AI/ML Security
Provider 
Founded —
Pricing Model —
Ownership —

AI/ML Security assesses machine learning pipelines, model architecture, and AI-based systems for security vulnerabilities.
Assessments cover the full AI/ML pipeline, including software and machine-learning architecture components, CI/CD processes, data provenance, and hardware stack security, uncovering vulnerabilities that can degrade model performance or expose model parameters and data. The service also performs threat modeling, operational design domain analysis, and risk framework evaluation for AI adoption.
Consultants benchmark AI model performance and validate offensive and defensive cyber capabilities, drawing on experience from AI red-teaming engagements and DARPA's AI Cyber Challenge. Each engagement delivers a written findings report, short- and long-term SDLC recommendations, and runnable exploit proof-of-concepts alongside custom AI security training.
| Attribute | AI/ML Security | Professional Services | |
|---|---|---|---|
| Provider | |||
| Founded | — | 2022 | |
| Pricing Model | — | Recurring, Software | |
| Ownership | — | Venture-backed |
Provider 
Founded —
Pricing Model —
Ownership —
Provider 
Founded 2022
Pricing Model Recurring, Software
Ownership Venture-backed


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Platform securing machine learning models and AI systems against attacks.

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Synack Penetration Testing pairs elite researchers with an AI-enabled platform for continuous testing.

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Security platform for protecting generative AI and LLM applications in enterprises.

Continuous behavioral testing and remediation platform for AI agents and models.

An AI-native endpoint security platform that discovers software, prevents risk, and enables safe enterprise AI adoption.

Platform that discovers, monitors, and governs enterprise AI agents at runtime.

AI-powered security analysis tool that scans codebases for vulnerabilities and proposes targeted patches

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