under regular attacks for commercial or non-commercial gains. The objectives of such attacks may be to take revenge, malign the reputation of a competitor organization, understand the strategies and sensitive information about the competitor, simply have fun of exploiting the vulnerabilities. Hence, the need to protect information assets and ensure information security receives adequate attention.
In this session, I will discuss how AI and Machine Learning can be applied in detecting, predicting and preventing cyber security/information security vulnerabilities and what are the benefits of using Machine Learning and AI. We also touch upon some of the tools available to perform the same.
Cyber Security.
Watch my videos on snack here: --> --> http://sck.io/x-B1f0Iy
@ Kindly Follow my Instagram Page to discuss about your mental health problems-
-----> https://instagram.com/mentality_streak?utm_medium=copy_link
@ Appreciate my work:
-----> behance.net/burhanahmed1
Thank-you !
Security Analytics: The Promise of Artificial Intelligence, Machine Learning,...Cybereason
Security analytics, what is real and examined the promise, the hype and the real state of artificial intelligence, machine learning and data science in solving fundamental security problems.
A technical seminar delivered on Machine learning in cybersecurity. Machine learning is trending and desired subject this presentation demonstrates how machine learning can be used to protect IT infrastructure
As cyberattacks grow in volume and complexity in recent years, Artificial Intelligence (AI) helps under-resourced security operations analysts stay ahead of threats. From millions of research papers, blogs, and news stories to pressurize intelligence, AI provides instant results to help you fight through the noise of thousands of daily alerts, drastically reducing response time.
Use of Artificial Intelligence in Cyber Security - Avantika UniversityAvantika University
There are many uses of artificial intelligence in cyber security. Although artificial intelligence has so many advantages over human intelligence, it is dependent on humans. Due to the ever-increasing demand for engineers, there is a bright scope in the field of cyber security. Avantika University is one of the top engineering colleges in India.
To know more details, visit us at : https://www.avantikauniversity.edu.in/engineering-colleges/use-of-artificial-intelligence-in-cyber-security.php
First line of defense for cybersecurity : AIAhmed Banafa
The year 2017 wasn't a great year for cyber-security; we saw a large number of high-profile cyber attacks; including Uber, Deloitte, Equifax and the now infamous WannaCry ransomware attack, and 2018 started with a bang too with the hacking of Winter Olympics.
The frightening truth about increasingly cyber-attacks is that most businesses and the cybersecurity industry itself are not prepared. Despite the constant flow of security updates and patches, the number of attacks continues to rise.
In this presentation Raffael Marty, VP of Research of Intelligence, Forcepoint X-Labs, explores the topic of Artificial Intelligence (AI) in cyber security. What is AI and how do we get to real intelligence in a cyber context? Raffael outlines some of the dangers of the way we are using algorithms (AI, Machine Learning) today and what that leads to. We then explore how we can add real intelligence through export knowledge to the problem of finding attackers and anomalies in our applications and networks.
Presented at AI 4 Cybersecurity in NYC on April 30, 2019
#CyberAvengers - Artificial Intelligence in the Legal and Regulatory RealmShawn Tuma
The #CyberAvengers' Paul Ferrillo (a/k/a Director Fury) and Shawn Tuma (a/k/a Hulk) presented at the Practical Cybersecurity Risk Management Strategies program of the New Jersey State Bar Association (NJSBA) Cybersecurity Institute on November 17, 2017. In this presentation, Fury and Hulk focused the core #CyberAvengers message of the real-life cybersecurity issues facing most companies -- the basics of good cyber hygiene -- and explained how artificial intelligence and machine learning will help companies do a better job at getting these right, along with how and why AI/ML play a critical role in the future of cybersecurity.
Software security, secure software development in the age of IoT, smart thing...LabSharegroup
How to design secure software products for IoT, embedded application, smart metering, smart lighting, medical application with the help of Common Criteria
WoMaster's new White Paper introduces Cyber Security features according to IEC62443 standard and proposes solutions for new cyber risks of industry 4.0.
