New
QF v2.0 is available now
Purpose-Built Security for AI Agents
Uncover deviations in agent tool usage, scope, and intent at runtime.
Faster visibility. Smarter control.
Stop Agent Compromise
Identify when agents are influenced by untrusted content or tool responses that alter intent or behavior.
Agentic Red Teaming
Our patent-pending platform uses swarms of autonomous agents to simulate attacks on agents across tools, memory, and decision chains.
Quantum Orchestration Layer
A purpose-built security control plane for autonomous AI agents. Aligned with OWASP Top 10 Agentic Risks, including goal hijacking, tool misuse, memory poisoning, and cascading failures.
Agent behavior is non-repeatable
The same prompt can produce different decisions or actions depending on context and state, making behavior hard to predict or secure with static rules.
Action boundaries are dynamic
Agents don’t operate within fixed execution paths. They discover tools, chain actions, and expand their reach at runtime.
Intent is inferred, not enforced
Agent behavior emerges from context rather than fixed intent, making policy enforcement inherently fragile.
Pricing that Scales with Agent Autonomy
Choose a pricing tier based on the level of control and enforcement required as agents move from experimentation to production.
Real-time agent security events
Out-of-the-box SIEM compatibility
Centralized agent visibility across your security stack
