SlideShare a Scribd company logo
1 of 18
Download to read offline
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
PARADIGM SHIFT IN INFORMATION SECURITY AND PRIVACY
WITH ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Dragan Pleskonjic
Predict – Prepare – Prevent – Detect
1
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
INPRESEC INITIATOR / FOUNDER
• Rich experience in creating and managing start-ups, new businesses development
• Leading management positions in international corporations
• Expertise in information security, computer software and networks industry
• Prolific academic career:
Adjunct Professorship, authorship of books, scientific papers and journals’ articles
• Scientific and security leader, researcher, advisor, architect
• Inventor with a set of U.S. patents granted and several patent applications pending (USPTO,
CIPO, EPO, WIPO)
• Entrepreneur, leader, motivator, visionary
Dragan Pleskonjic
2
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• Number of security breaches is rapidly increasing
• Organizations are not able to cope with all of threats, attacks and risks any more:
– significant amount of manual work
– lack of focus and concentration leading to errors
– lack of skilled professionals and tools
– increasing cost
• There is no true predictive approach on the market!
The Problem
3
Issues grow fast
Solutions grow but slow
Time
Security “debt”
growth over time
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.4
Middle Age Security: Computer Fortress
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.5
Shift the Paradigm and Defense in Depth
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
Our Approach
• INPRESEC’s
INTELLIGENT PREDICTIVE SECURITY
• CHALLENGES WE ARE ADDRESSING
Classification
Prediction
6
Σ
Artificial Intelligence
Machine Learning
Predictive Analytics
Big Data
Threat Intelligence
BETTER INFORMATION SECURITY
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• Classification of events ALLOWED/NOT ALLOWED
Action based on the result
• Common Platform & modules for:
– Intrusion
– Data Leak
– Fraud
– Malware
– Malfunction
– …
• Prediction
• Solution components:
SENSOR, AGENT, TRAINER
SERVER, ADMIN,
PREDICTION MODULE
• Deployment:
– Service model: Security as
an INPRESEC hosted and
managed service
– Product model: hosted by
client, serviced by us
7
Our Solution
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
Key INPRESEC Solution Elements
8
INPRESEC SENSOR
• Software, can be appliance analyses network
traffic & possible security violations, classification
based on Machine Learning (ML) - network-based
system
INPRESEC AGENT
• Software installed on a computer (server, desktop, laptop),
mobile device (smart phone, tablet etc.) or network
devices (routers, firewalls, etc.), classification based on ML
– host based system
INPRESEC SERVER
• Software - integrates functions of sensors & agents
• Collects data from Sensors & Agents, analysis,
classifying, learning & correlation and actions, based on
ML
• Can be linked to SOC / CERT centers or to other security
elements (AV, DLP, SIEM,...)
INPRESEC ADMIN
• Dashboard, Configuration Console, Management,
Monitoring & Reporting Tools.
• Sends alerts or other info through various communication
means
INPRESEC TRAINER
• Software – training system based on ML
INPRESEC PREDICTION MODULE
• Software – data feed with probabilities of security
events in future,
• Prediction based on various data sources, Threat
Intelligence (TI), predictive analytics and ML
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
Possible Network Layout
9
Computers with
Agents
Firewall
Devices with
Agents
Router
Dashboard /
Admin Panel
INPRESEC Server
Local
INPRESEC
Server
Sensor 1 Sensor 2
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• „Security analyst in the loop“ concept
– Supervised learning – solution becomes more and more clever during time and requires less
human intervention
• Decrease grey area during time, eventually to reach A = B
• Team focuses and more innovative and interesting work
Machine Learning -> Increased Efficiency
10
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
INPRESEC Architecture
INPRESEC Platform
intrusion
data
leak
fraud malfunction …
alertchannels
sensors,agentsand
otherproductsintegration
admin panels
Various approaches, methodologies and tools
Machine Learning
•Artificial Neural Networks (ANN)
•Support Vector Machines (SVM)
•Other machine learning
algorithms (various)
Fuzzy logic
Predictive
Analytics
Threat
Intelligence Big Data …
monitored events
11
malware
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• Component based on machine
learning (ML) and artificial intelligence.
• Using various parameters and input
data from set of internal and external
sources, it analyses them and, through
set of our proprietary algorithms, gives
probabilities of possible threats and
attacks.
• These data will be later distributed
as input to our system and help to
set alert levels, thresholds,
prevention measures etc.
• Data feeds for INPRESEC but also
other systems
12
INPRESEC Prediction Module
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• Various IDS/IPS data sets and test vectors available on Internet
• Created by us from:
– Testing environments
– Real environments
• Created by us – dataset generation scripts:
– “clean” ones i.e. regular, no intrusions or other issues
– With anomalies, attack, intrusions, data leaks, malware and similar
malfunctions
Datasets – how to obtain/create
13
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• Supervised - assisted
• Unsupervised
• Principal Component Analysis (PCA)
Machine Learning
14
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• Symbolists view learning as the inverse of deduction and take ideas from philosophy,
psychology, and logic.
• Connectionists reverse engineer the brain and are inspired by neuroscience and physics.
• Evolutionaries simulate evolution on the computer and draw on genetics and evolutionary
biology.
• Bayesians believe learning is a form of probabilistic inference and have their roots in
statistics.
• Analogizers learn by extrapolating from similarity judgments and are influenced by
psychology and mathematical optimization.
• What we really want is a single algorithm combining the key features of all of them: the
ultimate master algorithm.
• Source: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, Pedro Domingos
Rival schools of thought within machine learning
15
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• Keras: The Python Deep Learning library
– TensorFlow - An open-source software library for Machine Intelligence
– Theano - Python library that allows you to define, optimize, and evaluate mathematical
expressions involving multi-dimensional arrays efficiently.
• scikit-learn - Machine Learning in Python
• Matlab - Statistics and Machine Learning Toolbox
• Weka - Collection of machine learning algorithms for data mining tasks.
• NeuroSolutions - Neural Network Software
• Apache Mahout™ - Scalable machine learning and data mining
• Appache Spark™ Machine Learning Library (MLlib) - scalable machine learning library
consisting of common learning algorithms and utilities, including classification, regression,
clustering, collaborative filtering, dimensionality reduction, as well as underlying
optimization primitives
• …
Machine Learning Tools
16
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
DEMO
17
Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.
• Contact:
Dragan Pleskonjic, INPRESEC Initiator and Founder
▪ dragan@conwex.org
▪ Personal web site: www.dragan-pleskonjic.com
▪ LinkedIn profile: https://www.linkedin.com/in/draganpleskonjic/
Thank you
18

