we provide an overview of leading Security Detection Solutions and technologies and discuss their relative advantages to help inform organizations’ decisions.
Intelligence Driven Threat Detection and ResponseEMC
This document discusses intelligence driven threat detection and response. The key points are:
1) Organizations must detect threats early before harm occurs by actively hunting for intruders rather than relying on passive detection tools. This requires new capabilities in data analysis and incident response.
2) Intelligence driven security enhances threat detection and response by providing visibility, advanced analytics, signature-less malware detection, and empowering security teams.
3) To achieve intelligence driven security, organizations should advance capabilities in network and endpoint monitoring, advanced analytics, malware analysis, and incident response practices.
This document discusses ethical hacking and penetration testing. It defines ethical hacking as using the same tools and techniques as hackers but without causing damage or stealing information. The goals are to identify vulnerabilities and provide advice on eliminating them. It discusses planning tests, who should perform them, how often, and how to measure results. Areas to test include applications, firewalls, networks, and wireless security. Ethical hackers need strong skills, constant learning, and trustworthiness. Companies can use external or internal ethical hackers. The testing poses some risks but helps companies understand their risks and better manage security.
Looking to understand how hackers and other attackers use cyber technology to attack your network and your executives? This slide set provides an overview and details the anatomy of a cyber attack, and the strategies you can use to manage and mitigate risk.
As delusions of effective risk management for application environments continue to spread, companies continue to bleed large amounts of security spending without truly knowing if the amount is warranted, effective, or even elevating security at all. In parallel, hybrid, thought-provoking security strategies are moving beyond conceptual ideas to practical applications within ripe environments. Application Threat Modeling is one of those areas that, beyond the hype, provides practical and sensible security strategy that leverages already existing security efforts for an improved threat model of what is lurking in the shadows.
Tony UcedaVelez, Managing Director
An experienced security management professional, Tony has more than 10 years of hands-on security and technology experience and is a vocal advocate of security process engineering – a term that describes the design and development of secure processes and controls working symbiotically to create a unique business workflow. Tony currently serves as Managing Director for an Atlanta based risk advisory firm that focuses on security strategy and delivering effective means for risk mitigation and security process engineering. He has worked and consulted for the Fortune 500, as well as federal agencies in the U.S. on the topic of application security and security process engineering.
The document outlines the processes for planning, building, and managing a network security design. It discusses conducting a security assessment, defining security requirements, analyzing threats and risks, developing a network security policy, creating a risk management plan, and designing the network architecture and processes. It then categorizes the organization's assets by priority and identifies some key threats like malware attacks, DDoS attacks, and phishing with their corresponding system vulnerabilities. Finally, it provides a risk management plan with threat levels, risks, and recommended risk controls.
This document discusses ethical hacking and penetration testing. It begins by defining ethical hacking and why companies hire ethical hackers to test their security systems. It then discusses how to properly plan and conduct penetration tests, including choosing testers, testing frequency, measuring results, and following security policies. Finally, it covers common hacking techniques like denial of service attacks, tools used in ethical hacking, and the goals of information security testing.
TIG / Infocyte: Proactive Cybersecurity for State and Local GovernmentInfocyte
This webinar and presentation outlines the Infocyte HUNT threat detection and incident response platform, and how it enables state and local government organizations:
- Reduce risk across local, off-network, and cloud IT assets
- Expose and eliminate hidden cyber threats and vulnerabilities
- Streamline your overall security operations
- Achieve and maintain compliance
Using Infocyte, TIG can provide their customers with cost-effective, easy-to-manage, and on-demand cybersecurity consulting services (e.g. compromise assessments, incident response) and managed security services (e.g. managed detection and response).
Visit https://www.infocyte.com/ to learn more and request a demo, or request a cybersecurity risk assessment (Compromise Assessment) using the link below:
https://www.infocyte.com/free-compromise-assessment/
Information Securityfind an article online discussing defense-in-d.pdfforladies
Information Security
find an article online discussing defense-in-depth. List your source and provide a paragraph
summary of what the article stated.
Solution
Abstract
The exponential growth of the Internet interconnections has led to a significant growth of cyber
attack incidents often with disastrous and grievous consequences. Malware is the primary choice
of weapon to carry out malicious intents in the cyberspace, either by exploitation into existing
vulnerabilities or utilization of unique characteristics of emerging technologies. The
development of more innovative and effective malware defense mechanisms has been regarded
as an urgent requirement in the cybersecurity community. To assist in achieving this goal, we
first present an overview of the most exploited vulnerabilities in existing hardware, software, and
network layers. This is followed by critiques of existing state-of-the-art mitigation techniques as
why they do or don\'t work. We then discuss new attack patterns in emerging technologies such
as social media, cloud computing, smartphone technology, and critical infrastructure. Finally, we
describe our speculative observations on future research directions.