The Challenge of Integrating Security Solutions with CI.pdfSavinder Puri
Informational article which will discuss the issues with code signing solutions as they relate to ci/cd workflows (including DIY and HSM solutions).
Targeted Persona: mostly technical decision makers and operational champions (devops/devsecops).
Top 15 AI-enabled cybersecurity companies in 2022.pdfSonaliG6
Several top cybersecurity companies are gaining traction in the fight against corporate intrusions. Various cybersecurity vendors that use artificial intelligence to defend internet-connected systems or other IoT devices exist.
Open Source Insight:Container Tech, Data Centre Security & 2018's Biggest Se...Black Duck by Synopsys
Black Duck senior technology evangelist Tim Mackey talks containers this week at DevSecCon and elaborates on his presentation, “When Good Containers Go Bad,” with IT Pro, Cloud Pro and Data Centre News. Black Duck VP of Security Strategy Mike Pittenger shares his thoughts on the biggest security threat we face in 2018. Artifex and Hancom settle their long-running open source licensing dispute, and the hidden costs of open source security.
Read all the hottest open source security and cybersecurity news in this week’s Open Source Insight.
Generic Security Framework for Multiple Heterogeneous Virtual InfrastructuresIJRES Journal
Virtualization continues to take center stage at IT industry, yet many organizations are finding it difficult to secure virtualized environments. Security is a critical component in the growing IT system surrounding virtualization. Many organizations find the security challenges associated with virtualization to be a major hurdle, companies of all kinds across all industries are looking towards addressing business and security needs in the virtual infrastructure. There are many research work done before about how to check the compliance status of the cloud platform, not of the virtual machines running on the platform. This paper proposes the security framework for multiple heterogeneous virtual machines which assess the compliance security of the virtual machines. In this paper we make use of REST APIs, using which we create remote session on the virtual machines and fetch the machine values which will be parsed to get the required values for assessment.
This presentation discusses about IoT, challenges associated with it, common threats to IoT. It also briefs about how OWASP introduces Vulnerabilities in IoT.
This blog presentation discusses the growing significance of IoT Security Testing in a world where billions of devices are getting connected via the Internet of Things.
CompTIA CySA+ Domain 2 Software and Systems Security.pptxInfosectrain3
The CompTIA Cybersecurity Analyst+ certification (also known as CySA+) is a vendor-neutral certification for cybersecurity, threat, and vulnerability analysts. It focuses on security analytics and the actual application of security solutions in real-world situations.
Industrial Control Systems Go Mobile in the CloudLockheed Martin
Industrial control systems are increasingly becoming interconnected with local area networks, wide area networks, extranet networks, and cloud computing environments. Cloud and mobile technologies provide a competitive advantage for global companies. In this research, a DevOps approach to cloud-based applications development was used to create a capability for industrial control systems management and reporting.
Organizations are increasingly looking to their Internal Auditors to provide independent assurance about cyber risks and the organization's ability to defend against cyber attacks. With information technology becoming an inherent critical success factor for every business and the emerging cyber threat landscape, every internal auditor needs to equip themselves on IT audit essentials and cyber issues.
In part 12 of our Cyber Security Series you will learn about the current cyber risks and attack methods from Richard Cascarino, including:
Where are we now and Where are we going?
