AI Detection & Response

Securing Agentic and Generative AI Applications for Safe Adoption at Scale

Enable real-time monitoring, detection, and response against unique threats to agentic and generative AI applications

Ensure deployments remain secure by preventing data leaks, malicious use, and compliance risks, protecting enterprise IP and enabling safe adoption at scale.

The Challenges

Securing Agentic and Generative AI Applications for Safe Adoption at Scale

In the fast-paced world of agentic and GenAI systems, adversaries are innovating faster than traditional defenses. Real-time protection requires purpose-built measures to stop emerging attack techniques before they disrupt operations. At the same time, enterprises must navigate evolving AI security frameworks and compliance mandates. Balancing innovation with security, governance, and compliance is essential to securely deploying AI across all use cases—preserving customer trust, meeting regulatory requirements, and accelerating adoption.

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Cyber Attacks

Agentic and GenAI applications face risks from prompt injection, indirect prompt injection, PII leakage, model tampering, memory corruption, tool misuse, inference attacks, and intellectual property theft. Left unchecked, these attacks undermine trust and expose organizations to material business risk.

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Integration Into MLOps

Security must integrate seamlessly into MLOps and DevSecOps workflows so that Data Scientists and AI Engineers can adopt protections without friction—enabling security at scale.

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Deployment Risks

Unsecured deployments—whether agentic or GenAI applications—can result in regulatory penalties, compliance failures, and reputational damage. Beyond legal exposure, downtime and erratic outputs can cause costly operational disruption across the enterprise.

Our Approach

Intercept. Secure. Scale.

HiddenLayer’s AI Detection & Response secures the adoption of agentic and generative AI applications by integrating directly with your existing security infrastructure. It scales protection across autonomous workflows and LLMs—delivering real-time visibility, detection, and response without exposing proprietary model data or disrupting operations.

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Real-time Protection

Continuous Assurance

Blocks prompt injection, PII leakage, malicious agent behavior, and privilege escalation, ensuring enterprise resilience and protecting critical IP.

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Threat Mitigation

Remain Proactive

Continuously mitigates risks across the MLOps lifecycle, with alerts mapped to MITRE ATLAS and OWASP LLM standards, accelerating remediation and reducing operational risk.

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Regulatory Compliance

Ensure Integrity

Supports leading LLM’s and agent frameworks (OpenAI, Anthropic, Azure, GCP, Meta, Mistral, and AWS Bedrock) out-of-the-box—aligning with governance frameworks like NIST, EU AI Act, ISO 42001, and Fed standards to streamline audits and compliance.

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Provide real-time cyber protection for agentic and generative AI applications, safeguarding against prompt injection, PII leakage, evasion, and model theft to protect IP, compliance, and enterprise operations.

Discover how AI Detection & Response secures your AI applications.

On average, companies have

1,689 models

in production

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 autonomous agent actions to prevent unsafe execution, privilege escalation, or backend exposure.
Model Theft Prevention — Blocks reconnaissance and inference-based extraction attempts, safeguarding intellectual property and competitive advantage.
Model Tampering Protection — Detects and prevents unauthorized changes to model layers or components, preserving integrity and trusted outcomes.

Data Poisoning Defense — Stops adversaries from corrupting training or inference data, protecting accuracy, compliance, and decision quality.
Advanced Detection — Leverages supervised, unsupervised, behavioral, and static analysis to identify adversarial AI attacks across the industry’s most comprehensive and continuously evolving threat library.
Prompt Injection Defense — Prevents malicious inputs and context manipulation from hijacking agent workflows and LLM applications, ensuring safe interactions.

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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.