Top 10 Best AI Penetration Testing Companies in 2025

AI is no longer just a buzzword; it’s a fundamental part of business operations, from customer service chatbots to complex financial models. However, this adoption has created a new and specialized attack surface.

Traditional penetration testing, which focuses on network and application vulnerabilities, is insufficient to secure AI systems.

AI penetration testing involves adversarial machine learning, prompt injection, and data poisoning to identify and exploit weaknesses unique to AI models and the infrastructure they run on.

In 2025, these services are crucial for ensuring the security, reliability, and ethical use of AI.

Why We Choose AI Penetration Testing

AI systems are vulnerable to a new class of attacks that can corrupt their data, manipulate their behavior, or exfiltrate sensitive information.

Attack vectors like prompt injection, where malicious input is crafted to bypass safety filters, or model poisoning, where training data is manipulated to introduce backdoors, are not addressed by conventional security tools.

AI penetration testing provides a proactive way to discover these vulnerabilities and build resilient, trustworthy AI systems, protecting against financial, reputational, and regulatory risks.

How We Choose It

To compile this list, we evaluated each company based on three key criteria:

Experience & Expertise (E-E): We focused on companies with deep research capabilities in AI security, a track record of discovering novel AI vulnerabilities, and teams composed of both security experts and data scientists.

Authoritativeness & Trustworthiness (A-T): We considered their market leadership, their contributions to AI security frameworks like OWASP, and the trust they have earned from enterprise clients.

Feature-Richness: We assessed the breadth and depth of their service offerings, looking for capabilities in:

Adversarial AI Testing: The ability to test for vulnerabilities like data poisoning and evasion attacks.

LLM Red Teaming: Specialized testing for Large Language Models (LLMs) to find prompt injection and data exfiltration flaws.

“Shift-Left” Integration: The ability to integrate security into the AI development lifecycle (MLSecOps).

Comprehensive Coverage: Testing for vulnerabilities in the entire AI stack, from data to model to application.

Comparison Of Key Features (2025)

Company	Adversarial AI Testing	LLM Red Teaming	Shift-Left Integration	Comprehensive Coverage
CalypsoAI	✅ Yes	✅ Yes	✅ Yes	✅ Yes
HiddenLayer	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Mindgard	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Lakera	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Protect AI	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Robust Intelligence	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Prompt Security	❌ No	✅ Yes	❌ No	❌ No
SplxAI	✅ Yes	✅ Yes	✅ Yes	✅ Yes
HackerOne	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Trail of Bits	✅ Yes	✅ Yes	✅ Yes	✅ Yes

1. CalypsoAI

CalypsoAI is a market leader in AI security, with a platform built to test and defend against attacks on AI models.

Its flagship product, the Inference Red-Team solution, automates the discovery of vulnerabilities through real-world attack simulations.

The company’s expertise is highlighted by its CalypsoAI Security Leaderboard, which ranks major AI models on their security performance, providing a transparent, data-driven view of risk.

Why You Want to Buy It:

CalypsoAI offers a unique, automated red-teaming capability that identifies hidden weaknesses and provides a quantifiable security score for AI models.

This allows organizations to build governance and compliance into their AI systems from the very beginning.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	Automated red-teaming for real-world attack simulations.
LLM Red Teaming	✅ Yes	Specializes in testing for vulnerabilities in GenAI and agents.
Shift-Left Integration	✅ Yes	Integrates into the SDLC for continuous security testing.
Comprehensive Coverage	✅ Yes	Secures the full AI lifecycle, from development to production.

✅ Best For: Enterprises that need a purpose-built platform to test and secure mission-critical AI applications and agents against advanced, automated attacks.

Try CalypsoAI here → CalypsoAI Official Website

HiddenLayer is a specialized AI security company focused on MLSecOps, the practice of integrating security into machine learning operations.

Its platform provides a robust detection and response capability by monitoring models at runtime.

HiddenLayer’s AI threat landscape reports and research demonstrate a deep understanding of evolving threats, including adversarial attacks and data poisoning, making it a key player in the space.

Why You Want to Buy It:

HiddenLayer provides a critical layer of defense for live AI systems. Its platform can detect and respond to attacks that bypass pre-deployment testing, ensuring the integrity and security of models once they are in production.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	Specializes in detecting adversarial attacks.
LLM Red Teaming	✅ Yes	Provides red-teaming services for generative AI.
Shift-Left Integration	✅ Yes	Part of the MLSecOps workflow.
Comprehensive Coverage	✅ Yes	Protects AI systems from development to production.

✅ Best For: Organizations with mature ML teams that need a dedicated platform to monitor and protect AI models at runtime against adversarial attacks.