Current Cyberrisks
• Data Breach and Cloud Misconfigurations
• Insecure Application User Interface (API)
• The growing impact of AI and ML
• Malware Attack
• Single factor passwords
• Insider Threat
• Shadow IT Systems
• Crime, espionage and sabotage by rogue nation-states
• IoT
• CCPA and GDPR
• Cyber attacks on utilities and public infrastructure
• Shift in attack vectors
Software piracy by users is generally believed to harm both software firms through lower profits and buying customers through higher prices . Thus, it is thought that perfect and cost less technological protection would benefit both firms and consumers. The model developed here suggests that in some circumstances, even with significant piracy, not protecting can be the best policy, both raising firm profits and lowering selling prices. Key to the analysis is joining the presence of a positive network security with the fact that piracy increases the total number of program users. The network security exists because consumers have an incentive to economize on post purchase learning and customization costs. Mrs. D. Seema Dev Aksatha | M. Blessing Marshal ""Software Piracy Protection"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd21705.pdf
Paper URL: https://www.ijtsrd.com/computer-science/computer-security/21705/software-piracy-protection/mrs-d-seema-dev-aksatha
CIS 2015 How to secure the Internet of Things? Hannes TschofenigCloudIDSummit
Companies and researchers are exploring ways to make software and hardware development easier for the masses. Soon you will be able to build your own autonomous drone, create a sensor that assess the watering needs of your plants, and develop a cat tracking device with minimal coding and hardware skills.
What is the place of security and privacy in this exciting development?
Are we building the next generation of Internet security vulnerabilities right now?
In his talk Hannes Tschofenig will highlight challenges with Internet of Things, what role standardization plays, and what contributions ARM, a provider of microprocessor IP, is making to improve IoT security.
Similar to Product security by Blockchain, AI and Security Certs (20)
DoSell vision, mission, services
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Bring your Ideas to Life & Scale Globally
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The best way to design secure software productsLabSharegroup
Our security focused software development services specializing in helping company leaders like yourself. We promise to get your software development two times quicker and security focused so you have more time to do new releases, and other things you need to do.
Interested in getting your company brand secured by an experienced team that knows the way?
Customers love how easy to start with Java OSGi development framework.
The big benefit is that it helps business leaders, managers to control more about software design, security related risks. They can identify immediately what risks have about the product, which features are risky, and much more. This helps them change their development process to match the security standards, ultimately increasing company brand recognition and generating more sales.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Knowledge engineering: from people to machines and back
Product security by Blockchain, AI and Security Certs
1.
2. 2
Product Security by Blockchain, by Tibor Zahorecz
AI and Security Certification landing page
for Startups (series B, C), SME and Technology Fast 500 send me feedback here
3. AGENDA
PROBLEM BLOCKCHAIN,
AI
PRODUCT
SECURITY
SOLUTION BEHIND
Are IT products
reliable and secure?
Blockchain, AI is the
new Technology of
Trust?
Product Security by
International security
standards and
practices
Why International
security certs are
good for the world,
markets and the
vendors
Behind this deck
3
5. Over 8600 Vulnerabilities found in pacemakers (Medical sector)
media: https://thehackernews.com/2017/06/pacemaker-vulnerability.html
In a recent study, researchers from security firm
White Scope analysed seven pacemaker products
from four different vendors and discovered that
they use more than 300 third-party libraries, 174
of which are known to have over 8,600
vulnerabilities that hackers could exploit in
pacemaker programmers.
5
6. Deep flaw in your car (Mobility sector)
media: https://www.wired.com/story/car-hack-shut-down-safety-features/
Highlighting a little-noticed automotive hacking
technique it presented at the DIVMA security
conference in Bonn, Germany. Along with
researchers at LinkLayer Labs and the
Polytechnic University of Milan. Their work points
to a fundamental security issue in the CAN
protocol that car components use to
communicate and send commands to one
another within the car's network, one that would
allow a hacker who accesses the car's internals
to shut off key automated components, including
safety mechanisms
6
7. Hacking industrial robots (Industry 4.0)
Group of researchers from Polytechnic University
of Milan and Trend Micro has discovered that
some robots are directly connected to the
Internet (for example, for receiving updates from
the manufacturer or sending telemetry to
company headquarters), or to an insufficiently
isolated factory Wi-Fi network. This enables
malefactors to discover robots with the help of a
dedicated scanner.
