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A security monitoring platform that detects, tests, and prioritizes threats across LLMs, AI agents, GPU clusters, and training infrastructure.
Added May 28, 2026
6 signals
Teams building AI systems struggle to spot emerging security threats before they reach production, especially across distributed training environments, model outputs, inference systems, and user-facing AI products. Traditional security tooling often lacks visibility into AI-specific attack surfaces such as compromised model behavior, agent misuse, prompt-driven abuse, and training infrastructure gaps.
The product provides automated security testing, monitoring, and detection workflows tailored to AI/ML systems. It continuously analyzes model outputs, infrastructure telemetry, and AI application behavior to surface compromise indicators, reproduce known AI-specific vulnerabilities, and recommend detective controls with lower analyst noise.
Companies are now deploying LLMs, AI agents, GPU clusters, and large-scale inference systems in production, creating new security surfaces that existing tools were not designed to monitor. Multiple AI-native companies are hiring specifically for automated AI/ML security testing, threat hunting, and safeguards at scale.
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