A multi-layered approach to cyber security utilising machine learning and advanced analytics is
essential to defend against sophisticated multi-stage attacks including:
Insider Threats | Advanced Human Attacks | Supply Chain Infection | Ransomware |
Compromised User Accounts | Data Loss
Prepare for a cyber security incident or attack and how to adequately manage the aftermath with
an organised approach to Incident Response – coordinating resources, people, information,
technology and complying with regulations.
INSIDER THREATS
Insider threat can originate from employees, contractors, third party services or anyone with
access rights to your network, corporate data or business premises.
The challenge is to identify attacks and understand how they develop in real-time by analysing
and correlating the subtle signs of compromise that an insider makes when they infiltrate the
network.
Traditional security measures are no longer sufficient to combat insider threat. A more
sophisticated, intelligence-based approach is required. Cyberseer uses machine-learning
technology to form a behavioural baseline for every user to determine normal activity and spot
new, previously unidentified threat behaviours. The move to a more proactive approach towards
security will enable companies to take action to thwart developing situations escalating into
exfiltrated information or damaging incidents.
ADVANCED HUMAN ATTACKS
Advanced threats use a set of stealthy and continuous processes to target an organisation, which
is often orchestrated for business or political motives by individuals (or groups). The “advanced”
process signifies sophisticated techniques using malware to exploit vulnerabilities in
organisations systems. They are considered persistent because an external command and control
system .
Intelligence Driven Threat Detection and ResponseEMC
This document discusses intelligence driven threat detection and response. The key points are:
1) Organizations must detect threats early before harm occurs by actively hunting for intruders rather than relying on passive detection tools. This requires new capabilities in data analysis and incident response.
2) Intelligence driven security enhances threat detection and response by providing visibility, advanced analytics, signature-less malware detection, and empowering security teams.
3) To achieve intelligence driven security, organizations should advance capabilities in network and endpoint monitoring, advanced analytics, malware analysis, and incident response practices.
This document discusses ethical hacking and penetration testing. It defines ethical hacking as using the same tools and techniques as hackers but without causing damage or stealing information. The goals are to identify vulnerabilities and provide advice on eliminating them. It discusses planning tests, who should perform them, how often, and how to measure results. Areas to test include applications, firewalls, networks, and wireless security. Ethical hackers need strong skills, constant learning, and trustworthiness. Companies can use external or internal ethical hackers. The testing poses some risks but helps companies understand their risks and better manage security.
Looking to understand how hackers and other attackers use cyber technology to attack your network and your executives? This slide set provides an overview and details the anatomy of a cyber attack, and the strategies you can use to manage and mitigate risk.
As delusions of effective risk management for application environments continue to spread, companies continue to bleed large amounts of security spending without truly knowing if the amount is warranted, effective, or even elevating security at all. In parallel, hybrid, thought-provoking security strategies are moving beyond conceptual ideas to practical applications within ripe environments. Application Threat Modeling is one of those areas that, beyond the hype, provides practical and sensible security strategy that leverages already existing security efforts for an improved threat model of what is lurking in the shadows.
Tony UcedaVelez, Managing Director
An experienced security management professional, Tony has more than 10 years of hands-on security and technology experience and is a vocal advocate of security process engineering – a term that describes the design and development of secure processes and controls working symbiotically to create a unique business workflow. Tony currently serves as Managing Director for an Atlanta based risk advisory firm that focuses on security strategy and delivering effective means for risk mitigation and security process engineering. He has worked and consulted for the Fortune 500, as well as federal agencies in the U.S. on the topic of application security and security process engineering.
The document outlines the processes for planning, building, and managing a network security design. It discusses conducting a security assessment, defining security requirements, analyzing threats and risks, developing a network security policy, creating a risk management plan, and designing the network architecture and processes. It then categorizes the organization's assets by priority and identifies some key threats like malware attacks, DDoS attacks, and phishing with their corresponding system vulnerabilities. Finally, it provides a risk management plan with threat levels, risks, and recommended risk controls.
This document discusses ethical hacking and penetration testing. It begins by defining ethical hacking and why companies hire ethical hackers to test their security systems. It then discusses how to properly plan and conduct penetration tests, including choosing testers, testing frequency, measuring results, and following security policies. Finally, it covers common hacking techniques like denial of service attacks, tools used in ethical hacking, and the goals of information security testing.