The robots are easy prey. With no encryption
used when updating firmware, no digitally signed
firmware at all, and default user names and
passwords used, anyone who finds a robot’s IP
address can modify its configuration files and
change its operation logic. 7
media: https://www.kaspersky.com/blog/hacking-industrial-robots/17879/
8. Hacking IoT Devices: How to Create a Botnet of Refrigerators (IoT)
source: https://www.thesslstore.com/blog/hacking-iot-devices-create-botnet-refrigerators/
DDoS attacks that use botnets made of IoT
devices are not just possible—they’re happening.
Mirai primarily targeted IoT devices.
It did this by using devices it had already infected
to scan the internet for IoT devices. Once it
identified its targets, it used a table of over 60
common factory default usernames and
passwords to hack into the devices.
Deep dive into IoT Hacks
8
10. Blockchain is secure
Blockchain has the potential to change the way we buy
and sell, interact with government and verify the
authenticity of everything
See the interactive intro
11. What is Blockchain?
Deep Dive
Blockchain at Berkeley
The Blockchain Fundamentals DeCal is a
comprehensive survey of relevant topics in
cryptocurrency and the wider blockchain space…
See in the Lecture notes for more information
11
12. What is AI?
Deep Dive
Google deck about ML, AI, DL
The system implemented today are a form of
narrow AI - a system that can do just one defined
things better than humans.
See in the Lecture notes for more information
12
13. What is a Decentralized AI?
Blockchains and deep learning
Content:
Why decentralized and AI are relevant to each other
Overview of deep learning
Problems with centralized machine learning
What decentralization is and isn't
Problems with the web today
First generation peer-to-peer networks
Applications of cryptography
Decentralizing the web; storage, transport, &
computation
Smart contracts and automation
Decentralized autonomous organizations
See in the Lecture notes for more information
13
14. Decentralized Artificial Intelligence in Practice
OpenMined
OpenMined is a community focused on building
open-source technology for the decentralized
ownership of data and intelligence.
The OpenMined ecosystem incorporates a number
of technologies including federated machine
learning, blockchain, multi-party computation, and
homomorphic encryption.
See in the Lecture notes for more information
14
15. AI and DL current topics for Product Security
Hands-On Workshop: Creating Intelligent Physical Security
Products Using AI and Deep Learning by NVIDIA: link
Machine Learning in Cyber Security Domain: blog
How machine learning can be used to write more secure
computer programs (link)
IoT Security Techniques Based on Machine Learning (study)
MLconf 2017 Seattle presentations
Study of Deep Learning Techniques for Side-Channel
Analysis and Introduction to ASCAD Database (paper link)
GitHub Repo (https://github.com/ANSSI-FR/ASCAD)
● Copyright (C) 2018, ANSSI and CEA
15
16. Blockchain Protocol Analysis and Security Engineering 2017
/Stanford/
deep dive
How Formal Analysis and Verification
Add Security to Blockchain
Layers for security consideration:
Key Management, Audit, Backup: ISO/IEC 27000
Program Code, Secure Hardware: ISO/IEC 15408
(Common Criteria)
Privacy protection, Secure transaction: ISO/IEC
29128
The 2018 agenda link in the lecture note
16
17. How Formal Analysis and Verification Add Security to Blockchain-
based Systems by Shin’ichiro Matsuo (MIT Media Lab) Pindar Wong (VeriFi Ltd.) source
17
18. Blockchain Protocol Analysis and Security Engineering 2018
/Stanford/
deep dive
The conference materials are online
Some topics
Charles Guillemet; State-of-the-art Attacks on
Secure Hardware Wallets
Florian Tramèr et al.; Enter the Hydra: Towards
Principled Bug Bounties and Exploit-Resistant
Smart Contracts
Michael Egorov; NuCypher KMS: Decentralized
key management system
Agenda, and materials
18
21. Common Criteria is an International security scheme
Common Criteria Certification provides independent, objective validation of the
reliability, quality, and trustworthiness of IT products.
