Uploaded August 2026 | Updated September 2026, 2 weeks ago
Agentic skills can be packaged as Markdown files containing natural-language instructions. Traditional software-supply-chain controls such as signing, provenance, and scanning can still apply.
The harder problem is understanding intent. A conventional code scanner can search for known patterns, but natural-language instructions can express behavior in much more flexible ways. That makes determining what a skill is actually telling an agent to do a different security challenge.
How should security teams evaluate the intent of AI skills when traditional pattern matching isn't enough?
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#AISecurity #AgenticAI #OWASP #SecurityWeekly #Cybersecurity #InformationSecurity #AI #InfoSec
Agentic skills can be packaged as Markdown files containing natural-language instructions. Traditional software-supply-chain controls such as signing, provenance, and scanning can still apply.
The harder problem is understanding intent. A conventional code scanner can search for known patterns, but natural-language instructions can express behavior in much more flexible ways. That makes determining what a skill is actually telling an agent to do a different security challenge.
How should security teams evaluate the intent of AI skills when traditional pattern matching isn't enough?
Subscribe to our podcasts: securityweekly.com/subscribe
#AISecurity #AgenticAI #OWASP #SecurityWeekly #Cybersecurity #InformationSecurity #AI #InfoSec
