3 results found
AI will not live in one place, but trust has to
This article discusses the tension between rapidly expanding enterprise AI capabilities and the need for strong governance, introducing a two-layer architecture: off-platform AI for experimental reach and on-platform AI for trusted, governed execution. It explains how combining both layers allows organizations to benefit from flexible, distributed AI while maintaining oversight, brand integrity, and risk management.
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Contentstack agent skills security policy
This policy defines the minimum security requirements for building, publishing, and maintaining Agent Skills within the Contentstack ecosystem. It protects users, content, and systems from prompt injection, unsafe markdown rendering, and model hallucinations.
How we use AI to speed up manual penetration testing at Contentstack
Discover how Contentstack's security team integrated a local AI assistant into Burp Suite to streamline manual penetration testing. This approach has significantly reduced the time spent on key testing loops, enhancing productivity while keeping testers in control.