XEROX
‘It is a standard that customers can rely
on to help them make informed
decisions about their IT purchases’
https://www.xerox.com/information-
security/common-criteria/enus.html
Dell EMC
‘Certification for Common Criteria for
Information Technology Security
Evaluation (Common Criteria) is part of
our comprehensive Product Security
Program that ensures delivery of
secure products to enable information
infrastructure security for
organizations.’
https://australia.emc.com/products/se
curity/external-security-validation.htm
NATO
‘By establishing a common base, the
results of an IT security evaluation are
more meaningful to a wider audience.’
https://www.ia.nato.int/guidance-more
21
22. Some Certified IT Product categories (lists are in the lecture note)
COMMUNICATIONS AND
SURVEILLANCE:
Secure Communications, Devices and Management,
Tactical Radios, Tablets, Phones and Mobile etc.
CRYPTOGRAPHY &
CRYPTOGRAPHIC LIBRARIES
NETWORK SECURITY:
IT Management Systems for Infrastructure
Network Automation, Configuration and
Management
Virtual Networking Server Mgmt Solutions
VPN, Switches and Routers
Network & Network Related Devices and
Systems
Data Compression and Network Security
Solutions
Server Automation & Management
Secure Web Gateway
STORAGE
DATA MANAGEMENT:
Encryption Management Strategy
Data Compression and Network Security
Solutions, Virtual Machine Storage etc.
APPLICATION SOFTWARE:
Assertively implement one-to-one
platforms whereas cooperative schemas.
CLOUD SERVICES
SECURITY INFORMATION &
EVENT MANAGEMENT (SIEM),
LOG ANALYSIS
SMART CARD & READER
OPERATING SYSTEMS
INTRUSION & VULNERABILITY
PREVENTION
22
23. Database products - Product Security Practice - by MarkLogic
Deep Dive
Building Security Into MarkLogic
Given the increase in data breaches, securing the
perimeter is no longer enough.
The database itself must be secure. That is why
according to MarkLogic, an industry leader in
next-gen database technology, Common Criteria
Certification* and advanced security features like
element level security and advanced encryption
are critical elements a database must include in
today’s constantly evolving threat environment.
23
* Building Security Into MarkLogic white paper, MarkLogic
24. Cybersecurity - Product Security Practice - by McAfee
Deep Dive
McAfee Product Security Practices
McAfee’s takes product security very seriously. Our
practices include designing for both security and
privacy, in software and applications.
We have rigorous product security policies and
processes designed to proactively find and remove
software security defects, e.g. security vulnerabilities.
We understand that our products must not only fulfill
the stated function to help protect our customers, the
McAfee software itself must also aim to protect itself
from vulnerabilities and attackers. McAfee strives to
build software that demonstrates resilience against
attacks. (url)
Core Software Security book by Dr. James Ransome (
Senior Director of Product Security McAfee): link
Advice for software companies in lecture notes 24
25. Experiences from the certification of an open source product -
PrimeKey
Key messages:
Benefits of Common Criteria
● Improved software quality
● Improved security documentation
● Independent security audit
● Secure development processes
● Increased market potential
Applicability of Certification
Although it does provide security benefits as described,
the cost and work involved is usually too high for any
organization to perform a certification unless there are
clear business requirements or advantages. There are
huge differences depending on the product type and
area.
Lecture notes contains more information
25
* Tomas Gustavsson, M.Sc has been researching and implementing PKI systems
since 1994. CTO at PrimeKey, founder of open source PKI project EJBCA and
committed follower of open standards.
26. BSIMM - Bringing science to software security
Deep Dive
About the BSIMM
BSIMM, pronounced “bee simm” is a study of
existing software security initiatives.
By quantifying the practices of many different
organizations, we can describe the common
ground shared by many as well as the variations
that make each unique.
