AGENT SECURITY FABRIC
Get a comprehensive understanding of your AI risk posture with continuous, autonomous Agent testing & red teaming — powered by agentic swarms that think like attackers. Highflame Red runs adaptive, multi-turn adversarial simulations to expose vulnerabilities before real-world threats do, ensuring your defenses evolve as fast as AI itself.
Red uses a swarm of autonomous, adversarial agents that simulate real-world attack behaviors: probing, adapting, and escalating just like a human red team, but continuously and at scale.
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Proactively stress-test your enterprise agents with autonomous, multi-engine red-teaming that adapts to how attackers operate. Then turn those findings into stronger defenses: tighter guardrails, safer tool permissions, hardened prompts and policies, and measurable posture improvements you can enforce in production.
Red integrates directly into your development and operations pipelines, so security keeps pace with how agents are actually built and adopted. Automate stress tests for every change new prompts, tools, models, MCPs, and workflow updates, and catch regressions before they ship.
Highflame Red is built in alignment with the OWASP AI Testing Guide, translating industry-recognized AI risk categories into practical, automated testing for real-world agent systems. The result is a repeatable, standards-aligned approach to testing your agents, with clear evidence of risk coverage and measurable improvements over time.
Highflame Red is built for enterprises that can’t rely on point-in-time testing. Our autonomous red-teaming engine uses agentic swarms to mimic real-world adversaries, continuously stress-testing your AI stack so your defenses evolve as fast as AI does.
As AI agents proliferate, most enterprises can’t protect what they can’t see. Highflame discovers every AI asset and agent across your enterprise, providing full visibility and preventing data leaks, misuse, and insecure code execution.
With research-backed guardrails trained on adversarial and contextual data, Highflame detects unsafe actions — such as data exfiltration, code misuse, and compliance drift — before they impact operations.
AI threats evolve by the minute. With Highflame’s adaptive runtime defense and Red Team engine, enterprises detect and neutralize attacks up to 4× faster than traditional AI security tools.
Because AI threats evolve faster than humans can test, models retrain, agents adapt, and new tools appear daily, each creating fresh attack surfaces. Highflame Red runs 24 × 7 adversarial simulations that learn, probe, and refine, ensuring your protections never fall behind.
It’s autonomous, context-aware, and endlessly adaptive. Red’s agentic swarm doesn’t rely on static scripts; it thinks like an attacker coordinating multi-turn, cross-agent campaigns to uncover weaknesses no scan or checklist can reach. Each run feeds discoveries back into Highflame’s Agent Gateway, instantly reinforcing your live defenses.
By turning red teaming into a continuous feedback loop. Every test becomes new training data for your defenses, producing quantifiable improvements in posture, guardrail accuracy, and incident response speed. Red doesn’t just find vulnerabilities; it helps you eliminate them faster and prevent them from coming back.
Deploy HighFlame in our cloud, your cloud or even in your own data center
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