TIG / Infocyte: Proactive Cybersecurity for State and Local GovernmentInfocyte
This webinar and presentation outlines the Infocyte HUNT threat detection and incident response platform, and how it enables state and local government organizations:
- Reduce risk across local, off-network, and cloud IT assets
- Expose and eliminate hidden cyber threats and vulnerabilities
- Streamline your overall security operations
- Achieve and maintain compliance
Using Infocyte, TIG can provide their customers with cost-effective, easy-to-manage, and on-demand cybersecurity consulting services (e.g. compromise assessments, incident response) and managed security services (e.g. managed detection and response).
Visit https://www.infocyte.com/ to learn more and request a demo, or request a cybersecurity risk assessment (Compromise Assessment) using the link below:
https://www.infocyte.com/free-compromise-assessment/
Information Securityfind an article online discussing defense-in-d.pdfforladies
Information Security
find an article online discussing defense-in-depth. List your source and provide a paragraph
summary of what the article stated.
Solution
Abstract
The exponential growth of the Internet interconnections has led to a significant growth of cyber
attack incidents often with disastrous and grievous consequences. Malware is the primary choice
of weapon to carry out malicious intents in the cyberspace, either by exploitation into existing
vulnerabilities or utilization of unique characteristics of emerging technologies. The
development of more innovative and effective malware defense mechanisms has been regarded
as an urgent requirement in the cybersecurity community. To assist in achieving this goal, we
first present an overview of the most exploited vulnerabilities in existing hardware, software, and
network layers. This is followed by critiques of existing state-of-the-art mitigation techniques as
why they do or don\'t work. We then discuss new attack patterns in emerging technologies such
as social media, cloud computing, smartphone technology, and critical infrastructure. Finally, we
describe our speculative observations on future research directions.
A multi-layered approach to cyber security utilising machine learning and advanced analytics is
essential to defend against sophisticated multi-stage attacks including:
Insider Threats | Advanced Human Attacks | Supply Chain Infection | Ransomware |
Compromised User Accounts | Data Loss
Prepare for a cyber security incident or attack and how to adequately manage the aftermath with
an organised approach to Incident Response – coordinating resources, people, information,
technology and complying with regulations.
INSIDER THREATS
Insider threat can originate from employees, contractors, third party services or anyone with
access rights to your network, corporate data or business premises.
The challenge is to identify attacks and understand how they develop in real-time by analysing
and correlating the subtle signs of compromise that an insider makes when they infiltrate the
network.
Traditional security measures are no longer sufficient to combat insider threat. A more
sophisticated, intelligence-based approach is required. Cyberseer uses machine-learning
technology to form a behavioural baseline for every user to determine normal activity and spot
new, previously unidentified threat behaviours. The move to a more proactive approach towards
security will enable companies to take action to thwart developing situations escalating into
exfiltrated information or damaging incidents.
ADVANCED HUMAN ATTACKS
Advanced threats use a set of stealthy and continuous processes to target an organisation, which
is often orchestrated for business or political motives by individuals (or groups). The “advanced”
process signifies sophisticated techniques using malware to exploit vulnerabilities in
organisations systems. They are considered persistent because an external command and control
system .
The Cyber Kill Chain describes the typical stages of a cyberattack: reconnaissance, weaponization, delivery, exploitation, installation, command and control, and actions on objective. Organizations can use this framework to understand attacks and develop defenses. They can also correlate security information and management (SIEM) data to detect attacks corresponding to each stage. Recommendations for prevention and detection include threat intelligence, malware analysis, email security, intrusion detection, access management, and incident response planning. The Cyber Kill Chain provides a high-level view, while the MITRE ATT&CK Framework details tactics and techniques, allowing comprehensive defenses.
This document discusses application security testing and provides recommendations for a comprehensive testing plan. It begins by outlining common application security vulnerabilities like injection flaws, cross-site scripting, and sensitive data exposure. It then recommends using tools like vulnerability scanning, threat modeling, code analysis, and penetration testing to test for vulnerabilities. The document concludes by describing how to test for issues in specific areas like authentication, authorization, data validation, and payment processing.
This solution overview discusses solving Security Information and Event Management (SIEM) challenges with RSA Security Analytics, which enables security analysts to be effective in protecting an organization’s digital assets and IT systems.
Cyber Security protection by MultiPoint Ltd.Ricardo Resnik
This document provides information about MultiPoint Ltd., a cyber security company that distributes security and networking software. It discusses MultiPoint's vendors and customers, as well as concepts like the attack lifecycle and challenges of detection. It also summarizes some of MultiPoint's product offerings and how they help customers adapt security posture, optimize resources, manage portfolio risk, and rapidly respond to threats.
