Gist: The piece argues AI microservices need security controls extended from traditional zero-trust and API governance, because prompt injection and model-driven exfiltration create new attack paths. It frames mTLS, centralized policy, and observability as core safeguards.
Signal reason: It reinforces a broader market narrative that existing microservices security should be extended to cover AI systems.
