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AISec Platform

The most comprehensive security platform for AI

The Challenges

AI and Agentic are the New Targets

Threat actors  now target not only GenAI but also agentic systems, exposing them to prompt injection, IP theft, workflow hijacking, and malware. Insecure models and autonomous agents—vulnerable to shadow tool use, unsafe plug-ins, and supply chain compromises—intensify these risks. Without proper inspection and runtime protection, AI applications become entry points that expand the attack surface across the entire organization.

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Risks to Generative AI

Generative AI introduces unique exposures. Threat actors are actively exploiting LLMs through data poisoning, inference attacks, and model extraction—seeking to steal intellectual property, corrupt outputs, cause system failures, and even use production AI to generate malware within enterprise networks. HiddenLayer’s Threat Landscape Report shows these risks are rapidly escalating across industries.

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Threats to Agentic AI

Autonomous agents face escalating risks: indirect prompt injection, memory corruption, and malicious tool execution can redirect decision-making, leak sensitive data, or turn your agents into powerful inside threats directed by external actors.  These all cause reputational harm, financial loss, operational downtime, and legal challenges. For more examples, see our research on structuring transparency for agentic AI and governing agentic AI.

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Lack of Protection

Failure to monitor, govern, and proactively secure AI systems leaves organizations vulnerable to these risks.  A comprehensive, platform-led approach is essential to keep AI innovation safe from current and emerging threats.

Our Approach

Security for the Entire AI Lifecycle

HiddenLayer’s AI Security Platform unifies supply chain security, runtime defense, posture management, and automated red teaming to protect agentic, generative, and predictive AI systems.

By preventing prompt injection, data leakage, model tampering, and agent abuse, we safeguard your IP and reputation while covering your compliance requirements. HiddenLayer’s AI security platform accelerates secure AI innovation and deployment with confidence at enterprise scale.

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Accelerate Adoption

Fast, Flexible Deployment for Agentic, Generative, and Predictive AI Systems

Deploy in minutes—not days. HiddenLayer’s AI Security Platform can be deployed as SaaS, hybrid, or on-premises, with out-of-the-box support for leading LLMs and agent frameworks including OpenAI, Anthropic, Azure, GCP, Meta, Mistral, and AWS Bedrock.

AI Detection & Response
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Detect and Respond

Unified Protection for Every AI Application

HiddenLayer is the only cybersecurity platform that continuously monitors, detects, and stops adversarial threats before they reach your infrastructure—covering agentic, generative, and predictive AI systems.

Learn More
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Protect Your Digital Supply Chain

Automated Agent & Model Scanning

Accelerate innovation confidently by ensuring the safety of  pre-trained model repositories. HiddenLayer’s AI Security Platform integrates seamlessly into CI/CD pipelines to deliver transparent, automated scanning of models and agent artifacts, preventing hidden vulnerabilities and malware from entering production.

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Defend your AI applications without compromising speed, efficacy, and safety.

Learn more about what HiddenLayer’s AI Security Platform can offer.

Get Datasheets

97%

of IT leaders say securing AI is a top priority for their company

77%

of companies have identified breaches to their AI this year

According to recent HiddenLayer research

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.

  • Excessive Agency Control — Governs agent outputs and tool use to prevent backend exposure, privilege escalation, or unsafe execution.
  • Model Theft Prevention — Protects proprietary models and intellectual property by blocking inference and reconnaissance attempts.
  • Model Integrity — Ensures trust by identifying tampering or corruption in model layers, components, and tensors before outcomes are compromised.
  • Malware Analysis — Detects hidden malicious code in AI models before it can act as an infection vector or launchpad for broader attacks.
  • Prompt Injection Defense — Prevents adversarial manipulation across inputs, outputs, and memory to keep models and agent workflows secure.
  • Data Leakage Protection — Safeguards PII, sensitive datasets, and contextual information to reduce breach risk and protect enterprise reputation.

The Latest From HiddenLayer

Read more in our full research section or sign up for our occasional email newsletter and we’ll make sure you’re first in the know.

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Integrating AI Security into the SDLC

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Top 5 AI Threat Vectors in 2025

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How can we secure your AI?

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

Book a demo Contact Us

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.

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