RESEARCH
Real exploit paths, not AI security hot takes
We break down prompt injection, tool abuse, secret leaks, and exposed agent endpoints into concrete attack chains teams can actually fix.
Subscribe Free →AI SECURITY RESEARCH
Track AI security shifts, expose agent risks, and stop risky releases.
HOW IT WORKS
AIPwn connects research that explains AI and agent attack paths, watchboards that prove exposure, and release controls that stop risky changes from shipping.
RESEARCH
We break down prompt injection, tool abuse, secret leaks, and exposed agent endpoints into concrete attack chains teams can actually fix.
Subscribe Free →WATCHBOARDS
OpenClaw turns findings into visible watchboards so teams can verify what is exposed, where it is reachable, and how risk changes over time.
Open OpenClaw →PRODUCT
ClawPlane uses the same evidence in policy, CI, and deploy decisions so risky changes do not quietly ship.
Open ClawPlane →PRODUCTS
One stack for teams that need research, scanning, and release control across AI systems and agents.
AI security briefings with real attack chains, agent exploits, defensive breakdowns, and high-signal industry shifts.
LivePolicy, scanning, and release gates for AI systems and agent workflows in one control plane.
AlphaEvidence-first scanning for repos, skills, MCP servers, and exposed OpenClaw targets.
Live SurfaceDiff-aware PR, CI, and deploy gates that block risky changes with evidence instead of guesswork.
AlphaCOVERAGE
The homepage should make our detection surface obvious: prompt exploits, model and tool abuse, leaked secrets, and public exposure.
Current detection areas
Instruction override, hidden tool abuse, indirect prompt poisoning, and unsafe retrieval flows.
Shell execution, downloader chains, unsafe subprocess usage, and overly broad permissions.
Leaked API keys, tokens in repos, unsafe logs, and public config artifacts.
OpenClaw services exposed without auth, public docs/openapi, and externally reachable risky interfaces.