HiddenLayer 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.
Artificial intelligence is the fastest-growing technology we have ever seen, but because of this, it is the most vulnerable.
To help understand the evolving cybersecurity environment, we developed HiddenLayer’s 2024 AI Threat Landscape Report as a practical guide to understanding the security risks that can affect any and all industries and to provide actionable steps to implement security measures at your organization.
The cybersecurity industry is working hard to accelerate AI adoption — without having the proper security measures in place. For instance, did you know:
of IT leaders consider their AI models crucial to business success
of companies have already faced AI breaches
are working on strategies to tackle this emerging threat
AI Threat Landscape Report Webinar
You can watch our recorded webinar with our HiddenLayer team and industry experts to dive deeper into our report’s key findings. We hope you find the discussion to be an informative and constructive companion to our full report.
We provide insights and data-driven predictions for anyone interested in Security for AI to:
- Understand the adversarial ML landscape
- Learn about real-world use cases
- Get actionable steps to implement security measures at your organization
We invite you to join us in securing AI to drive innovation. What you’ll learn from this report:
- Current risks and vulnerabilities of AI models and systems
- Types of attacks being exploited by threat actors today
- Advancements in Security for AI, from offensive research to the implementation of defensive solutions
- Insights from a survey conducted with IT security leaders underscoring the urgent importance of securing AI today
- Practical steps to getting started to secure your AI, underscoring the importance of staying informed and continually updating AI-specific security programs