Cyber-Insecurity in the AI Era
AI just expanded your attack surface. Legacy security won't cut it.
Why it matters
As AI systems proliferate in production, cybersecurity architecture must fundamentally shift from bolt-on defense to AI-native design—a critical governance and risk conversation for boards and CTOs.
The key facts
8 to knowMIT Technology Review EmTech AI conference session
Focus on security implications of AI adoption in enterprise stacks
Argument that legacy cybersecurity approaches are insufficient for AI-expanded attack surfaces
Emphasis on rethinking security architecture rather than patching existing systems
Focus on attack surface expansion from AI integration
Legacy security approaches inadequate for AI-era threats
Security-by-design required, not post-deployment patching
Published May 2026
Go to the source
MIT Technology Review AItechnologyreview.com
Publisher excerpt: Cybersecurity was already under strain before AI entered the stack. Now, as AI expands the attack surface and adds new complexity, the limits of legacy approaches are becoming harder to ignore. This session from MIT Technology Review’s EmTech AI conference explores why security must be rethought…