More Related Content

What's hot

Artificial Intelligence – Time Bomb or The Promised Land?
Artificial Intelligence – Time Bomb or The Promised Land?Artificial Intelligence – Time Bomb or The Promised Land?
Artificial Intelligence – Time Bomb or The Promised Land?Raffael Marty
 
Cyber Threat Hunting with Phirelight
Cyber Threat Hunting with PhirelightCyber Threat Hunting with Phirelight
Cyber Threat Hunting with PhirelightHostway|HOSTING
 
IANS Forum Dallas - Technology Spotlight Session
IANS Forum Dallas - Technology Spotlight SessionIANS Forum Dallas - Technology Spotlight Session
IANS Forum Dallas - Technology Spotlight SessionInterset
 
Telesoft Cyber Threat Hunting Infographic
Telesoft Cyber Threat Hunting InfographicTelesoft Cyber Threat Hunting Infographic
Telesoft Cyber Threat Hunting InfographicSarah Chandley
 
Threat Hunting 101: Intro to Threat Detection and Incident Response
Threat Hunting 101: Intro to Threat Detection and Incident ResponseThreat Hunting 101: Intro to Threat Detection and Incident Response
Threat Hunting 101: Intro to Threat Detection and Incident ResponseInfocyte
 
IANS Forum Charlotte: Operationalizing Big Data Security [Tech Spotlight]
IANS Forum Charlotte: Operationalizing Big Data Security [Tech Spotlight]IANS Forum Charlotte: Operationalizing Big Data Security [Tech Spotlight]
IANS Forum Charlotte: Operationalizing Big Data Security [Tech Spotlight]Interset
 
Delivering Security Insights with Data Analytics and Visualization
Delivering Security Insights with Data Analytics and VisualizationDelivering Security Insights with Data Analytics and Visualization
Delivering Security Insights with Data Analytics and VisualizationRaffael Marty
 
Machine Learning + AI for Accelerated Threat-Hunting
Machine Learning + AI for Accelerated Threat-HuntingMachine Learning + AI for Accelerated Threat-Hunting
Machine Learning + AI for Accelerated Threat-HuntingInterset
 
Operationalizing Big Data Security Analytics - IANS Forum Dallas
Operationalizing Big Data Security Analytics - IANS Forum DallasOperationalizing Big Data Security Analytics - IANS Forum Dallas
Operationalizing Big Data Security Analytics - IANS Forum DallasInterset
 
Bsides 2019 - Intelligent Threat Hunting
Bsides 2019 - Intelligent Threat HuntingBsides 2019 - Intelligent Threat Hunting
Bsides 2019 - Intelligent Threat HuntingDhruv Majumdar
 
What is Threat Hunting? - Panda Security
What is Threat Hunting? - Panda SecurityWhat is Threat Hunting? - Panda Security
What is Threat Hunting? - Panda SecurityPanda Security
 
Best Practices for Scoping Infections and Disrupting Breaches
Best Practices for Scoping Infections and Disrupting BreachesBest Practices for Scoping Infections and Disrupting Breaches
Best Practices for Scoping Infections and Disrupting BreachesSplunk
 
How is ai important to the future of cyber security
How is ai important to the future of cyber security How is ai important to the future of cyber security
How is ai important to the future of cyber security Robert Smith
 
AI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't Changed
AI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't ChangedAI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't Changed
AI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't ChangedRaffael Marty
 
Cybersecurity with AI - Ashrith Barthur
Cybersecurity with AI - Ashrith BarthurCybersecurity with AI - Ashrith Barthur
Cybersecurity with AI - Ashrith BarthurSri Ambati
 
UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...
UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...
UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...APNIC
 
DLP Systems: Models, Architecture and Algorithms
DLP Systems: Models, Architecture and AlgorithmsDLP Systems: Models, Architecture and Algorithms
DLP Systems: Models, Architecture and AlgorithmsLiwei Ren任力偉
 
User and Entity Behavioral Analytics
User and Entity Behavioral AnalyticsUser and Entity Behavioral Analytics
User and Entity Behavioral AnalyticsInterset
 
The Value of Crowd-Sourced Threat Intelligence
The Value of Crowd-Sourced Threat IntelligenceThe Value of Crowd-Sourced Threat Intelligence
The Value of Crowd-Sourced Threat IntelligenceImperva
 

What's hot (20)

Artificial Intelligence – Time Bomb or The Promised Land?
Artificial Intelligence – Time Bomb or The Promised Land?Artificial Intelligence – Time Bomb or The Promised Land?
Artificial Intelligence – Time Bomb or The Promised Land?
 
