Automated
Red Teaming
for AI

Identify threats early and validate defenses continuously to safeguard agentic and generative AI applications at scale.

Continuously identify and remediate vulnerabilities in agentic and generative AI systems before adversaries strike

Automated testing at scale uncovers weaknesses across prompts, models, and workflows, enabling security teams to harden defenses, accelerate deployment, and maintain compliance without slowing innovation.

The Challenges

Staying Ahead of AI-Specific Threats

AI introduces entirely new attack surfaces—from agentic decision-making risks to GenAI prompt injection —that demand defense strategies beyond traditional security. Red teaming is essential for uncovering hidden vulnerabilities, but manual testing is costly, time-consuming, and difficult to scale. Security teams need a faster, automated way to continuously test, validate, and secure AI applications without delaying innovation.

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Attack Surfaces

From data poisoning and model extraction to agentic system manipulation, AI applications introduce new vulnerabilities that traditional security approaches cannot address.

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Scalability Gaps

To remain effective, red teaming must keep up with rapidly evolving AI innovation and threats. Security leaders need continuous, automated testing that scales as fast as AI adoption itself.

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Blocked Innovation

Without automated validation, organizations risk delayed launches, reputational damage, and compliance failures — while competitors innovate with confidence.

Our Approach

Simulate. Remediate. Evolve.

HiddenLayer’s Automated Red Teaming for AI delivers one-click, expert-level adversarial testing for agentic systems and generative AI. Built on our patented adversarial research and trusted by US federal agencies and large enterprises alike, it simulates real-world attack techniques with zero lead time. Security teams receive detailed, actionable reports to identify, remediate, and document risks—aligned to OWASP standards. Continuous, automated testing strengthens defenses and reduces risk without slowing innovation.

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Expert
Simulations

Automated Red Teaming for AI leverages HiddenLayer’s patented adversarial research and red team expertise to simulate sophisticated, real-world attacks on agentic and generative AI applications. By mirroring adversary tactics, it reveals vulnerabilities early, helping enterprises to harden defenses before they are exploited.

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Fast
Deployment

With one-click setup and configurable test sets, Automated Red Teaming for AI integrates quickly into existing workflows. Security teams can continuously validate AI defenses without delays, accelerating safe adoption of agentic and generative AI applications.

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Compliance-Ready Reporting

Comprehensive reports map findings to OWASP categories, delivering auditable, actionable insights into vulnerabilities and fixes. These reports support strong governance, regulatory compliance, simplify audits, and demonstrate measurable security improvements over time.

OWASP Top 10 for LLM Applications 2025

AutoRT_OWASPCoverage2025

hidden layer automated red teaming dashboard

Discover how Automated Red Teaming uncovers threats early and ensures safe AI adoption.

Why HiddenLayer

The most comprehensive security platform for AI

HiddenLayer, a Gartner-recognized AI Security company, is the only platform purpose-built to secure AI models and autonomous agents alike. Covering agentic, generative, and predictive AI applications, HiddenLayer protects the world’s most valuable technologies across the entire lifecycle—ensuring compliance, safeguarding IP, and strengthening enterprise resilience, while aligning with leading frameworks such as NIST RMF, MITRE ATLAS, ISO 42001, and the EU AI Act.

Collaborative Test Development — Red and blue teams collaborate to create targeted attack scenarios informed by real system architecture, ensuring realistic simulations that improve resilience and reduce blind spots.
Progress Tracking & Metrics — Automated testing provides continuous visibility into security posture, enabling measurable improvements, executive reporting, and shared accountability across security and AI teams.
Regularly Scheduled Scans — Continuous testing identifies new vulnerabilities early in the lifecycle, reducing exposure windows and lowering the risk of costly breaches or compliance failures.

Ad Hoc Scans — On-demand scans can be triggered for new deployments, system changes, or emerging threats, ensuring rapid response to evolving risks.
Scale to Support AI Innovation — Automated Red Teaming for AI expands seamlessly with your agentic and generative AI footprint, delivering consistent protection and compliance as AI adoption accelerates.

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How can we secure your AI?

Start by requesting your demo and let’s discuss protecting your unique AI advantage.

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HiddenLayer, a Gartner-recognized Cool Vendor for AI Security, is the leading provider of Security for AI. Its AISec Platform unifies supply chain security, runtime defense, posture management, and automated red teaming to protect agentic, generative, and predictive AI applications. The platform enables organizations across the private and public sectors to reduce risk, ensure compliance, and adopt AI with confidence.

Founded by a team of cybersecurity and machine learning veterans, HiddenLayer combines patented technology with industry-leading research to defend against prompt injection, adversarial manipulation, model theft, and supply chain compromise. The company is backed by strategic investors including M12 (Microsoft’s Venture Fund), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.