llm-security

Covers the practical security challenges of running and integrating large language models in production. Topics include protecting API credentials from theft and automated abuse, monitoring for anomalous usage and silent draining, and treating model availability as a security concern when access can be revoked or blocked. Expect forensic breakdowns of real incidents alongside defensive tactics for hardening LLM deployments against credential leaks and supply-side risks.

Robotic claw lifting a glowing API key from tangled cables and packages, with an abandoned crypto mining rig behind.

api-security, llm-security, credential-theft, supply-chain-security, api-key-management

Eight Tokens at Midnight: Why Stolen API Keys Are the New Crypto Mining

A low-balance email revealed a compromised LLM API key being silently drained by automated bots. The forensic trail shows how stolen API credentials have replaced crypto mining as the attacker's prize, and what you can do to stop it.

Security analyst running a local server as a cloud API goes dark, showing offline AI security infrastructure

abliteration, llm-security, open-weights-models, red-teaming, ai-censorship, cybersecurity, fable, antrophic, mythos

When Availability has become a first-class AI capability metric

The Mythos/Fable blockade revealed a new reality: a model's benchmark score is zero when it's unavailable by decree. In the age of strategic AI, availability has become a capability of its own—and open-weight models are how organizations reclaim it.