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)
CompanyAdversarial AI TestingLLM Red TeamingShift-Left IntegrationComprehensive CoverageCalypsoAI Yes Yes Yes YesHiddenLayer Yes Yes Yes YesMindgard Yes Yes Yes YesLakera Yes Yes Yes YesProtect AI Yes Yes Yes YesRobust Intelligence Yes Yes Yes YesPrompt Security No Yes No NoSplxAI Yes Yes Yes YesHackerOne Yes Yes Yes YesTrail of Bits Yes Yes Yes Yes
1. CalypsoAI
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesAutomated red-teaming for real-world attack simulations.LLM Red Teaming YesSpecializes in testing for vulnerabilities in GenAI and agents.Shift-Left Integration YesIntegrates into the SDLC for continuous security testing.Comprehensive Coverage YesSecures 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
2. HiddenLayer
HiddenLayer
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesSpecializes in detecting adversarial attacks.LLM Red Teaming YesProvides red-teaming services for generative AI.Shift-Left Integration YesPart of the MLSecOps workflow.Comprehensive Coverage YesProtects 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
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesDAST-AI identifies AI-specific runtime vulnerabilities.LLM Red Teaming YesSpecializes in testing LLMs and agentic AI.Shift-Left Integration YesIntegrates seamlessly into existing CI/CD pipelines.Comprehensive Coverage YesCovers 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
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesLakera Red simulates real-world attacks.LLM Red Teaming YesAutomated and continuous LLM testing.Shift-Left Integration YesIntegrates with development workflows.Comprehensive Coverage YesCovers 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
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesSpecializes in AI-specific security risks.LLM Red Teaming YesCovers GenAI runtime security.Shift-Left Integration YesSecures the AI development lifecycle.Comprehensive Coverage YesEnd-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
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesExpert-led AI red-teaming.LLM Red Teaming YesSpecializes in testing generative AI.Shift-Left Integration YesTests are integrated into the SDLC.Comprehensive Coverage YesAudits 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
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.
FeatureYes/NoSpecificationAdversarial AI Testing NoFocus is primarily on prompt injection.LLM Red Teaming YesSpecializes in LLM and agentic AI.Shift-Left Integration NoFocus is on testing, not full SDLC integration.Comprehensive Coverage NoHighly 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
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesProvides automated risk assessments and red teaming.LLM Red Teaming YesSpecializes in testing GenAI assistants and agents.Shift-Left Integration YesIntegrates into the CI/CD pipeline.Comprehensive Coverage YesCovers 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
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesLeverages a community of security researchers.LLM Red Teaming YesOffers managed services for LLM testing.Shift-Left Integration YesProvides a platform for vulnerability management.Comprehensive Coverage YesCovers 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
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.
FeatureYes/NoSpecificationAdversarial AI Testing YesResearch-driven and highly technical.LLM Red Teaming YesConducts in-depth security assessments.Shift-Left Integration YesSupports secure software development.Comprehensive Coverage YesSpecializes 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.
The post Top 10 Best AI Penetration Testing Companies in 2025 appeared first on Cyber Security News.
