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All digests tagged Snyk
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Agentic coding is moving fast, creating massive efficiency but also unprecedented security risks. Experts discuss securing the 'software factory' and the need for new controls like identity and intent analysis.
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AI attackers are faster than traditional pen tests. To keep up with the volume of insecure code generated by LLMs, security must shift to continuous, multi-agent offensive security running on every PR.
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This session unpacks the security risks of AI coding agents, detailing how 76 malicious skills were found. Learn about prompt injection, secure registries (Tessl), and Snyk’s approach to governing agent behavior at scale.
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Autonomous agents accelerate development but create massive security backlogs. To secure AI-driven systems, deterministic validation layers are required to verify code output and prevent vulnerabilities.
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Managing AI coding skills requires treating them as first-class software assets. The talk outlines best practices to prevent 'skill sprawl,' emphasizing centralized registries, automated reviews, and dedicated lifecycle management.
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