A security monitoring platform that detects, tests, and prioritizes threats across LLMs?, AI agents, GPU? clusters, and training infrastructure.
Added May 28, 2026
High opportunity (82%)
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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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Support threat modeling activities for AI-powered applications and agentic workflows Support the implementation of AI runtime security controls, monitoring, and policy enforcement mechanisms
Architect security guardrails and threat models for autonomous AI agents and large language model (LLM) platforms. Collaborate within a cross-functional discovery team to prevent automated workflows from executing unauthorized operations.
Empower customer SOC analysts on CTI workflows while facilitating seamless collaboration across client stakeholders, internal teams, and Mandiant partners. Identify, assess, and advocate for mitigation strategies around unique security vulnerabilities and emerging threats within AI/ML systems.
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