When hackers go BIG in cyber espionage.

6 snips

Oct 16, 2025

Manoj Nair, Chief Innovation Officer at Snyk and AI security expert, dives into the evolving landscape of AI risks. He shares insights on critical issues like hallucinations, supply-chain vulnerabilities, and the importance of governance in AI development. With recent high-severity threats reshaping the security landscape, Nair emphasizes the need for organizations to adapt quickly. He also discusses strategies for CISOs, focusing on visibility, policy enforcement, and team education to effectively manage AI security challenges.

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INSIGHT

Early Innings Of AI Security

We're in the early innings of understanding AI security risks and defenses.
Security adoption must move at 'AI speed' alongside rapid AI innovation.

INSIGHT

Code As Ground Zero For AI Risk

Code is becoming the dominant enterprise AI use case with new agentic tools and IDEs.
Hallucinations and malicious packages create novel coding and supply-chain risks.

ADVICE

Require Guardrails And AI-Based Testing

Don't deploy AI outputs without guardrails and testing across the SDLC.
Use AI to secure and test AI, and build checks for hallucinations and package risks.

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