Try HiddenLayer here → HiddenLayer Official Website

3. Mindgard

Mindgard is a leader in AI Security Testing, a category recognized by Gartner as an emerging innovation.

Founded in a leading UK university lab, the company’s platform, DAST-AI, is designed to find AI-specific vulnerabilities that traditional AppSec tools miss.

Mindgard’s expertise is built on over a decade of rigorous AI security research and a vast threat intelligence database of attack scenarios.

Why You Want to Buy It:

Mindgard offers a solution that is built from the ground up to address the unique challenges of AI security.

Its DAST-AI platform reduces testing times from months to minutes, enabling security teams to continuously identify and mitigate risks throughout the AI lifecycle.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	DAST-AI identifies AI-specific runtime vulnerabilities.
LLM Red Teaming	✅ Yes	Specializes in testing LLMs and agentic AI.
Shift-Left Integration	✅ Yes	Integrates seamlessly into existing CI/CD pipelines.
Comprehensive Coverage	✅ Yes	Covers a wide range of AI models, including image and audio.

✅ Best For: Forward-looking security teams that need a dedicated, purpose-built platform for offensive security testing of AI systems, from chatbots to complex agents.

Try Mindgard here → Mindgard Official Website

4. Lakera

Lakera offers a comprehensive platform for securing GenAI applications. Its solution is divided into two parts: Lakera Red, for automated red teaming during development, and Lakera Guard, for real-time runtime protection.

The company’s contributions to the OWASP Top 10 for LLMs (2025) and the AI Vulnerability Scoring System demonstrate its deep involvement in shaping the industry’s security standards.

Why You Want to Buy It:

Lakera provides an end-to-end security solution for GenAI, ensuring that vulnerabilities are uncovered before deployment and that live applications are protected against real-time threats like prompt injection and data leakage.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	Lakera Red simulates real-world attacks.
LLM Red Teaming	✅ Yes	Automated and continuous LLM testing.
Shift-Left Integration	✅ Yes	Integrates with development workflows.
Comprehensive Coverage	✅ Yes	Covers development and runtime stages.

✅ Best For: Organizations that need to secure GenAI applications with a two-pronged approach: proactive testing during development and robust protection at runtime.

Try Lakera here → Lakera Official Website

5. Protect AI

Protect AI is a key player in AI security, offering a comprehensive platform to discover, manage, and protect against AI-specific security risks.

Its solutions focus on securing the entire AI development lifecycle, from model scanning to GenAI runtime security and posture management.

The company’s expertise has led to its recent acquisition by Palo Alto Networks, which will integrate Protect AI’s capabilities into its Prisma Cloud platform.

Why You Want to Buy It:

Protect AI’s platform provides end-to-end security for AI systems, helping businesses meet enterprise requirements for model scanning, risk assessment, and posture management, ensuring they can deploy AI with confidence.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	Specializes in AI-specific security risks.
LLM Red Teaming	✅ Yes	Covers GenAI runtime security.
Shift-Left Integration	✅ Yes	Secures the AI development lifecycle.
Comprehensive Coverage	✅ Yes	End-to-end security from development to runtime.

✅ Best For: Organizations that want an enterprise-grade AI security solution with a strong focus on securing the entire AI development and deployment lifecycle.

Try Protect AI here → Protect AI Official Website

6. Robust Intelligence

Robust Intelligence is an AI security and red-teaming company that specializes in making AI models resilient and trustworthy.

Their services are designed to address the unique fallibility of generative AI systems, which can be vulnerable to prompt injection, data leaks, and model manipulation.

The company’s approach is similar to traditional security audits, but with a specific focus on the unique vulnerabilities of AI.

Why You Want to Buy It:

Robust Intelligence provides a highly specialized and methodical approach to AI security, adopting an attacker’s perspective to uncover hidden vulnerabilities.

This is essential for organizations deploying AI in sensitive sectors like finance and healthcare.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	Expert-led AI red-teaming.
LLM Red Teaming	✅ Yes	Specializes in testing generative AI.
Shift-Left Integration	✅ Yes	Tests are integrated into the SDLC.
Comprehensive Coverage	✅ Yes	Audits the entire AI system, from data to model.

✅ Best For: Organizations that need a dedicated team to conduct in-depth, expert-led AI red-teaming and security audits.

Try Robust Intelligence here → Robust Intelligence Official Website

7. Prompt Security

Prompt Security is an AI security firm that specializes in the unique challenges posed by Large Language Models. Their services focus on AI red-teaming to identify vulnerabilities in homegrown AI applications.

The company’s insights and predictions for 2025 highlight the rapid evolution of the security landscape, with AI-powered malware and new attack vectors becoming a critical concern.