Cyber Threat Hunting with Phirelight
Cyber Threat Hunting with PhirelightCyber Threat Hunting with Phirelight
Cyber Threat Hunting with Phirelight
 
IANS Forum Dallas - Technology Spotlight Session
IANS Forum Dallas - Technology Spotlight SessionIANS Forum Dallas - Technology Spotlight Session
IANS Forum Dallas - Technology Spotlight Session
 
Telesoft Cyber Threat Hunting Infographic
Telesoft Cyber Threat Hunting InfographicTelesoft Cyber Threat Hunting Infographic
Telesoft Cyber Threat Hunting Infographic
 
Threat Hunting 101: Intro to Threat Detection and Incident Response
Threat Hunting 101: Intro to Threat Detection and Incident ResponseThreat Hunting 101: Intro to Threat Detection and Incident Response
Threat Hunting 101: Intro to Threat Detection and Incident Response
 
IANS Forum Charlotte: Operationalizing Big Data Security [Tech Spotlight]
IANS Forum Charlotte: Operationalizing Big Data Security [Tech Spotlight]IANS Forum Charlotte: Operationalizing Big Data Security [Tech Spotlight]
IANS Forum Charlotte: Operationalizing Big Data Security [Tech Spotlight]
 
Delivering Security Insights with Data Analytics and Visualization
Delivering Security Insights with Data Analytics and VisualizationDelivering Security Insights with Data Analytics and Visualization
Delivering Security Insights with Data Analytics and Visualization
 
Machine Learning + AI for Accelerated Threat-Hunting
Machine Learning + AI for Accelerated Threat-HuntingMachine Learning + AI for Accelerated Threat-Hunting
Machine Learning + AI for Accelerated Threat-Hunting
 
Operationalizing Big Data Security Analytics - IANS Forum Dallas
Operationalizing Big Data Security Analytics - IANS Forum DallasOperationalizing Big Data Security Analytics - IANS Forum Dallas
Operationalizing Big Data Security Analytics - IANS Forum Dallas
 
Bsides 2019 - Intelligent Threat Hunting
Bsides 2019 - Intelligent Threat HuntingBsides 2019 - Intelligent Threat Hunting
Bsides 2019 - Intelligent Threat Hunting
 
Security Chat 5.0
Security Chat 5.0Security Chat 5.0
Security Chat 5.0
 
What is Threat Hunting? - Panda Security
What is Threat Hunting? - Panda SecurityWhat is Threat Hunting? - Panda Security
What is Threat Hunting? - Panda Security
 
Best Practices for Scoping Infections and Disrupting Breaches
Best Practices for Scoping Infections and Disrupting BreachesBest Practices for Scoping Infections and Disrupting Breaches
Best Practices for Scoping Infections and Disrupting Breaches
 
How is ai important to the future of cyber security
How is ai important to the future of cyber security How is ai important to the future of cyber security
How is ai important to the future of cyber security
 
AI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't Changed
AI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't ChangedAI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't Changed
AI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't Changed
 
Cybersecurity with AI - Ashrith Barthur
Cybersecurity with AI - Ashrith BarthurCybersecurity with AI - Ashrith Barthur
Cybersecurity with AI - Ashrith Barthur
 
UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...
UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...
UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...
 
DLP Systems: Models, Architecture and Algorithms
DLP Systems: Models, Architecture and AlgorithmsDLP Systems: Models, Architecture and Algorithms
DLP Systems: Models, Architecture and Algorithms
 
User and Entity Behavioral Analytics
User and Entity Behavioral AnalyticsUser and Entity Behavioral Analytics
User and Entity Behavioral Analytics
 
The Value of Crowd-Sourced Threat Intelligence
The Value of Crowd-Sourced Threat IntelligenceThe Value of Crowd-Sourced Threat Intelligence
The Value of Crowd-Sourced Threat Intelligence
 

Similar to Developers’ mDay 2017. - Dragan Pleskonjić, Adjunct Professor

Virtual Gov Day - Security Breakout - Deloitte
Virtual Gov Day - Security Breakout - DeloitteVirtual Gov Day - Security Breakout - Deloitte
Virtual Gov Day - Security Breakout - DeloitteSplunk
 
ASEAN-JAPAN Cyber Security Seminar: How to fill your team gaps with training
ASEAN-JAPAN Cyber Security Seminar: How to fill your team gaps with trainingASEAN-JAPAN Cyber Security Seminar: How to fill your team gaps with training
ASEAN-JAPAN Cyber Security Seminar: How to fill your team gaps with trainingAPNIC
 
Računalna forenzika i automatizirani odgovor na mrežne incidente
Računalna forenzika i automatizirani odgovor na mrežne incidenteRačunalna forenzika i automatizirani odgovor na mrežne incidente
Računalna forenzika i automatizirani odgovor na mrežne incidenteDamir Delija
 
Intelligently Automating Machine Learning, Artificial Intelligence, and Data ...
Intelligently Automating Machine Learning, Artificial Intelligence, and Data ...Intelligently Automating Machine Learning, Artificial Intelligence, and Data ...
Intelligently Automating Machine Learning, Artificial Intelligence, and Data ...Ali Alkan
 
Splunk Threat Hunting Workshop
Splunk Threat Hunting WorkshopSplunk Threat Hunting Workshop
Splunk Threat Hunting WorkshopSplunk
 
Splunk workshop-Threat Hunting
Splunk workshop-Threat HuntingSplunk workshop-Threat Hunting
Splunk workshop-Threat HuntingSplunk
 
AlienVault MSSP Overview - A Different Approach to Security for MSSP's
AlienVault MSSP Overview - A Different Approach to Security for MSSP'sAlienVault MSSP Overview - A Different Approach to Security for MSSP's
AlienVault MSSP Overview - A Different Approach to Security for MSSP'sAlienVault
 
Cyber Resilency VANCOUVER, BC Nov 2017
Cyber Resilency VANCOUVER, BC  Nov 2017  Cyber Resilency VANCOUVER, BC  Nov 2017
Cyber Resilency VANCOUVER, BC Nov 2017 Kevin Murphy
 
Security Breakout Session
Security Breakout Session Security Breakout Session
Security Breakout Session Splunk
 
