
Trustworthy AI Agents: Agent Lifecycle Management
8 minutes
Like microservices, agents need versioning, deployment pipelines, and safe deprecation paths.
Insights and opinion from the Sakura Sky team.

8 minutes
Like microservices, agents need versioning, deployment pipelines, and safe deprecation paths.

6 minutes
Agents need a standardized, authenticated, encrypted, and versioned protocol for inter-agent communication. Right now it is wild-west JSON …

7 minutes
Agents that act autonomously must obey provable invariants. Formal verification provides the missing guardrails for constraints like 'never …

26 minutes
Debugging agents is nearly impossible today. We need the ability to record and replay runs deterministically to diagnose errors and …

8 minutes
Models need to withstand data poisoning, prompt injection, and inversion attacks. A cleverly crafted input can collapse your system. This …

10 minutes
Why autonomous agents need hard limits, circuit breakers, and emergency stop mechanisms to prevent runaway execution and cascading failures.

9 minutes
How to make every agent action tamper proof and cryptographically verifiable for compliance and forensic analysis.

6 minutes
Guardrails must be enforced at runtime, not left as developer best practices. Just like infrastructure-as-code, compliance must be baked …

8 minutes
Go beyond API keys. Learn to engineer trustworthy AI agents with verifiable identity and attestation using the SPIFFE framework and a Python …

5 minutes
Why prompt injection is a critical vulnerability for AI agents. This guide covers detection techniques, architectural patterns, and a Python …

8 minutes
The next instalment in our series on trustworthy AI agents—an overview of 12 missing engineering primitives (encryption, identity, …

4 minutes
An overview of missing engineering primitives (encryption, identity, governance, orchestration, observability) required for AI Agents to be …
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