Blog / Research
Technical writing, research notes, and analysis from the team building infrastructure-level security for autonomous AI.
Prompt-level guardrails are a temporary fix. As autonomous agents gain real-world capabilities, security must move to the infrastructure layer where actions are physically intercepted and validated.
Traditional zero-trust architectures assume human users. Autonomous agents require fundamentally different trust models — starting with cryptographic verification of every action chain.
Deploying autonomous AI in environments with no internet connectivity presents unique challenges. From model weight management to policy updates — an operational overview.
Text-based SQL filtering misses intent. Wire protocol interception captures the true semantics of every database action an agent attempts to execute.