Effective Security Operation Center - present by Reza Adineh
Effective Security Operation Center - present by Reza AdinehEffective Security Operation Center - present by Reza Adineh
Effective Security Operation Center - present by Reza AdinehReZa AdineH
 
Cyber Defense - How to be prepared to APT
Cyber Defense - How to be prepared to APTCyber Defense - How to be prepared to APT
Cyber Defense - How to be prepared to APTSimone Onofri
 
Privacy for tech startups
Privacy for tech startups Privacy for tech startups
Privacy for tech startups Marc Gallardo
 
How to Use Open Source Technologies in Safety-critical Medical Device Platforms
How to Use Open Source Technologies in Safety-critical Medical Device PlatformsHow to Use Open Source Technologies in Safety-critical Medical Device Platforms
How to Use Open Source Technologies in Safety-critical Medical Device PlatformsShahid Shah
 
Webinar - Feel Secure with revolutionary OTM Solution
Webinar - Feel Secure with revolutionary OTM SolutionWebinar - Feel Secure with revolutionary OTM Solution
Webinar - Feel Secure with revolutionary OTM SolutionJK Tech
 
System Security on Cloud
System Security on CloudSystem Security on Cloud
System Security on CloudTu Pham
 
SplunkLive! Customer Presentation – athenahealth
SplunkLive! Customer Presentation – athenahealthSplunkLive! Customer Presentation – athenahealth
SplunkLive! Customer Presentation – athenahealthStephanie Bies
 
SplunkLive! Customer Presentation – athenahealth
SplunkLive! Customer Presentation – athenahealthSplunkLive! Customer Presentation – athenahealth
SplunkLive! Customer Presentation – athenahealthStephanie Bies
 

Similar to Developers’ mDay 2017. - Dragan Pleskonjić, Adjunct Professor (20)

encase enterprise
 encase enterprise  encase enterprise
encase enterprise
 
Virtual Gov Day - Security Breakout - Deloitte
Virtual Gov Day - Security Breakout - DeloitteVirtual Gov Day - Security Breakout - Deloitte
Virtual Gov Day - Security Breakout - Deloitte
 
ASEAN-JAPAN Cyber Security Seminar: How to fill your team gaps with training
ASEAN-JAPAN Cyber Security Seminar: How to fill your team gaps with trainingASEAN-JAPAN Cyber Security Seminar: How to fill your team gaps with training
ASEAN-JAPAN Cyber Security Seminar: How to fill your team gaps with training
 
Računalna forenzika i automatizirani odgovor na mrežne incidente
Računalna forenzika i automatizirani odgovor na mrežne incidenteRačunalna forenzika i automatizirani odgovor na mrežne incidente
Računalna forenzika i automatizirani odgovor na mrežne incidente
 
Data Science for Cyber Risk
Data Science for Cyber RiskData Science for Cyber Risk
Data Science for Cyber Risk
 
Intelligently Automating Machine Learning, Artificial Intelligence, and Data ...
Intelligently Automating Machine Learning, Artificial Intelligence, and Data ...Intelligently Automating Machine Learning, Artificial Intelligence, and Data ...
Intelligently Automating Machine Learning, Artificial Intelligence, and Data ...
 
Splunk Threat Hunting Workshop
Splunk Threat Hunting WorkshopSplunk Threat Hunting Workshop
Splunk Threat Hunting Workshop
 
Splunk workshop-Threat Hunting
Splunk workshop-Threat HuntingSplunk workshop-Threat Hunting
Splunk workshop-Threat Hunting
 
AlienVault MSSP Overview - A Different Approach to Security for MSSP's
AlienVault MSSP Overview - A Different Approach to Security for MSSP'sAlienVault MSSP Overview - A Different Approach to Security for MSSP's
AlienVault MSSP Overview - A Different Approach to Security for MSSP's
 
Cyber Resilency VANCOUVER, BC Nov 2017
Cyber Resilency VANCOUVER, BC  Nov 2017  Cyber Resilency VANCOUVER, BC  Nov 2017
Cyber Resilency VANCOUVER, BC Nov 2017
 
Security Breakout Session
Security Breakout Session Security Breakout Session
Security Breakout Session
 
Effective Security Operation Center - present by Reza Adineh
Effective Security Operation Center - present by Reza AdinehEffective Security Operation Center - present by Reza Adineh
Effective Security Operation Center - present by Reza Adineh
 
Cyber Defense - How to be prepared to APT
Cyber Defense - How to be prepared to APTCyber Defense - How to be prepared to APT
Cyber Defense - How to be prepared to APT
 
CYBER SECURITY.pdf
CYBER SECURITY.pdfCYBER SECURITY.pdf
CYBER SECURITY.pdf
 
Privacy for tech startups
Privacy for tech startups Privacy for tech startups
Privacy for tech startups
 
How to Use Open Source Technologies in Safety-critical Medical Device Platforms
How to Use Open Source Technologies in Safety-critical Medical Device PlatformsHow to Use Open Source Technologies in Safety-critical Medical Device Platforms
How to Use Open Source Technologies in Safety-critical Medical Device Platforms
 
Webinar - Feel Secure with revolutionary OTM Solution
Webinar - Feel Secure with revolutionary OTM SolutionWebinar - Feel Secure with revolutionary OTM Solution
Webinar - Feel Secure with revolutionary OTM Solution
 
System Security on Cloud
System Security on CloudSystem Security on Cloud
System Security on Cloud
 
SplunkLive! Customer Presentation – athenahealth
SplunkLive! Customer Presentation – athenahealthSplunkLive! Customer Presentation – athenahealth
SplunkLive! Customer Presentation – athenahealth
 
SplunkLive! Customer Presentation – athenahealth
SplunkLive! Customer Presentation – athenahealthSplunkLive! Customer Presentation – athenahealth
SplunkLive! Customer Presentation – athenahealth
 

