Guard0
Guard0.ai provides an independent accountability layer for enterprise AI agents, enabling organizations to discover every agent, prove its actions, and assign a named owner across all entry points. The platform monitors agent behavior, detects drift from baselines, and offers a kill switch for unsafe operations. It addresses the gap where authority has moved to agents but accountability still points at people.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Enterprise AI agents now hold real authority—they read records, call tools, trigger workflows, and change production systems—but the systems used to answer who did what, what they were allowed to do, and who approved it were built for people. Authority moved to agents, but accountability did not move with it, leaving organizations unable to answer basic questions about their AI deployments.
Solution
Guard0.ai provides the independent record for enterprise AI, creating an accountability layer that lets organizations see what their agents are, know what they did, and know who stands behind them. The platform discovers every agent across three environments—those shipped by vendors, built by internal teams, and used by employees—and tracks them on a single graph with a named owner for each. Guard0 establishes behavioral baselines, detects drift from normal patterns, and provides a kill switch for when agent behavior falls outside approved scope. The system also monitors the inbound and outbound directions of LLM gateways, identifying vulnerabilities like prompt injection attacks that bypass input filters and credential exfiltration risks through gateway misconfigurations.
Target Audience
Primary customers are governance and security teams at global enterprises, including banks, fintechs, and large corporations that deploy AI agents at scale and need to maintain accountability and compliance.
Features
- Agent discovery across all three enterprise entry points: vendor-shipped, internally built, and employee-used agents, unified on a single graph with named owners
- Behavioral baseline monitoring with drift detection that flags anomalies such as call volume spikes (e.g., 847 calls in 15 minutes against a baseline of 12/hour)
- Kill switch capability to halt agent operations when behavior falls outside approved scope
- Gateway security analysis covering both inbound prompt injection and outbound credential exfiltration paths, including detection of attacks like CVE-2026-35029 and CVE-2026-82270
- Access path visualization showing what systems each agent can reach, including PII paths and blast radius calculations
- Named owner assignment for every agent, ensuring human accountability for AI actions