Understanding the "Intelligence" in AI

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In this presentation Raffael Marty, VP of Research of Intelligence, Forcepoint X-Labs, explores the topic of Artificial Intelligence (AI) in cyber security. What is AI and how do we get to real intelligence in a cyber context? Raffael outlines some of the dangers of the way we are using algorithms (AI, Machine Learning) today and what that leads to. We then explore how we can add real intelligence through export knowledge to the problem of finding attackers and anomalies in our applications and networks. Presented at AI 4 Cybersecurity in NYC on April 30, 2019

Tecnología

Understanding the "Intelligence" in AI
RAFFAEL MARTY
VP Research andIntelligence
Head ofX-Labs, Forcepoint
AI 4 Cyber | April 2019 | New York City

A BRIEF SUMMARY
Wedon’thaveartificialintelligence (yet)
Algorithms canbe dangerous- Understandyourdataandyouralgorithms
Build systemsthatcapture“expertknowledge” andaugmenthumancapabilities
Escapethe catandmousegamebetween attackersandsecurity
Copyright © 2019 Raffael Marty. | 2

RAFFAEL MARTY
Sophos
PixlCloud
Loggly
Splunk
ArcSight
IBM Research
Security Visualization
Big Data
ML& AI
SIEM
CorpStrategy
Leadership
Zen
Copyright © 2019 Raffael Marty | 3

BEAT WORLD
CHAMPION AT GO
DESIGN MORE
EFFECTIVE DRUGS
MAKE SIRI
SMARTER
ARTIFICIALINTELLIGENCE
Deep
Learning
Statistics
UnsupervisedMachine
Learning
Natural
Language
Processing

THE DANGERS OF AI SECURITYEXAMPLES
FoolingFacialRecognition
HackCrashTweet
Blacklistingof
WindowsExecutable
PentagonAIFail
AlgorithmBias
NOTIFY_SOCKET=/run/systemd/notify
systemd-notify""
DataBiases

WHAT MAKES ALGORITHMS DANGEROUS?
Algorithms makeassumptionsaboutthedata.
Algorithms aretooeasytouse.
Algorithms donottakedomainknowledgeintoaccount.
Historyis notapredictorofthe future.
Copyright © 2019 Raffael Marty. | 6

UNDERSTAND YOUR DATA
dest port!
Port 70000?
src ports!
http://vis.pku.edu.cn/people/simingchen/docs/vastchallenge13-mc3.pdf

CHOOSING THE CORRECT ALGORITHM PARAMETERS
The dangers of not understanding algorithmic parameters
t-SNE clustering of network traffic from two types of machines
perplexity = 3
epsilon = 3
No clear separation
perplexity = 3
epsilon = 19
3 clusters instead of 2
perplexity = 93
epsilon = 19
What a mess
Copyright © 2019 Raffael Marty. | 8

INTELLIGENCE ExpertKnowledgeSecurityGraph
DETECTIONCOMPONENTS
RISK-ADAPTIVEPROTECTION
ADDING THE INTELLIGENCE INTO AI
CYBERBEHAVIOR CATALOG

IOCs to
Behaviors
IOCs / Traditional Threat Intel Behavior
ESCAPINGTHE SECURITYCATAND MOUSEGAME
CnC
Bot
Bot
IOC: Compromised IP addresses
• Characterizing machine and human behavior
• Leverage risk-based approaches
• From reactive to proactive
• From detection to protection / automation
Behavior: Botnet characteristics
Traffic size: 200-350bytes
Periodicity: 2 minutes
Jitter: 12 seconds
IPv4 proto: 6
App protocol: HTTPS

TAKEAWAYS
“Algorithmsaregetting ‘smarter’,
butexpertsaremoreimportant”
“Understandyourdata,youralgorithms,andyourdatascience
process”
“Historyisnotapredictor
–butknowledgecanbe”

@raffaelmarty
QUESTIONS?
Copyright © 2019 Raffael Marty. | 13

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Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

Orbitshub

Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Victor Rentea

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Rustici Software

Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

apidays

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

Exploring Multimodal Embeddings with Milvus

Zilliz

Understanding the "Intelligence" in AI

1. Understanding the "Intelligence" in AI RAFFAEL MARTY VP Research andIntelligence Head ofX-Labs, Forcepoint AI 4 Cyber | April 2019 | New York City

2. A BRIEF SUMMARY Wedon’thaveartificialintelligence (yet) Algorithms canbe dangerous- Understandyourdataandyouralgorithms Build systemsthatcapture“expertknowledge” andaugmenthumancapabilities Escapethe catandmousegamebetween attackersandsecurity Copyright © 2019 Raffael Marty. | 2

4. BEAT WORLD CHAMPION AT GO DESIGN MORE EFFECTIVE DRUGS MAKE SIRI SMARTER ARTIFICIALINTELLIGENCE Deep Learning Statistics UnsupervisedMachine Learning Natural Language Processing

5. THE DANGERS OF AI SECURITYEXAMPLES FoolingFacialRecognition HackCrashTweet Blacklistingof WindowsExecutable PentagonAIFail AlgorithmBias NOTIFY_SOCKET=/run/systemd/notify systemd-notify"" DataBiases

6. WHAT MAKES ALGORITHMS DANGEROUS? Algorithms makeassumptionsaboutthedata. Algorithms aretooeasytouse. Algorithms donottakedomainknowledgeintoaccount. Historyis notapredictorofthe future. Copyright © 2019 Raffael Marty. | 6

7. UNDERSTAND YOUR DATA dest port! Port 70000? src ports! http://vis.pku.edu.cn/people/simingchen/docs/vastchallenge13-mc3.pdf

8. CHOOSING THE CORRECT ALGORITHM PARAMETERS The dangers of not understanding algorithmic parameters t-SNE clustering of network traffic from two types of machines perplexity = 3 epsilon = 3 No clear separation perplexity = 3 epsilon = 19 3 clusters instead of 2 perplexity = 93 epsilon = 19 What a mess Copyright © 2019 Raffael Marty. | 8

9. AUGMENT INTELLIGENCE

10. INTELLIGENCE ExpertKnowledgeSecurityGraph DETECTIONCOMPONENTS RISK-ADAPTIVEPROTECTION ADDING THE INTELLIGENCE INTO AI CYBERBEHAVIOR CATALOG

11. IOCs to Behaviors IOCs / Traditional Threat Intel Behavior ESCAPINGTHE SECURITYCATAND MOUSEGAME CnC Bot Bot IOC: Compromised IP addresses • Characterizing machine and human behavior • Leverage risk-based approaches • From reactive to proactive • From detection to protection / automation Behavior: Botnet characteristics Traffic size: 200-350bytes Periodicity: 2 minutes Jitter: 12 seconds IPv4 proto: 6 App protocol: HTTPS

12. TAKEAWAYS “Algorithmsaregetting ‘smarter’, butexpertsaremoreimportant” “Understandyourdata,youralgorithms,andyourdatascience process” “Historyisnotapredictor –butknowledgecanbe”

Understanding the "Intelligence" in AI

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