QuantumFalcon offers a security control plane that continuously monitors autonomous AI agents at runtime to detect deviations in tool usage, intent, and scope. Its platform uses swarms of autonomous red‑team agents to simulate attacks across tools, memory, and decision chains, while a policy engine enforces behavioral boundaries and provides real‑time alerts for rapid response.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying autonomous AI agents face increasing risks of tool misuse, goal hijacking, memory poisoning, and other runtime deviations that can lead to unintended behavior or security breaches. Existing security solutions are not designed for the dynamic, multi-step decision processes of AI agents, leaving gaps in detection and governance.
Solution
QuantumFalcon provides a purpose-built security control plane that continuously monitors AI agents during execution to detect deviations in tool usage, intent, and scope. The platform employs swarms of autonomous red‑team agents to simulate attacks across tools, memory, and decision chains, uncovering potential vulnerabilities before they are exploited. Runtime policies can be defined and enforced to keep agent actions aligned with organizational intent, compliance, and safety requirements. All detections and policy violations are reported in real time, enabling rapid response and remediation. The solution aligns with the OWASP Top 10 Agentic Risks, offering a comprehensive framework for agent governance and protection.
Target Audience
Primary customers are enterprises and platform providers that develop or operate autonomous AI agents, such as large tech firms, fintech, healthcare, and cybersecurity companies seeking to secure their AI-driven workflows.
Features
- Real‑time monitoring of agent tool interactions, memory accesses, and decision pathways to spot intent drift
- Autonomous red‑team swarms that generate attack scenarios across the agent’s toolset and memory to expose weaknesses
- Policy engine for defining and enforcing behavioral boundaries, scope limits, and compliance rules at runtime
- Quantum Orchestration Layer that acts as a security control plane, integrating with existing AI pipelines and orchestration frameworks
- Alerts and detailed telemetry for detected deviations, supporting rapid incident response and forensic analysis
- Alignment with OWASP Top 10 Agentic Risks, covering goal hijacking, tool misuse, memory poisoning, and cascading failures