Security for AI

Public Sector

Generative & Predictive AI Solutions for Compliance

The Challenges

Adapting to AI

Public sector operations are dynamic and are characterized by complex challenges. Protecting sensitive data from exposure and manipulation is critical as threats to AI evolve. Additionally, the high costs associated with data storage and processing strain budgets, demanding more cost-effective solutions. The complexity of integrating diverse systems prevents interoperability, creating data silos that prevent efficiency in day-to-day operations. Addressing these challenges is essential for the security of the public sector.

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Regulatory Compliance and Governance

Navigating the regulations governing data security and privacy, which public sector entities must adhere to

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Resource Allocation and Efficiency

Public sector budgets are often constrained, necessitating efficient use of resources

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Data Silos and Integration

Disparate systems can create data silos, hindering effective communication and data utilization across departments and agencies

Our Approach

Detect, Monitor & Secure

HiddenLayer’s AISec Platform is purpose-built to ensure the integrity of GenAI models throughout the MLOps pipeline for the public sector. The Platform provides detection and response for GenAI and traditional AI models, safeguarding against prompt injections, adversarial AI attacks, and digital supply chain vulnerabilities.

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Enhanced Security

Advanced protection for AI and ML infrastructure, mitigating the risk of data exposure and manipulation by malicious actors.

Examples include real-time security for AI models used in radio frequency, image classification, and GenAI across Defense and Civil Sector use cases.

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Reduced Manpower

Minimize operating manpower and decrease the reliance on specialized cybersecurity professionals, streamlining operations and fostering a more efficient use of resources.

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Interoperability

Connect between various systems and platforms, enabling AI-driven data caching and replication throughout tactical and strategic networks.

Examples include integration of HiddenLayer Model Scanner into existing CI/CD pipeline to ensure the the efficiencies of pre-trained models from public repositories.

Quotation Mark

It is important to manage the risks from the Federal Government’s own use of AI and increase its internal capacity to regulate, govern, and support responsible use of AI to deliver better results for Americans…

The Federal Government should lead the way to global societal, economic, and technological progress.”

Executive Order 14110 (Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence)

With the adoption of Artificial Intelligence significantly increasing, safeguarding the integrity of your AI assets is mandatory

Key Capabilities

Malware Analysis — Scans AI Models for embedded malicious code that could serve as an infection vector & launchpad for malware.
Model Integrity — Analysis of the AI Model’s layers, components & tensors to detect tampering or corruption.
Defends against Gen AI Prompt injection — Defend AI & Agentic applications from their inputs or outputs being deliberately changed.
Protects against Model Theft — Stop reconnaissance attempts through inference attacks, which could result in intellectual property being stolen.
Excessive Agency — Ensure GenAI outputs do not expose backend systems, risking privilege escalation or remote code execution.

Recent News

Why HiddenLayer

The Ultimate Security for AI Platform

HiddenLayer, a Gartner recognized AI Application Security company, is a provider of security solutions for artificial intelligence algorithms, models & the data that power them. With a first-of-its-kind, non-invasive software approach to observing & securing AI, HiddenLayer is helping to protect the world’s most valuable technologies.

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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.