The document discusses the McAfee Network Security Platform (NSP), an intrusion prevention system. The NSP uses techniques like stateful traffic inspection, signature detection, anomaly detection, and advanced malware detection to protect networks from attacks. It can detect threats inside and outside the network and respond according to security policies. The NSP consists of sensors deployed at key points in the network and a manager to configure and manage the sensors.
Information Systems and Networks are subjected to electronic attacks. When
network attacks hit, organizations are thrown into crisis mode. From the IT department to
call centers, to the board room and beyond, all are fraught with danger until the situation is
under control. Traditional methods which are used to overcome these threats (e.g. firewall,
antivirus software, password protection etc.) do not provide complete security to the system.
This encourages the researchers to develop an Intrusion Detection System which is capable
of detecting and responding to such events. This review paper presents a comprehensive
study of Genetic Algorithm (GA) based Intrusion Detection System (IDS). It provides a
brief overview of rule-based IDS, elaborates the implementation issues of Genetic Algorithm
and also presents a comparative analysis of existing studies.
Cyber security involves implementing layers of security and protection against digital attacks across computers, devices, systems, and networks. Organizations use frameworks to detect and identify threats, protect assets, and recover from attacks. There are various types of cyber security threats including cybercrime, cyberterrorism, and cyberattacks. Performing risk assessments is important to understand potential security risks and impacts. Assessments involve identifying risks, analyzing likelihood and impacts, developing controls, documenting processes, and ongoing monitoring. Common security risks include viruses/malware, phishing, ransomware, and denial of service attacks. Organizations should use various security testing methods like audits, penetration testing, and vulnerability scanning to regularly evaluate security weaknesses.
Cyber-Espionage: Understanding the Advanced Threat LandscapeAaron White
Sophisticated cyber espionage operations currently present the biggest threat to small and medium sized businesses. Advanced persistent threats (APTs) ranging from nation-states to organized crime use zero-day exploits, customized malware, and social engineering to infiltrate networks, remain undetected for long periods, and steal valuable data. This presentation aims to explain APT attacks and provide recommendations on prevention, detection, and mitigation. It describes the typical four stages of an APT attack - reconnaissance, intrusion and infection, lateral movement within the network, and data exfiltration - and challenges of implementing security information and event management systems to detect such threats. Managed security services that provide 24/7 monitoring, threat analysis and response
Technology for Cyber Security - Cyberroot Risk AdvisoryCR Group
Technology plays a crucial role in strengthening organizations' cybersecurity defenses. Advances like machine learning, behavioral analytics, multi-factor authentication, and privileged access management enhance threat detection and prevention. Security information and event management systems and security orchestration platforms automate incident response to enable faster reaction times. Implementing secure coding practices and integrating security into software development lifecycles via DevSecOps also helps build resilient systems.
This document discusses securing healthcare networks against cyber attacks. It proposes using intrusion detection systems to continuously monitor networks, firewalls to ensure endpoint devices comply with security policies, and biometrics for identity-based network access control. This would help protect patient privacy by safeguarding electronic health records and enhancing the security of hospital networks. The growing adoption of electronic records and devices in healthcare has increased risks of attacks that could intercept patient data or take over entire hospital networks. Strong network security measures are needed to address these risks.
Is SIEM really Dead ? OR Can it evolve into a Platform ?Aujas
The challenges with SIEM and How it can become an integrated security platform, to provide a framework for managing next generation SOC, and mitigate advanced attacks
Optimizing Security Operations: 5 Keys to SuccessSirius
Organizations are suffering from cyber fatigue, with too many alerts, too many technologies, and not enough people. Many security operations center (SOC) teams are underskilled and overworked, making it extremely difficult to streamline operations and decrease the time it takes to detect and remediate security incidents.
Addressing these challenges requires a shift in the tactics and strategies deployed in SOCs. But building an effective SOC is hard; many companies struggle first with implementation and then with figuring out how to take their security operations to the next level.
Read to learn:
--Advantages and disadvantages of different SOC models
--Tips for leveraging advanced analytics tools
--Best practices for incorporating automation and orchestration
--How to boost incident response capabilities, and measure your efforts
--How the NIST Cybersecurity Framework and CIS Controls can help you establish a strong foundation
Start building your roadmap to a next-generation SOC.
