James Berthoty (@JamesBerthoty) on X
James Berthoty argues that AI guardrails for first-party AI features should be treated as an extension of cloud/product security, not tied to employee-usage monitoring. Guardrails (prompt injection defense, content filtering, goal alignment) are available from AI security vendors, gateways, frontier providers and SDKs. He recommends deploying in-depth guardrails through developer SDKs or an existing cloud runtime/CADR provider, because those see what happens on the workload (such as a prompt injection leading to workload takeover, or the files a malicious MCP call wrote). Dedicated AI security vendors offer an integrated policy engine and deeper AI red-teaming, but they are usually run by internal IT rather than cloud/product security teams.
Organisations named here
- James Berthoty
Technologies named here
- AI Security tools/vendors
- AI guardrails
- Developer tools / SDK-deployed guardrails
- Cloud application detection and response tools
- Cloud runtime security provider
- AI gateways
- Model Context Protocol
Techniques named here
- Prompt Injection
- Malicious MCP call
- Workload takeover following prompt injection
- Network inspection-based guardrails
- API-based guardrail integration
- AI red-teaming
- Content filtering
Related in AI Security