More from mCloud

Developers’ mDay 2021: Robert Juhas, SimpleTask – Should I run my own blockc...
Developers’ mDay 2021: Robert Juhas, SimpleTask –  Should I run my own blockc...Developers’ mDay 2021: Robert Juhas, SimpleTask –  Should I run my own blockc...
Developers’ mDay 2021: Robert Juhas, SimpleTask – Should I run my own blockc...mCloud
 
Developers’ mDay 2021: Andrea Bjelogrlić, Sysbee – Tips, tricks and debugging...
Developers’ mDay 2021: Andrea Bjelogrlić, Sysbee – Tips, tricks and debugging...Developers’ mDay 2021: Andrea Bjelogrlić, Sysbee – Tips, tricks and debugging...
Developers’ mDay 2021: Andrea Bjelogrlić, Sysbee – Tips, tricks and debugging...mCloud
 
Developers’ mDay 2021: Goran Kunjadić, Cyber security, cryptography and DPO e...
Developers’ mDay 2021: Goran Kunjadić, Cyber security, cryptography and DPO e...Developers’ mDay 2021: Goran Kunjadić, Cyber security, cryptography and DPO e...
Developers’ mDay 2021: Goran Kunjadić, Cyber security, cryptography and DPO e...mCloud
 
Developers’ mDay 2021: Igor Spasić, Oblac – Jodd, jedna open-source priča
Developers’ mDay 2021: Igor Spasić, Oblac – Jodd, jedna open-source pričaDevelopers’ mDay 2021: Igor Spasić, Oblac – Jodd, jedna open-source priča
Developers’ mDay 2021: Igor Spasić, Oblac – Jodd, jedna open-source pričamCloud
 
Developers’ mDay 2021: Mladen Janjetović, Laravel Srbija – Laravel Awesome
Developers’ mDay 2021: Mladen Janjetović, Laravel Srbija – Laravel AwesomeDevelopers’ mDay 2021: Mladen Janjetović, Laravel Srbija – Laravel Awesome
Developers’ mDay 2021: Mladen Janjetović, Laravel Srbija – Laravel AwesomemCloud
 
Developers’ mDay 2021: Nikola Krgović, Twin Star Systems – CentOS i šta dalje
Developers’ mDay 2021: Nikola Krgović, Twin Star Systems – CentOS i šta daljeDevelopers’ mDay 2021: Nikola Krgović, Twin Star Systems – CentOS i šta dalje
Developers’ mDay 2021: Nikola Krgović, Twin Star Systems – CentOS i šta daljemCloud
 
Developers’ mDay 2021: Nebojša Kamber, Infostud – SQL vs noSQL
Developers’ mDay 2021: Nebojša Kamber, Infostud – SQL vs noSQLDevelopers’ mDay 2021: Nebojša Kamber, Infostud – SQL vs noSQL
Developers’ mDay 2021: Nebojša Kamber, Infostud – SQL vs noSQLmCloud
 
Developers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sad
Developers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sadDevelopers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sad
Developers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sadmCloud
 
Developers’ mDay 2021: Jelena Opačić, mCloud – Dobrodošlica
Developers’ mDay 2021: Jelena Opačić, mCloud – DobrodošlicaDevelopers’ mDay 2021: Jelena Opačić, mCloud – Dobrodošlica
Developers’ mDay 2021: Jelena Opačić, mCloud – DobrodošlicamCloud
 
Developers’ mDay 2019. - Zvonimir Gembec, Sysbee – Developers vs Sysadmins – ...
Developers’ mDay 2019. - Zvonimir Gembec, Sysbee – Developers vs Sysadmins – ...Developers’ mDay 2019. - Zvonimir Gembec, Sysbee – Developers vs Sysadmins – ...
Developers’ mDay 2019. - Zvonimir Gembec, Sysbee – Developers vs Sysadmins – ...mCloud
 
Developers’ mDay 2019. - Dijana Milutinović, RNIDS – Kako se kalio domen
Developers’ mDay 2019. -  Dijana Milutinović, RNIDS – Kako se kalio domenDevelopers’ mDay 2019. -  Dijana Milutinović, RNIDS – Kako se kalio domen
Developers’ mDay 2019. - Dijana Milutinović, RNIDS – Kako se kalio domenmCloud
 
Developers’ mDay 2019. - Bogdan Kecman, Oracle – MySQL 8.0 – why upgrade
Developers’ mDay 2019. - Bogdan Kecman, Oracle – MySQL 8.0 – why upgradeDevelopers’ mDay 2019. - Bogdan Kecman, Oracle – MySQL 8.0 – why upgrade
Developers’ mDay 2019. - Bogdan Kecman, Oracle – MySQL 8.0 – why upgrademCloud
 
Developers’ mDay 2019. - Rastko Vasiljević, SuperAdmins – Infrastructure as c...
Developers’ mDay 2019. - Rastko Vasiljević, SuperAdmins – Infrastructure as c...Developers’ mDay 2019. - Rastko Vasiljević, SuperAdmins – Infrastructure as c...
Developers’ mDay 2019. - Rastko Vasiljević, SuperAdmins – Infrastructure as c...mCloud
 
Developers’ mDay 2019. - Dejan Bosanac, Red Hat – Cloud scale IoT connectivity
Developers’ mDay 2019. - Dejan Bosanac, Red Hat – Cloud scale IoT connectivityDevelopers’ mDay 2019. - Dejan Bosanac, Red Hat – Cloud scale IoT connectivity
Developers’ mDay 2019. - Dejan Bosanac, Red Hat – Cloud scale IoT connectivitymCloud
 