Security O365 Using AI-based Advanced Threat ProtectionBitglass
Office 365 has garnered widespread adoption from enterprises due to its advantages such as ease of deployment, lower TCO, and high scalability. Additionally, it enables end-users to work and collaborate from anywhere and on any device. Although Office 365 enables IT to shift the burden for app and infrastructure to the cloud vendor, data security remains the responsibility of the enterprise. Given the limitations of native malware protection on Office 365, should the enterprise rely on Office 365 to protect their data from malware and ransomware?
Join Bitglass and Cylance for a discussion on malware protection solutions for Office 365. We will cover the limitations of native Office 365 malware protection as well as the benefits of AI and machine learning based approaches. We will wrap up the session by discussing how CASBs, with Advanced Threat Protection (ATP) capabilities, are uniquely positioned to protect cloud apps and end-points from malware attacks and proliferation.
The document discusses how security operations centers are adopting machine learning and artificial intelligence technologies to automate cybersecurity tasks like detecting threats, analyzing vast amounts of data, and responding quickly to incidents. It provides examples of how Oracle's cloud-based cybersecurity applications incorporate machine learning algorithms to continuously learn normal behavior, detect anomalies, and automate responses. The document advocates for adopting an intelligent, adaptive security framework that relies on AI and machine learning rather than static rules to manage hybrid cloud environments.
This document provides an overview of malware topics that will be covered in a 4-week lecture series. It defines malware and describes common types including viruses, worms, trojans, ransomware, bots/botnets, adware, spyware, rootkits, and fileless malware. It explains how malware spreads and signs of infection. Methods of malware analysis, detection techniques, and creating a safe analysis environment are outlined. Potential malware sources and 5 cyber threat trends for 2022 are also summarized. The document concludes with 5 case studies examining real-world incidents involving supply chain attacks, account takeovers, out-of-hours attacks, lower barriers to entry for criminals, and new ransomware approaches.
The intelligence lifecycle entails transforming raw data into final intelligence for decision-making. Deconstruct this domain to boost your organization's cyber defenses.
Malware Detection By Machine Learning Presentation.pptxalishapatidar2021
This document presents information on malware detection using machine learning. It defines malware and describes common types like viruses, adware, ransomware, rootkits, and spyware. It also outlines malware detection methods and symptoms. Machine learning algorithms like decision trees, SVM, random forest, and XGBoost are proposed for detection. Existing systems apply techniques like malware behavior analysis, classification, and neural networks. The document concludes machine learning can accurately detect malware and help overcome drawbacks of previous systems.
Threat intelligence provides information across a wide range of sources to assist associations with safeguarding their resources by working with a designated network safety procedure. Call Us: +1 (978)-923-0040
The Cyber Kill Chain describes the typical stages of a cyberattack: reconnaissance, weaponization, delivery, exploitation, installation, command and control, and actions on objective. Organizations can use this framework to understand attacks and develop defenses. They can also correlate security information and management (SIEM) data to detect attacks corresponding to each stage. Recommendations for prevention and detection include threat intelligence, malware analysis, email security, intrusion detection, access management, and incident response planning. The Cyber Kill Chain provides a high-level view, while the MITRE ATT&CK Framework details tactics and techniques, allowing comprehensive defenses.
This document discusses application security testing and provides recommendations for a comprehensive testing plan. It begins by outlining common application security vulnerabilities like injection flaws, cross-site scripting, and sensitive data exposure. It then recommends using tools like vulnerability scanning, threat modeling, code analysis, and penetration testing to test for vulnerabilities. The document concludes by describing how to test for issues in specific areas like authentication, authorization, data validation, and payment processing.
This solution overview discusses solving Security Information and Event Management (SIEM) challenges with RSA Security Analytics, which enables security analysts to be effective in protecting an organization’s digital assets and IT systems.
Cyber Security protection by MultiPoint Ltd.Ricardo Resnik
This document provides information about MultiPoint Ltd., a cyber security company that distributes security and networking software. It discusses MultiPoint's vendors and customers, as well as concepts like the attack lifecycle and challenges of detection. It also summarizes some of MultiPoint's product offerings and how they help customers adapt security posture, optimize resources, manage portfolio risk, and rapidly respond to threats.
The document discusses the McAfee Network Security Platform (NSP), an intrusion prevention system. The NSP uses techniques like stateful traffic inspection, signature detection, anomaly detection, and advanced malware detection to protect networks from attacks. It can detect threats inside and outside the network and respond according to security policies. The NSP consists of sensors deployed at key points in the network and a manager to configure and manage the sensors.
Information Systems and Networks are subjected to electronic attacks. When
network attacks hit, organizations are thrown into crisis mode. From the IT department to
call centers, to the board room and beyond, all are fraught with danger until the situation is
under control. Traditional methods which are used to overcome these threats (e.g. firewall,
antivirus software, password protection etc.) do not provide complete security to the system.