Why You Want to Buy It:

Prompt Security offers highly focused expertise in LLM security, providing a direct solution for a major new attack vector. Their specialization ensures a deep understanding of the unique vulnerabilities that exist within LLM-based applications.

Feature	Yes/No	Specification
Adversarial AI Testing	❌ No	Focus is primarily on prompt injection.
LLM Red Teaming	✅ Yes	Specializes in LLM and agentic AI.
Shift-Left Integration	❌ No	Focus is on testing, not full SDLC integration.
Comprehensive Coverage	❌ No	Highly focused on LLMs.

✅ Best For: Organizations whose primary concern is the security of their large language models and the risks associated with prompt injection and data exfiltration.

Try Prompt Security here → Prompt Security Official Website

8. SplxAI

SplxAI offers a platform that empowers organizations to adopt AI with confidence by proactively testing, hardening, and monitoring AI systems against advanced attacks.

The company’s services include automated red-teaming for AI assistants and agents, as well as real-time monitoring. SplxAI’s solutions are designed to be integrated into the CI/CD pipeline, ensuring continuous security throughout the AI lifecycle.

Why You Want to Buy It:

SplxAI’s platform allows for continuous risk assessments, ensuring that AI apps remain protected against emerging attack vectors. It helps teams uncover and remediate vulnerabilities before launching GenAI apps into production.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	Provides automated risk assessments and red teaming.
LLM Red Teaming	✅ Yes	Specializes in testing GenAI assistants and agents.
Shift-Left Integration	✅ Yes	Integrates into the CI/CD pipeline.
Comprehensive Coverage	✅ Yes	Covers the entire AI application lifecycle.

✅ Best For: Organizations that need a platform to perform automated, continuous security validation on their AI applications and agents.

Try SplxAI here → SplxAI Official Website

9. HackerOne

While best known for its bug bounty platform, HackerOne has become a key player in AI security by offering a managed service for AI red teaming.

The company leverages its vast community of security researchers to find and fix AI vulnerabilities, including prompt injection, data leakage, and training data poisoning.

Their platform provides a streamlined workflow for managing findings and collaborating with researchers.

Why You Want to Buy It:

HackerOne’s platform provides a scalable and efficient way to conduct AI red teaming. By tapping into a global network of specialists, organizations can get a comprehensive test for a wide range of AI vulnerabilities in less time.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	Leverages a community of security researchers.
LLM Red Teaming	✅ Yes	Offers managed services for LLM testing.
Shift-Left Integration	✅ Yes	Provides a platform for vulnerability management.
Comprehensive Coverage	✅ Yes	Covers both AI and traditional application security.

✅ Best For: Companies that want to leverage the power of a crowdsourced community of elite hackers to find AI-specific vulnerabilities.

Try HackerOne here → HackerOne Official Website

10. Trail Of Bits

Trail of Bits is a highly respected cybersecurity firm known for its deep technical expertise and research-driven approach. The company has a strong reputation for securing some of the world’s most critical systems, including blockchain and AI.

Its AI security services combine high-end research with a real-world attacker mentality to find and fix fundamental vulnerabilities in AI models and the infrastructure they rely on.

Why You Want to Buy It:

Trail of Bits’s expertise goes beyond standard testing. They are not just finding vulnerabilities; they are fixing the underlying software and architecture.

Their ability to uncover critical flaws in hardened systems makes them a trusted partner for securing high-value AI assets.

Feature	Yes/No	Specification
Adversarial AI Testing	✅ Yes	Research-driven and highly technical.
LLM Red Teaming	✅ Yes	Conducts in-depth security assessments.
Shift-Left Integration	✅ Yes	Supports secure software development.
Comprehensive Coverage	✅ Yes	Specializes in securing the entire AI stack.

✅ Best For: Organizations that need a deep, technical security assessment from a firm with a world-class reputation for research and ethical hacking.

Try Trail of Bits here → Trail of Bits Official Website

Conclusion

As AI becomes more integrated into our digital infrastructure, AI penetration testing is rapidly becoming an essential component of a robust security strategy.

The companies on this list represent the top tier of a new and growing industry, combining cutting-edge research with practical, real-world testing.

Companies like CalypsoAI, Mindgard, and Lakera stand out for their purpose-built, automated platforms that are specifically designed to address the unique threats to AI systems.

Meanwhile, established players like HackerOne and Trail of Bits are leveraging their existing expertise and reputation to provide world-class AI security services.

The right choice depends on your organization’s needs: whether you need a specialized platform for continuous testing, an expert-led assessment for a mission-critical model, or a scalable, crowdsourced solution.

All of these providers, however, offer the necessary expertise to protect your AI investments from the next generation of cyber threats.