Developers’ mDay 2019. - Adrian Smijulj, Webiny – Server-side rendering u Ser...
Developers’ mDay 2019. - Adrian Smijulj, Webiny – Server-side rendering u Ser...Developers’ mDay 2019. - Adrian Smijulj, Webiny – Server-side rendering u Ser...
Developers’ mDay 2019. - Adrian Smijulj, Webiny – Server-side rendering u Ser...mCloud
 
Developers’ mDay 2019. - Nikola Krgović, Twin Star Systems – Big Data for Dev...
Developers’ mDay 2019. - Nikola Krgović, Twin Star Systems – Big Data for Dev...Developers’ mDay 2019. - Nikola Krgović, Twin Star Systems – Big Data for Dev...
Developers’ mDay 2019. - Nikola Krgović, Twin Star Systems – Big Data for Dev...mCloud
 
Developers’ mDay 2019. - Dragutin Ćirković, mCloud – HTTP/3
Developers’ mDay 2019. - Dragutin Ćirković, mCloud – HTTP/3Developers’ mDay 2019. - Dragutin Ćirković, mCloud – HTTP/3
Developers’ mDay 2019. - Dragutin Ćirković, mCloud – HTTP/3mCloud
 
Developers’ mDay u Banjoj Luci - Janko Isidorović, Mainflux – Unified IoT Pl...
Developers’ mDay u Banjoj Luci - Janko Isidorović, Mainflux –  Unified IoT Pl...Developers’ mDay u Banjoj Luci - Janko Isidorović, Mainflux –  Unified IoT Pl...
Developers’ mDay u Banjoj Luci - Janko Isidorović, Mainflux – Unified IoT Pl...mCloud
 
Developers’ mDay u Banjoj Luci - Jelena Opačić, mCloud – Dobrodošlica
Developers’ mDay u Banjoj Luci - Jelena Opačić, mCloud – DobrodošlicaDevelopers’ mDay u Banjoj Luci - Jelena Opačić, mCloud – Dobrodošlica
Developers’ mDay u Banjoj Luci - Jelena Opačić, mCloud – DobrodošlicamCloud
 
Developers’ mDay u Banjoj Luci - Duško Bajić, Kotlin User Group Bosnia – Kotl...
Developers’ mDay u Banjoj Luci - Duško Bajić, Kotlin User Group Bosnia – Kotl...Developers’ mDay u Banjoj Luci - Duško Bajić, Kotlin User Group Bosnia – Kotl...
Developers’ mDay u Banjoj Luci - Duško Bajić, Kotlin User Group Bosnia – Kotl...mCloud
 

More from mCloud (20)

Developers’ mDay 2021: Robert Juhas, SimpleTask – Should I run my own blockc...
Developers’ mDay 2021: Robert Juhas, SimpleTask –  Should I run my own blockc...Developers’ mDay 2021: Robert Juhas, SimpleTask –  Should I run my own blockc...
Developers’ mDay 2021: Robert Juhas, SimpleTask – Should I run my own blockc...
 
Developers’ mDay 2021: Andrea Bjelogrlić, Sysbee – Tips, tricks and debugging...
Developers’ mDay 2021: Andrea Bjelogrlić, Sysbee – Tips, tricks and debugging...Developers’ mDay 2021: Andrea Bjelogrlić, Sysbee – Tips, tricks and debugging...
Developers’ mDay 2021: Andrea Bjelogrlić, Sysbee – Tips, tricks and debugging...
 
Developers’ mDay 2021: Goran Kunjadić, Cyber security, cryptography and DPO e...
Developers’ mDay 2021: Goran Kunjadić, Cyber security, cryptography and DPO e...Developers’ mDay 2021: Goran Kunjadić, Cyber security, cryptography and DPO e...
Developers’ mDay 2021: Goran Kunjadić, Cyber security, cryptography and DPO e...
 
Developers’ mDay 2021: Igor Spasić, Oblac – Jodd, jedna open-source priča
Developers’ mDay 2021: Igor Spasić, Oblac – Jodd, jedna open-source pričaDevelopers’ mDay 2021: Igor Spasić, Oblac – Jodd, jedna open-source priča
Developers’ mDay 2021: Igor Spasić, Oblac – Jodd, jedna open-source priča
 
Developers’ mDay 2021: Mladen Janjetović, Laravel Srbija – Laravel Awesome
Developers’ mDay 2021: Mladen Janjetović, Laravel Srbija – Laravel AwesomeDevelopers’ mDay 2021: Mladen Janjetović, Laravel Srbija – Laravel Awesome
Developers’ mDay 2021: Mladen Janjetović, Laravel Srbija – Laravel Awesome
 
Developers’ mDay 2021: Nikola Krgović, Twin Star Systems – CentOS i šta dalje
Developers’ mDay 2021: Nikola Krgović, Twin Star Systems – CentOS i šta daljeDevelopers’ mDay 2021: Nikola Krgović, Twin Star Systems – CentOS i šta dalje
Developers’ mDay 2021: Nikola Krgović, Twin Star Systems – CentOS i šta dalje
 
Developers’ mDay 2021: Nebojša Kamber, Infostud – SQL vs noSQL
Developers’ mDay 2021: Nebojša Kamber, Infostud – SQL vs noSQLDevelopers’ mDay 2021: Nebojša Kamber, Infostud – SQL vs noSQL
Developers’ mDay 2021: Nebojša Kamber, Infostud – SQL vs noSQL
 
Developers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sad
Developers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sadDevelopers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sad
Developers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sad
 
Developers’ mDay 2021: Jelena Opačić, mCloud – Dobrodošlica
Developers’ mDay 2021: Jelena Opačić, mCloud – DobrodošlicaDevelopers’ mDay 2021: Jelena Opačić, mCloud – Dobrodošlica
Developers’ mDay 2021: Jelena Opačić, mCloud – Dobrodošlica
 
Developers’ mDay 2019. - Zvonimir Gembec, Sysbee – Developers vs Sysadmins – ...
Developers’ mDay 2019. - Zvonimir Gembec, Sysbee – Developers vs Sysadmins – ...Developers’ mDay 2019. - Zvonimir Gembec, Sysbee – Developers vs Sysadmins – ...
Developers’ mDay 2019. - Zvonimir Gembec, Sysbee – Developers vs Sysadmins – ...
 
