• Platform
    • AISec Platform
    • Automated Red Teaming for AI
    • AI Detection & Response
    • Model Scanner
  • Solutions
    • Finance
    • Public Sector
    • Tech
  • Services
  • Learn
    • Innovation Hub
    • Insights
    • Research
    • Reports and Guides
    • SAI Security Advisory
  • Partner
    • Go-To-Market Partner
    • Technology Alliance
    • Apply
  • Company
    • About
    • In the News
  • Book a Demo
  • Platform
    • AISec Platform
    • Automated Red Teaming for AI
    • AI Detection & Response
    • Model Scanner
  • Solutions
    • Finance
    • Public Sector
    • Tech
  • Services
  • Learn
    • Innovation Hub
    • Insights
    • Research
    • Reports and Guides
    • SAI Security Advisory
  • Partner
    • Go-To-Market Partner
    • Technology Alliance
    • Apply
  • Company
    • About
    • In the News
  • Book a Demo

Security for AI

Tech

Accelerating AI adoption

The Challenges

Accelerating AI Adoption While Mitigating Risks

For many organizations, the integration of AI, both generative and predictive, unlocks new opportunities but also introduces sophisticated security challenges. Protecting AI assets and corporate IP from breaches and unauthorized access is vital as cyber threats evolve. With the increasing complexity of adversarial attacks and the risk of AI model theft, robust defenses are no longer optional—they are imperative. Additionally, the need to balance effective security measures with operational efficiency presents ongoing challenges, demanding a relentless focus on innovation and real-time vigilance. Addressing these issues is crucial for maintaining the security and accelerating AI adoption.

gear and AI icon
Adoption of GenAI

The rapid integration of generative AI introduces risks such as the exploitation of AI-generated content and vulnerabilities in model training data, demanding proactive and comprehensive security measures

checklist with green checks icon
Navigating Regulations

In a landscape defined by ever-evolving data privacy and AI ethics regulations, managing compliance is not only challenging but resource-intensive — requiring precise strategies that align with legal frameworks while ensuring operational continuity

3D upward facing arrows
Scalability Confidence

Maintaining security and performance across expanding AI operations requires scalable, future-ready solutions that support growth without compromising efficiency.

Our Approach

Secure, Defend, & Automate

HiddenLayer’s AISec Platform is an AI Protection Suite that ensures the integrity of your models throughout the AIOps pipeline. By ensuring the security of pre-trained models, detecting malicious injections, and monitoring algorithm inputs and outputs for potential threats – The AISec Platform delivers an automated and scalable defense tailored for artificial intelligence

Hidden Layer AISEC platform logo
two crossed swords

Adversarial Attack Prevention

Real-time, adaptive protection against adversarial attacks, ensuring that whether your model is generative AI or predictive AI, it remains uncompromised from development to deployment.

government building with a green flag icon

AI Governance

Embed best practices and guidelines within your MLOps pipeline, reinforcing responsible AI development and deployment, ensuring governance is not just a checkbox but a cornerstone.

white boxes with a upwards diagonal arrow

Scalable Security Architecture

HiddenLayer’s AISec Platform is architected for scale, dynamically adapting to your growing AI operations while delivering enterprise-grade protection that evolves with your business.

AI has the potential to drive competitive advantage across the Tech industry, safeguarding your AI systems is mandatory

Learn More

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.
  • Protects against Gen AI Prompt injection — Protect LLMs from its 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

  • A Guide to AI Red Teaming
  • AI Model Scanner Accelerates Adoption
  • Risks Related to the Use of AI

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.

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.

Research 05.23.2025
Insights
05.23.2025

Behind the Build: HiddenLayer’s Hackathon

Read More
Insights
Research 05.20.2025
Research
05.20.2025

The AI Security Playbook

Read More
Research
Research 05.15.2025
Research
05.15.2025

Exploiting MCP Tool Parameters

Read More
Research

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 security platform helps enterprises safeguard the machine learning models behind their most important products. HiddenLayer is the only company to offer turnkey security for AI that does not add unnecessary complexity to models and does not require access to raw data and algorithms. Founded by a team with deep roots in security and ML, HiddenLayer aims to protect enterprise’s AI from inference, bypass, extraction attacks, and model theft. The company is backed by a group of strategic investors, including M12, Microsoft’s Venture Fund, Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.

Book a Demo
  • Platform
  • Solutions
  • Services
  • Learn
  • Partner
  • Company
  • Careers
  • Contact

© 2025 HiddenLayer

AICPA SOC logo

Security Privacy Policy  Vulnerability Disclosure Policy Sitemap 

  • Twitter
  • Linkedin
Scroll to top