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AI Systems Threat Detection Console
97 Signals

AI Systems Threat Detection Console

A security monitoring platform that detects, tests, and prioritizes threats across LLMs, AI agents, GPU clusters, and training infrastructure.

Added May 28, 2026

AI Security
Threat Detection
Cloud Security
Opportunity score

High opportunity (79%)

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The Problem

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.

Potential Solution

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.

Why Now?

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.

Market validation
Search demand

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Showing 1-20 of 97 signals

Job adsSep 18, 2026
amazon
Manager III, Software Development Manager, InfraSec Access Boundary Security

Drive adoption of AI/ML-powered security solutions, including anomaly detection, automated reasoning for configuration validation, and machine learning for exposure identification. Own end-to-end security validation processes, ensuring consistent enforcement of access protection policies at scale.

Job adsSep 16, 2026
microsoft
Principal Software Engineer - AI Safety and Security

Build and evolve company-wide AI observability and monitoring systems that enable attack reconstruction, automated detection, evaluation, threat hunting, and investigation, using modern agentic development tools and AI-assisted coding workflows to prototype, evaluate, and iterate rapidly.

Job adsSep 15, 2026
chainguard
Staff Software Engineer (Malware Detection)

Background in cloud infrastructure, software supply chain security, or enterprise security platforms. Experience working with AI-assisted security analysis or automated threat detection systems, where output quality is measured and regression-tested rather than assumed.

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