Developers’ mDay 2019. - Dijana Milutinović, RNIDS – Kako se kalio domen
Developers’ mDay 2019. -  Dijana Milutinović, RNIDS – Kako se kalio domenDevelopers’ mDay 2019. -  Dijana Milutinović, RNIDS – Kako se kalio domen
Developers’ mDay 2019. - Dijana Milutinović, RNIDS – Kako se kalio domen
 
Developers’ mDay 2019. - Bogdan Kecman, Oracle – MySQL 8.0 – why upgrade
Developers’ mDay 2019. - Bogdan Kecman, Oracle – MySQL 8.0 – why upgradeDevelopers’ mDay 2019. - Bogdan Kecman, Oracle – MySQL 8.0 – why upgrade
Developers’ mDay 2019. - Bogdan Kecman, Oracle – MySQL 8.0 – why upgrade
 
Developers’ mDay 2019. - Rastko Vasiljević, SuperAdmins – Infrastructure as c...
Developers’ mDay 2019. - Rastko Vasiljević, SuperAdmins – Infrastructure as c...Developers’ mDay 2019. - Rastko Vasiljević, SuperAdmins – Infrastructure as c...
Developers’ mDay 2019. - Rastko Vasiljević, SuperAdmins – Infrastructure as c...
 
Developers’ mDay 2019. - Dejan Bosanac, Red Hat – Cloud scale IoT connectivity
Developers’ mDay 2019. - Dejan Bosanac, Red Hat – Cloud scale IoT connectivityDevelopers’ mDay 2019. - Dejan Bosanac, Red Hat – Cloud scale IoT connectivity
Developers’ mDay 2019. - Dejan Bosanac, Red Hat – Cloud scale IoT connectivity
 
Developers’ mDay 2019. - Adrian Smijulj, Webiny – Server-side rendering u Ser...
Developers’ mDay 2019. - Adrian Smijulj, Webiny – Server-side rendering u Ser...Developers’ mDay 2019. - Adrian Smijulj, Webiny – Server-side rendering u Ser...
Developers’ mDay 2019. - Adrian Smijulj, Webiny – Server-side rendering u Ser...
 
Developers’ mDay 2019. - Nikola Krgović, Twin Star Systems – Big Data for Dev...
Developers’ mDay 2019. - Nikola Krgović, Twin Star Systems – Big Data for Dev...Developers’ mDay 2019. - Nikola Krgović, Twin Star Systems – Big Data for Dev...
Developers’ mDay 2019. - Nikola Krgović, Twin Star Systems – Big Data for Dev...
 
Developers’ mDay 2019. - Dragutin Ćirković, mCloud – HTTP/3
Developers’ mDay 2019. - Dragutin Ćirković, mCloud – HTTP/3Developers’ mDay 2019. - Dragutin Ćirković, mCloud – HTTP/3
Developers’ mDay 2019. - Dragutin Ćirković, mCloud – HTTP/3
 
Developers’ mDay u Banjoj Luci - Janko Isidorović, Mainflux – Unified IoT Pl...
Developers’ mDay u Banjoj Luci - Janko Isidorović, Mainflux –  Unified IoT Pl...Developers’ mDay u Banjoj Luci - Janko Isidorović, Mainflux –  Unified IoT Pl...
Developers’ mDay u Banjoj Luci - Janko Isidorović, Mainflux – Unified IoT Pl...
 
Developers’ mDay u Banjoj Luci - Jelena Opačić, mCloud – Dobrodošlica
Developers’ mDay u Banjoj Luci - Jelena Opačić, mCloud – DobrodošlicaDevelopers’ mDay u Banjoj Luci - Jelena Opačić, mCloud – Dobrodošlica
Developers’ mDay u Banjoj Luci - Jelena Opačić, mCloud – Dobrodošlica
 
Developers’ mDay u Banjoj Luci - Duško Bajić, Kotlin User Group Bosnia – Kotl...
Developers’ mDay u Banjoj Luci - Duško Bajić, Kotlin User Group Bosnia – Kotl...Developers’ mDay u Banjoj Luci - Duško Bajić, Kotlin User Group Bosnia – Kotl...
Developers’ mDay u Banjoj Luci - Duško Bajić, Kotlin User Group Bosnia – Kotl...
 

Recently uploaded

AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekCzechDreamin
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...FIDO Alliance
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Julian Hyde
 
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfWhere to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfFIDO Alliance
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfSrushith Repakula
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfFIDO Alliance
 
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfSimplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfFIDO Alliance
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessUXDXConf
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsStefano
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераMark Opanasiuk
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyJohn Staveley
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastUXDXConf
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?Mark Billinghurst
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FIDO Alliance
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfFIDO Alliance
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutesconfluent
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfFIDO Alliance
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon
 
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...CzechDreamin
 
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyA Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyUXDXConf
 

Recently uploaded (20)

AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfWhere to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
 
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfSimplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. Startups
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John Staveley
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
 
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
 
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyA Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
 