This encourages the researchers to develop an Intrusion Detection System which is capable
of detecting and responding to such events. This review paper presents a comprehensive
study of Genetic Algorithm (GA) based Intrusion Detection System (IDS). It provides a
brief overview of rule-based IDS, elaborates the implementation issues of Genetic Algorithm
and also presents a comparative analysis of existing studies.
Cyber security involves implementing layers of security and protection against digital attacks across computers, devices, systems, and networks. Organizations use frameworks to detect and identify threats, protect assets, and recover from attacks. There are various types of cyber security threats including cybercrime, cyberterrorism, and cyberattacks. Performing risk assessments is important to understand potential security risks and impacts. Assessments involve identifying risks, analyzing likelihood and impacts, developing controls, documenting processes, and ongoing monitoring. Common security risks include viruses/malware, phishing, ransomware, and denial of service attacks. Organizations should use various security testing methods like audits, penetration testing, and vulnerability scanning to regularly evaluate security weaknesses.
Cyber-Espionage: Understanding the Advanced Threat LandscapeAaron White
Sophisticated cyber espionage operations currently present the biggest threat to small and medium sized businesses. Advanced persistent threats (APTs) ranging from nation-states to organized crime use zero-day exploits, customized malware, and social engineering to infiltrate networks, remain undetected for long periods, and steal valuable data. This presentation aims to explain APT attacks and provide recommendations on prevention, detection, and mitigation. It describes the typical four stages of an APT attack - reconnaissance, intrusion and infection, lateral movement within the network, and data exfiltration - and challenges of implementing security information and event management systems to detect such threats. Managed security services that provide 24/7 monitoring, threat analysis and response
Technology for Cyber Security - Cyberroot Risk AdvisoryCR Group
Technology plays a crucial role in strengthening organizations' cybersecurity defenses. Advances like machine learning, behavioral analytics, multi-factor authentication, and privileged access management enhance threat detection and prevention. Security information and event management systems and security orchestration platforms automate incident response to enable faster reaction times. Implementing secure coding practices and integrating security into software development lifecycles via DevSecOps also helps build resilient systems.
This document discusses securing healthcare networks against cyber attacks. It proposes using intrusion detection systems to continuously monitor networks, firewalls to ensure endpoint devices comply with security policies, and biometrics for identity-based network access control. This would help protect patient privacy by safeguarding electronic health records and enhancing the security of hospital networks. The growing adoption of electronic records and devices in healthcare has increased risks of attacks that could intercept patient data or take over entire hospital networks. Strong network security measures are needed to address these risks.
Is SIEM really Dead ? OR Can it evolve into a Platform ?Aujas
The challenges with SIEM and How it can become an integrated security platform, to provide a framework for managing next generation SOC, and mitigate advanced attacks
Optimizing Security Operations: 5 Keys to SuccessSirius
Organizations are suffering from cyber fatigue, with too many alerts, too many technologies, and not enough people. Many security operations center (SOC) teams are underskilled and overworked, making it extremely difficult to streamline operations and decrease the time it takes to detect and remediate security incidents.
Addressing these challenges requires a shift in the tactics and strategies deployed in SOCs. But building an effective SOC is hard; many companies struggle first with implementation and then with figuring out how to take their security operations to the next level.
Read to learn:
--Advantages and disadvantages of different SOC models
--Tips for leveraging advanced analytics tools
--Best practices for incorporating automation and orchestration
--How to boost incident response capabilities, and measure your efforts
--How the NIST Cybersecurity Framework and CIS Controls can help you establish a strong foundation
Start building your roadmap to a next-generation SOC.
Security O365 Using AI-based Advanced Threat ProtectionBitglass
Office 365 has garnered widespread adoption from enterprises due to its advantages such as ease of deployment, lower TCO, and high scalability. Additionally, it enables end-users to work and collaborate from anywhere and on any device. Although Office 365 enables IT to shift the burden for app and infrastructure to the cloud vendor, data security remains the responsibility of the enterprise. Given the limitations of native malware protection on Office 365, should the enterprise rely on Office 365 to protect their data from malware and ransomware?
Join Bitglass and Cylance for a discussion on malware protection solutions for Office 365. We will cover the limitations of native Office 365 malware protection as well as the benefits of AI and machine learning based approaches. We will wrap up the session by discussing how CASBs, with Advanced Threat Protection (ATP) capabilities, are uniquely positioned to protect cloud apps and end-points from malware attacks and proliferation.
