AI/ML Penetration Testing
Provider 
Founded 2010
Sells To Enterprise
Pricing Model Recurring, Software
Ownership Venture-backed

AI/ML Penetration Testing red-teams machine learning systems using the MITRE ATLAS and OWASP LLM frameworks.
The engagement uses the MITRE ATLAS adversarial threat framework to simulate attacks unique to machine learning, including data poisoning and model inversion, alongside the OWASP Top 10 for LLMs to evaluate the training-data and plugin supply chain. A cross-functional team of enterprise architects, machine-learning research scientists, DevOps engineers, and red-team operators delivers each assessment.
Testing identifies supply-chain risk from third-party AI products and material vulnerabilities in deployed AI systems, producing remediation guidance aligned to frameworks such as the NIST AI Risk Management Framework. The service is positioned to help organizations demonstrate compliance and build trust with clients and partners.
| Attribute | AI/ML Penetration Testing | Professional Services | |
|---|---|---|---|
| Provider | |||
| Founded | 2010 | 2022 | |
| Sells To | Enterprise | — | |
| Pricing Model | Recurring, Software | Recurring, Software | |
| Ownership | Venture-backed | Venture-backed |
Provider 
Founded 2010
Sells To Enterprise
Pricing Model Recurring, Software
Ownership Venture-backed
Provider 
Founded 2022
Sells To —
Pricing Model Recurring, Software
Ownership Venture-backed


AI/ML Security Services assess AI systems for adversarial attacks, model theft, prompt injection, and data integrity risks.

AI/LLM Security Assessment tests LLM applications and infrastructure for prompt injection, data poisoning, and model extraction risks.


AI/ML Security assesses machine learning pipelines, model architecture, and AI-based systems for security vulnerabilities.


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


Platform securing machine learning models and AI systems against attacks.


Cisco AI Defense secures enterprise AI with asset discovery, model vulnerability evaluation, and runtime guardrails.


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



CalypsoAI Security Platform is an AI security and red-teaming service for enterprise AI applications.


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


Multi-disciplinary security reviews across application, blockchain, cryptography, and AI systems.


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


SPLX Platform is an enterprise AI security service that tests, protects, and governs AI systems across their lifecycle.


Lightweight open classifier models that detect prompt injection and jailbreak attempts in LLM inputs.
AI/ML Security Services assess AI systems for adversarial attacks, model theft, prompt injection, and data integrity risks.

AI/LLM Security Assessment tests LLM applications and infrastructure for prompt injection, data poisoning, and model extraction risks.

AI/ML Security assesses machine learning pipelines, model architecture, and AI-based systems for security vulnerabilities.

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

Platform securing machine learning models and AI systems against attacks.

Cisco AI Defense secures enterprise AI with asset discovery, model vulnerability evaluation, and runtime guardrails.

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

TrustTest enables AI red teaming and adversarial testing for models.

CalypsoAI Security Platform is an AI security and red-teaming service for enterprise AI applications.

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

Multi-disciplinary security reviews across application, blockchain, cryptography, and AI systems.

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

SPLX Platform is an enterprise AI security service that tests, protects, and governs AI systems across their lifecycle.

Lightweight open classifier models that detect prompt injection and jailbreak attempts in LLM inputs.
