#llmsecurity

What Should an LLM Be Allowed to Remember? LLM memory can make financial applications feel...

Explore the engineering internals of the Model Context Protocol (MCP). Analyze JSON-RPC 2.0 schemas, stdio vs. SSE transports, context window optimiza

Counting the AI Gateway Surface: ZoomEye Data on LiteLLM and Kestra After the September KEV...

How to build AI guardrails with Jev: one cheap screening call per message, thresholds in code, Next.js and Laravel examples, and the risks the docs ad

Stop Grok Build data exfiltration by auditing Git history and using disposable sandboxes. Protect your enterprise code from unauthorized 5.1 GB uploads today.

Repo-level prompt injection turns “clone and ask the agent” into a supply-chain compromise. Here’s the threat model, a safe demo, and practical mitigations.

A practical MCP server security test plan: authn/authz models, tool allowlists, prompt-injection regression tests, rate limits, audit logs, and a CI-friendly permissions linter.

Three incidents, one bottleneck, and it isn’t model capability I’ve been building agent...

If you follow AI safety, you know the uncomfortable truth: modern LLM guardrails are failing not...

Your assistant didn't get breached. Nobody bypassed an access control. The model just remembered the...

A team-ready workflow to verify GGUF integrity: compute SHA256, require signed manifests, handle mirrors safely, scan sidecars, and ship updates via an internal registry.

Nobody asked an AI agent to hack an Australian government website. It was trying to answer a data...