Adversarial by Design: AI-Driven Cyber Threats and the Legal Questions They Raise
Duration: 60 Minutes
15 Days Left To REGISTER
Id: 213371
Eran Kahana
Overview
This seminar explores the legal implications of sophisticated, AI-enabled cyberattacks-liability, incident response, and regulatory disclosure. It traces the evolution of AI-driven threats, from automated vulnerability discovery and AI-generated social engineering to adversarial machine learning such as data poisoning and model evasion.
It analyzes liability through the Computer Fraud and Abuse Act as applied to autonomous agents, together with negligence and breach-of-contract claims arising from AI-facilitated breaches. The program then details incident-response and disclosure obligations-SEC cybersecurity rules and Form 8-K materiality, and state breach-notification laws-before turning to defensive AI and the legal risks of active defense and 'hack-back' strategies.
Why you should Attend
When an AI system is the threat actor, familiar questions become hard: who is liable, what must be disclosed, and how quickly? Boards face SEC materiality determinations on incidents they can barely characterize, while 'hack-back' defenses invite their own legal peril. This session maps the liability, incident-response, and disclosure landscape for AI-enabled attacks so you are not improvising the law during a breach.
Areas Covered in the Session
- The evolution of AI-driven cyber threats: automated vulnerability discovery and exploitation
- AI-generated phishing, social engineering, and deepfakes
- Adversarial machine learning: data poisoning and model evasion attacks
- The Computer Fraud and Abuse Act (CFAA) applied to autonomous AI agents
- Negligence and breach-of-contract claims arising from AI-facilitated breaches
- Allocating liability when an AI system acts as the threat actor
- SEC cybersecurity disclosure rules (Form 8-K) and materiality for AI-driven incidents
- State data-breach notification laws and detecting AI-enabled exfiltration
- Defensive AI, active defense, and the legal risks of 'hack-back' strategies
Who Will Benefit
- Chief Information Security Officers
- General Counsel and In-House Counsel
- Chief Risk Officers
- Incident-Response and Cyber Counsel
- Compliance Officers
- Privacy Officers
- Security Operations Leaders
- Board Members and Audit-Committee Chairs
Speaker Profile
In his practice, Eran counsels clients on a wide variety of matters related to AI, cybersecurity, privacy, technology law, trademarks, patents, and copyright issues. Eran also serves in a variety of cybersecurity thought leadership roles and works closely with the FBI, Department of Justice, Secret Service, and colleagues from the private and academic sectors to set, promote, and sustain cybersecurity best practices.
At Stanford Law School, Eran writes and lectures on the intersect between law and AI and is a frequent speaker at Stanford's annual Digital Economy Best Practices Conference. He has been cited in Oxford University Professor Marcus Du Satoy’s book The Creativity Code: Art and Innovation in the Age of AI and has been interviewed on AI, cybersecurity, privacy, and technology law by Bloomberg Law, BBC, Canadian Broadcasting Corporation (CBC) radio, KABC radio, Minnesota Public Radio, Twin Cities Business magazine, Star Tribune, Minnesota Lawyer, TheStreet.com, Quartz magazine, KARE 11, and Stanford University Radio, KZSU FM.
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