Observe
Track which tools an AI agent used, in what order, and toward which objective.
AI SECURITY / RESEARCH PREVIEW
Read AI-agent activity as context and connected vulnerabilities—not isolated alerts. Building on the OpenClaw prototype, we are now adapting and validating a Codex-focused version.
WHY NOW
Track which tools an AI agent used, in what order, and toward which objective.
Assess risk candidates using surrounding actions and trust boundaries, not a single log line.
Use a vulnerability graph database to explore relationships among behavior, assets, and known knowledge.
STEP-BY-STEP SIMULATION
See how log context changes from normal activity to a risk candidate, step by step. Scores and judgments are illustrative, not measured accuracy.
Normal logs appear automatically. Risk-candidate logs are added only after the BrandAI action is triggered.
Text read from a webpage or retrieved file may contain instructions the requester did not intend. Executing it without checking trust, required permissions, and destination can lead to unintended actions or data transfer. This demo relates those signals to the surrounding logs.
Showing normal logs. Waiting for an action event from BrandAI Insights.
BUILD WITH US
We welcome co-development partners exploring safe AI-agent operations, as well as organizations interested in licensing the vulnerability graph database built through this work.