Developers’ mDay 2017. - Dragan Pleskonjić, Adjunct Professor

  • 1. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. PARADIGM SHIFT IN INFORMATION SECURITY AND PRIVACY WITH ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Dragan Pleskonjic Predict – Prepare – Prevent – Detect 1
  • 2. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. INPRESEC INITIATOR / FOUNDER • Rich experience in creating and managing start-ups, new businesses development • Leading management positions in international corporations • Expertise in information security, computer software and networks industry • Prolific academic career: Adjunct Professorship, authorship of books, scientific papers and journals’ articles • Scientific and security leader, researcher, advisor, architect • Inventor with a set of U.S. patents granted and several patent applications pending (USPTO, CIPO, EPO, WIPO) • Entrepreneur, leader, motivator, visionary Dragan Pleskonjic 2
  • 3. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • Number of security breaches is rapidly increasing • Organizations are not able to cope with all of threats, attacks and risks any more: – significant amount of manual work – lack of focus and concentration leading to errors – lack of skilled professionals and tools – increasing cost • There is no true predictive approach on the market! The Problem 3 Issues grow fast Solutions grow but slow Time Security “debt” growth over time
  • 4. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.4 Middle Age Security: Computer Fortress
  • 5. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential.5 Shift the Paradigm and Defense in Depth
  • 6. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. Our Approach • INPRESEC’s INTELLIGENT PREDICTIVE SECURITY • CHALLENGES WE ARE ADDRESSING Classification Prediction 6 Σ Artificial Intelligence Machine Learning Predictive Analytics Big Data Threat Intelligence BETTER INFORMATION SECURITY
  • 7. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • Classification of events ALLOWED/NOT ALLOWED Action based on the result • Common Platform & modules for: – Intrusion – Data Leak – Fraud – Malware – Malfunction – … • Prediction • Solution components: SENSOR, AGENT, TRAINER SERVER, ADMIN, PREDICTION MODULE • Deployment: – Service model: Security as an INPRESEC hosted and managed service – Product model: hosted by client, serviced by us 7 Our Solution
  • 8. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. Key INPRESEC Solution Elements 8 INPRESEC SENSOR • Software, can be appliance analyses network traffic & possible security violations, classification based on Machine Learning (ML) - network-based system INPRESEC AGENT • Software installed on a computer (server, desktop, laptop), mobile device (smart phone, tablet etc.) or network devices (routers, firewalls, etc.), classification based on ML – host based system INPRESEC SERVER • Software - integrates functions of sensors & agents • Collects data from Sensors & Agents, analysis, classifying, learning & correlation and actions, based on ML • Can be linked to SOC / CERT centers or to other security elements (AV, DLP, SIEM,...) INPRESEC ADMIN • Dashboard, Configuration Console, Management, Monitoring & Reporting Tools. • Sends alerts or other info through various communication means INPRESEC TRAINER • Software – training system based on ML INPRESEC PREDICTION MODULE • Software – data feed with probabilities of security events in future, • Prediction based on various data sources, Threat Intelligence (TI), predictive analytics and ML
  • 9. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. Possible Network Layout 9 Computers with Agents Firewall Devices with Agents Router Dashboard / Admin Panel INPRESEC Server Local INPRESEC Server Sensor 1 Sensor 2
  • 10. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • „Security analyst in the loop“ concept – Supervised learning – solution becomes more and more clever during time and requires less human intervention • Decrease grey area during time, eventually to reach A = B • Team focuses and more innovative and interesting work Machine Learning -> Increased Efficiency 10
  • 11. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. INPRESEC Architecture INPRESEC Platform intrusion data leak fraud malfunction … alertchannels sensors,agentsand otherproductsintegration admin panels Various approaches, methodologies and tools Machine Learning •Artificial Neural Networks (ANN) •Support Vector Machines (SVM) •Other machine learning algorithms (various) Fuzzy logic Predictive Analytics Threat Intelligence Big Data … monitored events 11 malware
  • 12. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • Component based on machine learning (ML) and artificial intelligence. • Using various parameters and input data from set of internal and external sources, it analyses them and, through set of our proprietary algorithms, gives probabilities of possible threats and attacks. • These data will be later distributed as input to our system and help to set alert levels, thresholds, prevention measures etc. • Data feeds for INPRESEC but also other systems 12 INPRESEC Prediction Module
  • 13. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • Various IDS/IPS data sets and test vectors available on Internet • Created by us from: – Testing environments – Real environments • Created by us – dataset generation scripts: – “clean” ones i.e. regular, no intrusions or other issues – With anomalies, attack, intrusions, data leaks, malware and similar malfunctions Datasets – how to obtain/create 13
  • 14. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • Supervised - assisted • Unsupervised • Principal Component Analysis (PCA) Machine Learning 14
  • 15. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • Symbolists view learning as the inverse of deduction and take ideas from philosophy, psychology, and logic. • Connectionists reverse engineer the brain and are inspired by neuroscience and physics. • Evolutionaries simulate evolution on the computer and draw on genetics and evolutionary biology. • Bayesians believe learning is a form of probabilistic inference and have their roots in statistics. • Analogizers learn by extrapolating from similarity judgments and are influenced by psychology and mathematical optimization. • What we really want is a single algorithm combining the key features of all of them: the ultimate master algorithm. • Source: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, Pedro Domingos Rival schools of thought within machine learning 15
  • 16. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • Keras: The Python Deep Learning library – TensorFlow - An open-source software library for Machine Intelligence – Theano - Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. • scikit-learn - Machine Learning in Python • Matlab - Statistics and Machine Learning Toolbox • Weka - Collection of machine learning algorithms for data mining tasks. • NeuroSolutions - Neural Network Software • Apache Mahout™ - Scalable machine learning and data mining • Appache Spark™ Machine Learning Library (MLlib) - scalable machine learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives • … Machine Learning Tools 16
  • 17. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. DEMO 17
  • 18. Copyright © 2015 - 2017 Dragan Pleskonjic, INPRESEC. All rights reserved. Confidential. • Contact: Dragan Pleskonjic, INPRESEC Initiator and Founder ▪ dragan@conwex.org ▪ Personal web site: www.dragan-pleskonjic.com ▪ LinkedIn profile: https://www.linkedin.com/in/draganpleskonjic/ Thank you 18