The document discusses how security operations centers are adopting machine learning and artificial intelligence technologies to automate cybersecurity tasks like detecting threats, analyzing vast amounts of data, and responding quickly to incidents. It provides examples of how Oracle's cloud-based cybersecurity applications incorporate machine learning algorithms to continuously learn normal behavior, detect anomalies, and automate responses. The document advocates for adopting an intelligent, adaptive security framework that relies on AI and machine learning rather than static rules to manage hybrid cloud environments.
This document provides an overview of malware topics that will be covered in a 4-week lecture series. It defines malware and describes common types including viruses, worms, trojans, ransomware, bots/botnets, adware, spyware, rootkits, and fileless malware. It explains how malware spreads and signs of infection. Methods of malware analysis, detection techniques, and creating a safe analysis environment are outlined. Potential malware sources and 5 cyber threat trends for 2022 are also summarized. The document concludes with 5 case studies examining real-world incidents involving supply chain attacks, account takeovers, out-of-hours attacks, lower barriers to entry for criminals, and new ransomware approaches.
The intelligence lifecycle entails transforming raw data into final intelligence for decision-making. Deconstruct this domain to boost your organization's cyber defenses.
Malware Detection By Machine Learning Presentation.pptxalishapatidar2021
This document presents information on malware detection using machine learning. It defines malware and describes common types like viruses, adware, ransomware, rootkits, and spyware. It also outlines malware detection methods and symptoms. Machine learning algorithms like decision trees, SVM, random forest, and XGBoost are proposed for detection. Existing systems apply techniques like malware behavior analysis, classification, and neural networks. The document concludes machine learning can accurately detect malware and help overcome drawbacks of previous systems.
Threat intelligence provides information across a wide range of sources to assist associations with safeguarding their resources by working with a designated network safety procedure. Call Us: +1 (978)-923-0040
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Simultaneously detects positive and negative ions using a single detector COST EFFECTIVE Folding monitor screen automatically shuts off backlight to extend life of display. New long life positive ion dopant reduces cost of operation and maintenance.
SPECTRUM 4-COLOR IMAGING920CX now can exhibit images in the Classic 4-color and the new proprietary Spectrum 4-color (SP4) option providing a superior image, allowing improved security by quick and accurate identification of threats and increase in throughput.
The new 920Ci is an ultra-compact 620mm x 420mm tunnel X-ray security screening system with superb image quality for high treat checkpoint locations including event security, prisons and government buildings.
The CONPASS DV Xray scanning detector is designed to meet the highest standards of security requirements in the world today. The footprint of the CONPASS DV allows for more possibilities in security systems jails, airports, railway stations and security checkpoints. The CONPASS DV can detector these items listed below.
$249.95 Simple to operate, the CSI 250 features unparalleled performance for budget-minded departments and agencies. This advanced metal detector features a Target ID Legend designed to identify commonly sought targets in crime scene investigations.
Smelling Trouble How Explosive & Narcotic Trace Detectors Sniff Out Danger.pdfSecurityDetectionSol
Explosive & Narcotic Trace Detectors provide invaluable Investigative powers to security teams. As technology advances, they are only getting more precise at sniffing out microscopic clues.
Walk Through Metal Detectors Your Ultimate Weapon in the Fight Against Unauth...SecurityDetectionSol
Walk Through Detector are advanced security devices that have proven to be a formidable tool in combatting unauthorized access, providing a robust mechanism for screening individuals and identifying potential threats. Whether it’s crowded transportation hubs or bustling shopping malls, these scanners serve as a vital line of defense, reinforcing security protocols and deterring the entry of prohibited items.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
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However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
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In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
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Dr. Sean Tan, Head of Data Science, Changi Airport Group
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
The Pros and Cons of Different Security Detection Technologies.pdf
1. The Pros and Cons of Different
Security Detection Technologies
With cyber threats growing in scale and sophistication daily, adequate security
detection has become paramount for organizations to protect their critical
systems and sensitive data. However, with a dizzying array of solutions available,
choosing the right mix can be challenging.
In this blog, we provide an overview of leading Security Detection Solutions and
technologies and discuss their relative advantages to help inform organizations’
decisions. Specifically, we will compare signature-based detection, heuristic-
based detection, sandboxing, deception technology, user and entity behavior
analytics (UEBA), and security information and event management (SIEM).
Signature-Based Detection
Signature-based detection, also known as pattern matching, relies on dictionaries
of known attack patterns and malware signatures to spot threats. Signatures are
based on features like specific sequences of code or instructions that
characterize malicious code.
