Prompt Injection as a Redaction Bypass
Documents processed through LLM redaction pipelines can contain adversarial text that manipulates the model into preserving sensitive information. This attack vector is unique to AI-powered redaction.

Director, The Commonlight Initiative
Michael directs TCI's strategic initiatives, with deep expertise in digital forensics infrastructure, OSINT methodology, and evidence preservation architecture. He oversees the organization's research agenda and client engagements.
Documents processed through LLM redaction pipelines can contain adversarial text that manipulates the model into preserving sensitive information. This attack vector is unique to AI-powered redaction.
Deploying autonomous AI agents on self-hosted infrastructure requires careful architecture — balancing agent autonomy with operational security, audit requirements, and physical isolation constraints.
Modern agentic CLI tools are transforming the terminal from a simple command executor into a full investigation platform — with planning, tool orchestration, and autonomous decision-making built in.
TCI builds capture pipelines, redaction workflows, and air-gapped processing systems for organizations handling sensitive data.