Armorer Labs
Armorer Labs provides runtime security and governance for AI agents in regulated industries, detecting exposed access, assessing real-world threats, and auto-generating verified fixes. Its Armorer Guard product blocks unsafe actions before they execute, with benchmarked attack-capture rates at or below 1% false positives. The platform also supports post-training least-privilege restraint for tool-using agents in terminal and MCP environments.
- Cybersecurity
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
AI agents operate with excessive authority, executing tool calls that exceed user-granted permissions or task requirements. Runtime permission gates and sandboxes alone cannot fully separate what an action means from whether it is allowed for the specific task, credentials, and prior tool-call history, leaving organizations vulnerable to AI-enabled attacks and excess-authority errors.
Solution
Armorer provides runtime security and governance for AI agents, assessing risk and fighting AI-enabled attacks while auto-remediating vulnerabilities at machine speed. Its Guard product enforces fixes before agents act, with engineers approving draft pull requests that include verified Guard rules that have passed reruns. The platform writes fixes and enforces them at runtime, ensuring that attacks fail while the work continues. Armorer benchmarks high attack-capture rates with at most 1% false positives, as demonstrated in its threat intelligence reporting on real-world AI chatbot exploits, including Meta AI support chatbot account takeovers.
Target Audience
Primary customers are organizations operating AI agents in terminal, MCP, and automated workflow environments, including security teams, platform operators, and enterprises deploying delegated long-running agent tasks with broad credentials or network access.
Features
- Armorer Guard runtime protection that enforces security fixes before agents execute actions
- Auto-generated draft pull requests with verified Guard rules that pass reruns before engineer approval
- Attack-capture benchmarking with at most 1% false positives, using F1 scores for PII detection scenarios
- Published threat intelligence on real-world AI agent exploits, including Meta AI support chatbot Instagram account takeovers
- Post-training least-privilege restraint techniques for tool-using agents in terminal and MCP environments
- Sufficient-authority envelope definition per task profile, auditing agent actions against completion, evidence, exact state, prohibited attempts, and safe success dimensions