Why Join?
https://www.bsimm.com/about/membership.htm
l
26
28. Customers and Market benefits from product security certification
BY GENE KEELING, DIRECTOR, GLOBAL CERTIFICATION TEAM, CISCO (read more)
Improved availability of assessed,
security-enhanced IT products
Improved citizen confidence in products
Consumers are able to compare their
needs beside the Common Criteria’s
consistent standards to decide on the
level of security required.
Allowing vendors to focus resources on
standard requirements for the
improvement of security in products
Buyers can be more definitive when
determining if particular products meet
their specific requirements
28
29. Vendors benefits from product security certification
Regulated Industries market access
(unlocking): > $500 Billion
FED Total Addressable Market access:
$90 Billion
Governments market access (globally)
Transnational Organization market
access: NATO, EU, Banking etc.
Gain competitive edge in the marketplace
Elevate company’s brand as products are
independently evaluated against
transparent and auditable standards for
security.
Build secure products with less
vulnerabilities (branding)
29
31. Worldwide Recognition
Twenty-seven countries, including the United States and Canada, have signed the Common Criteria Recognition
Arrangement (CCRA), making it an unparalleled measure of security for the international commerce of IT
products.
Why Pursue Common Criteria Validation?
Access previously untapped markets, such as the Intelligence Community, Financial Services, Healthcare,
Critical Infrastructure, and US and Foreign governments
Demonstrate corporate commitment to product security
Elevate company’s brand to potential customers that products have been independently evaluated against
transparent and auditable standards for security
31
32. Minimize the uncertainty with Readiness Assessment
Avoid speculation over wide ranging estimates, conflicting timelines, and confusing
requirements with an internal audit of your company’s certification readiness
Problem:
These certifications are fraught with
uncertainties and challenges which
if not properly understood and
addressed can lead to missteps,
perils, and significant opportunity
costs for most companies.
Questions always on client side:
How much does this cost?
How long will this take?
How much impact will this have on
our engineering staff?
Solution: The Readiness Assessment
is a highly engaged and interactive session which goes beyond
assessing a product’s security gaps to addressing a company’s
overall preparedness when embarking on a certification effort.
Examines the critical success factors in every certification effort as
well as uncovers potential failure points in the process for your
specific projects. Finally, the teams work together to produce a
roadmap that best fits your organization and certification goals.
It will encompass all aspects of the certification effort; including
costs, potential human capital considerations, product readiness,
and timing.
Inputs and Discussion Topics:
• Libraries & Cryptographic Health Analysis
• User I&A/AAA Analysis
• Vulnerability Assessment & Patch/Update Strategy
• Product Architecture & Security Review
• Intellectual Property Protection
• Documentation, Testing, & Program Requirements 32
35. WHY CORSEC
DISCOVER REQUIRED PRODUCT CHANGES
EARLY IN THE PROCESS 75%
FIXED PRICE & FIXED TIMELINES 90%
PRODUCT SECURITY EXPERIENCE > 325 UNIQUE PRODUCTS 95%
> 1 million HOURS SECURITY VALIDATION 99%
For two decades Corsec has partnered with companies around the
world to accelerate go-to-market readiness, improve brand reputation,
and significantly increase financial returns for our clients. Our turnkey
approach gets companies through FIPS 140-2, Common Criteria, and
listing on the DoD APL while reducing the internal engineering burden
associated with product security compliance and security hardening
while mitigating the risks associated with security certifications.
References
DONE ONCE, DONE RIGHT
35
36. WHY CCLab
RESPONSIVENESS 90%
AGILE - SPEED - TIME TO MARKET 95%
AFFORDABLE 99%
CCLab is an accredited Common Criteria evaluation
laboratory based in Budapest operating under the
Italian governmental security scheme (OCSI). It has
experience in the evaluation of crypto libraries,
SmartCards, digital signature applications, digital
wallets, PKI and Blockchain-based applications.
References
We help to make products secure and internationally
accepted.
36
37. LabShare
Find and obtain software security, secure software development and
niche engineering services from audited Labs and firms.
Improve your product security level
37