2. Pros:
▪ Rapid detection of known threats: Signatures can quickly and accurately detect
the presence of threats once identified, enabling faster response.
▪ Low false positive rate: Precise signature match means fewer false alerts.
▪ Easy integration and low maintenance: Signature dictionaries auto-update and
integration is straightforward.
Cons:
▪ Unable to detect zero-day or polymorphic threats: Fails to spot newly released
malware with no available signature.
▪ Large signature database causes latency: Can slow down systems and cause
performance issues.
▪ Manual signature creation delays detection: Developing signatures is complex
and causes detection delays.
Heuristic-Based Security Detection Solutions
Heuristic techniques detect malware by analyzing code for suspicious
instructions sequences or attributes that suggest malicious intent or function
without having specific signatures present.
Pros:
▪ Detects zero-day and polymorphic malware: Can uncover new threats with no
footprint
▪ Lightweight: Less resource-intensive compared to other systems
▪ Customizable analysis to improve accuracy: Heuristics can be tailored to
environment
Cons:
▪ Prone to false positives: Suspicious attributes occur in benign code causing
incorrect flags
▪ Evasion due to programming techniques: Malware writers use tricks to avoid
heuristic discovery
3. ▪ Frequent updates required as new techniques emerge: Can be resource and
cost intensive
Deception Technology
The deception-based approach involves creation of fakes or decoys of systems,
applications, and data that appear tantalizing to attackers. The goal is to divert
the attention of malware and lure adversaries into engaging with traps which are
instrumented to detect malicious activity.
Pros:
▪ Discovers threats with high fidelity: Very low false positive rates once deception
assets are engaged
▪ Detects automated and manual attacks: Can uncover both malware infections
as well as hands-on intrusions
▪ Cost-effective: Comparatively inexpensive to deploy extensive decoys across
flat networks
Cons:
▪ Impact limited to network perimeter: Decoys may not detect insider threats or
lateral movement
▪ Security gaps if not comprehensively deployed: Attackers may avoid traps if
insufficiently covered
User and Entity Behavior Analytics
UEBA solutions apply machine learning and statistical modeling on system and
user data to derive expected patterns of activity and abnormalities that signify
threats. By analyzing contextual attributes of entities – users, devices,
applications etc. – they can uncover malicious activities.
Pros:
▪ Detects known and unknown attack methods: Spot anomalies indicative of
emerging threat tactics
4. ▪ Applicable for insider and external threats: Flags abnormal user behavior
suggestive of compromise
▪ Automated threat scoring: Alert triage and prioritization eases security
operations
Cons:
▪ Large historical data needed: Minimum 6-12 months data required for accurate
baseline profiles
▪ Difficult to configure and maintain: Significant resources needed for tuning to
reduce false alarms
Security Information and Event Management
SIEM platforms ingest and correlate event data from multiple sources to discover
threats and enable incident response. Advanced SIEMs use machine learning to
baseline activity patterns and highlight anomalies.
Pros:
• Holistic security monitoring: Collects, normalizes and analyzes data from
diverse systems and apps
• Security detection solution with accelerated investigation : Automated alert
correlation provides context to evaluate severity
• Flexible integration capabilities: Integrates well with other security tools via
APIs
Cons:
• Complex deployment and management overhead: Tuning rules and
sources challenging
• Resource intensive storage and processing: Scaling clustered systems has
significant costs
• Overwhelming alerts: Fatigue due to vast amounts of notifications hinders
response
Choose the Right Security Detection Solution for Your Organization
In conclusion, while no security solution completely eliminates risk, combining
multiple detection capabilities across the cyber kill chain can greatly enhance
defenses against advanced threats. Signature-based tools offer rapid protection
against known threats while deception technology and UEBA help uncover novel
5. attacks. Heuristics provide a lightweight option to catch emerging malware
strains.
Organizations should evaluate their budget, resident expertise, compliance
needs and attack surface before designing security operations spanning people,
processes and solutions tailored to mitigate salient risks.
With detection capabilities spanning the IT stack – endpoints, network, cloud,
identities and critical data stores – vigilant security teams can detect stealthy
attacks at multiple stages and quickly contain damages through coordinated
incident response. As threats continue to evolve in complexity, leveraging AI and
ML driven security analytics will be key for timely detection and informed decision
making.
For help with architecting layered detection safeguards aligned to your risk
profile, contact our experts at Security Detection Solutions. We help individuals,
businesses, and event organizers with reliable solutions including arena security
screening, explosive trace detectors, inspection trays, handheld and walk-
through Metal Detector Notice Sign and more. Call us today to schedule a
consultation!
Visit Our Website:
Security Detection Solutions