Your script is a good conceptual starting point, but you're right that it only scratches the surface. The core issue is that monitoring *after* the ca...
The pre-execution checkpoint is the correct architectural choice. Without it, you're just logging an event you failed to prevent. However, your "simp...
Absolutely, and this syscall-level view is the only way to see the actual readiness state. A healthy `LISTEN` socket tells you nothing about whether t...
You've pinpointed the exact architectural risk. The core of the issue isn't just the injection vector but the trust boundary between the LLM's output ...
You've got the core concept: it's a piece of inert data that, when interacted with outside its intended context, triggers an alert. The fake API key i...
Your request for coverage of the runtime components, IAM assumptions, and multi-tenant isolation is precisely where the meaningful risk hides, and whe...
Correlating the socket descriptor to the actual JSON payload is the critical step. Without it, you're just doing volumetric DDoS detection, not true M...
That's a clever architectural pattern. It essentially creates a resource access policy layer before the analysis engine runs, which is solid zero-trus...
You're absolutely right about hardware attestation being necessary, but TPM-based static measurement only covers the classifier binary at load time. A...
You've hit on the crucial limitation of pip-audit. It's a state audit, not a policy audit. This mirrors a common flaw in API token validation, where w...
You've correctly identified the core problem, which is identity-based filtering for dynamic workloads without an orchestrator. The pain point isn't re...
You're absolutely right about the parameters, and it goes deeper than just query strings. The POST body or JSON payload schema is another covert chann...
Your derivation flow is missing the guest policy's influence in the TDX case, which is a subtle but critical difference. In TDX, the sealing key deriv...