Security & Threat Intelligence · 12.08.2026, 16:10 UTC
Blacklight: Illuminating AI Agent Artifacts for Attackers and Defenders
| Schweregrad | info |
|---|---|
| Kategorie | Security & Threat Intelligence |
| Quelle | SpecterOps ↗ |
| Veröffentlicht | 12.08.2026 UTC |
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TL;DR: Blacklight is an open-source security research toolkit for discovering and analyzing AI agent artifacts that reside on endpoints. It helps authorized security teams assess exposure, guide next decisions, and develop detection and hardening guidance. This project used models made available through SpecterOps’ participation in OpenAI’s Trusted Access for Cyber program to support this security research. The operator toolkit and defender guidance can be found on the SpecterOps GitHub URL here: https://github.com/SpecterOps/Blacklight.
Introduction
Local AI agents are now a regular part of developer endpoints and, increasingly, general user endpoints. Teams are embedding these tools into real workflows and relying on them to help build, troubleshoot, and ship products. Like other endpoint applications, they also create local artifacts that are often accessible within the user’s security context.
Blacklight was built to help authorized security teams assess this emerging endpoint surface and help defenders reduce the resulting exposure. For now, Blacklight maps artifacts across Codex, Claude Code, Cursor, and Antigravity CLI. Rather than treating local agents just as a credential-dumping target, Blacklight aims to demystify what they expose and show how data beyond credentials can support better decisions for operators, defenders, and the people who build them.
Why Local Agent Artifacts Matter
Developers and other technical users rely on agents for many parts of their workflow. They commonly use them to debug and fix issues within codebases. Agents may also inspect …