HiddenLayer in the News
See how our research, leadership, and innovations are shaping the global conversation on AI security.
min read
HiddenLayer Releases the 2026 AI Threat Landscape Report, Spotlighting the Rise of Agentic AI and the Expanding Attack Surface of Autonomous Systems
HiddenLayer secures agentic, generative, and predictAutonomous agents now account for more than 1 in 8 reported AI breaches as enterprises move from experimentation to production.
March 18, 2026 – Austin, TX – HiddenLayer, the leading AI security company protecting enterprises from adversarial machine learning and emerging AI-driven threats, today released its 2026 AI Threat Landscape Report, a comprehensive analysis of the most pressing risks facing organizations as AI systems evolve from assistive tools to autonomous agents capable of independent action.
Based on a survey of 250 IT and security leaders, the report reveals a growing tension at the heart of enterprise AI adoption: organizations are embedding AI deeper into critical operations while simultaneously expanding their exposure to entirely new attack surfaces.
While agentic AI remains in the early stages of enterprise deployment, the risks are already materializing. One in eight reported AI breaches is now linked to agentic systems, signaling that security frameworks and governance controls are struggling to keep pace with AI’s rapid evolution. As these systems gain the ability to browse the web, execute code, access tools, and carry out multi-step workflows, their autonomy introduces new vectors for exploitation and real-world system compromise.
“Agentic AI has evolved faster in the past 12 months than most enterprise security programs have in the past five years,” said Chris Sestito, CEO and Co-founder of HiddenLayer. “It’s also what makes them risky. The more authority you give these systems, the more reach they have, and the more damage they can cause if compromised. Security has to evolve without limiting the very autonomy that makes these systems valuable.”
Other findings in the report include:
AI Supply Chain Exposure Is Widening
- Malware hidden in public model and code repositories emerged as the most cited source of AI-related breaches (35%).
- Yet 93% of respondents continue to rely on open repositories for innovation, revealing a trade-off between speed and security.
Visibility and Transparency Gaps Persist
- Over a third (31%) of organizations do not know whether they experienced an AI security breach in the past 12 months.
- Although 85% support mandatory breach disclosure, more than half (53%) admit they have withheld breach reporting due to fear of backlash, underscoring a widening hypocrisy between transparency advocacy and real-world behavior.
Shadow AI Is Accelerating Across Enterprises
- Over 3 in 4 (76%) of organizations now cite shadow AI as a definite or probable problem, up from 61% in 2025, a 15-point year-over-year increase and one of the largest shifts in the dataset.
- Yet only one-third (34%) of organizations partner externally for AI threat detection, indicating that awareness is accelerating faster than governance and detection mechanisms.
Ownership and Investment Remain Misaligned
- While many organizations recognize AI security risks, internal responsibility remains unclear with 73% reporting internal conflict over ownership of AI security controls.
- Additionally, while 91% of organizations added AI security budgets for 2025, more than 40% allocated less than 10% of their budget on AI security.
“One of the clearest signals in this year’s research is how fast AI has evolved from simple chat interfaces to fully agentic systems capable of autonomous action,” said Marta Janus, Principal Security Researcher at HiddenLayer. “As soon as agents can browse the web, execute code, and trigger real-world workflows, prompt injection is no longer just a model flaw. It becomes an operational security risk with direct paths to system compromise. The rise of agentic AI fundamentally changes the threat model, and most enterprise controls were not designed for software that can think, decide, and act on its own.”
What’s New in AI: Key Trends Shaping the 2026 Threat Landscape
Over the past year, three major shifts have expanded both the power, and the risk, of enterprise AI deployments:
- Agentic AI systems moved rapidly from experimentation to production in 2025. These agents can browse the web, execute code, access files, and interact with other agents—transforming prompt injection, supply chain attacks, and misconfigurations into pathways for real-world system compromise.
- Reasoning and self-improving models have become mainstream, enabling AI systems to autonomously plan, reflect, and make complex decisions. While this improves accuracy and utility, it also increases the potential blast radius of compromise, as a single manipulated model can influence downstream systems at scale.
- Smaller, highly specialized “edge” AI models are increasingly deployed on devices, vehicles, and critical infrastructure, shifting AI execution away from centralized cloud controls. This decentralization introduces new security blind spots, particularly in regulated and safety-critical environments.
The report finds that security controls, authentication, and monitoring have not kept pace with this growth, leaving many organizations exposed by default.
HiddenLayer’s AI Security Platform secures AI systems across the full AI lifecycle with four integrated modules: AI Discovery, which identifies and inventories AI assets across environments to give security teams complete visibility into their AI footprint; AI Supply Chain Security, which evaluates the security and integrity of models and AI artifacts before deployment; AI Attack Simulation, which continuously tests AI systems for vulnerabilities and unsafe behaviors using adversarial techniques; and AI Runtime Security, which monitors models in production to detect and stop attacks in real time.
Access the full report here.
About HiddenLayer
ive AI applications across the entire AI lifecycle, from discovery and AI supply chain security to attack simulation and runtime protection. Backed by patented technology and industry-leading adversarial AI research, our platform is purpose-built to defend AI systems against evolving threats. HiddenLayer protects intellectual property, helps ensure regulatory compliance, and enables organizations to safely adopt and scale AI with confidence.
Contact
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com
min read
HiddenLayer Awarded AFWERX STTR Phase II Contract to Accelerate USA Department of Defense Security Adoption
“The opportunity to extend the use of our AISec Platform to secure the US Department of Defense’s most critical models, while also accelerating commercialization in the private sector, is a significant milestone for HiddenLayer,” said Chris "Tito" Sestito, Co-Founder and CEO of HiddenLayer. “We are honored to collaborate with AFWERX and researchers at the University at Buffalo to advance research on adversarial AI attack methods, further driving our mission to help enterprises protect their most valuable technology.”
Program includes research collaboration with the University at Buffalo
AUSTIN, Texas - April 9, 2024 - HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, today announced it has been selected by AFWERX for a STTR Phase II contract in the amount of $1.8MM focused on AI Detection & Response to address the most pressing challenges in the Department of the Air Force (DAF). The Air Force Research Laboratory and AFWERX have partnered to streamline the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) process by accelerating the small business experience through faster proposal to award timelines, changing the pool of potential applicants by expanding opportunities to small business and eliminating bureaucratic overhead by continually implementing process improvement changes in contract execution. The DAF began offering the Open Topic SBIR/STTR program in 2018 which expanded the range of innovations the DAF funded and as of February 9, 2024, HiddenLayer began its journey to create and provide innovative capabilities that will strengthen the national defense of the United States of America.
“The opportunity to extend the use of our AISec Platform to secure the US Department of Defense’s most critical models, while also accelerating commercialization in the private sector, is a significant milestone for HiddenLayer,” said Chris "Tito" Sestito, Co-Founder and CEO of HiddenLayer. “We are honored to collaborate with AFWERX and researchers at the University at Buffalo to advance research on adversarial AI attack methods, further driving our mission to help enterprises protect their most valuable technology.”
The views expressed are those of the author and do not necessarily reflect the official policy or position of the Department of the Air Force, the Department of Defense, or the U.S. government.
About HiddenLayer
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.
About Air Force Research Laboratory (AFRL)
The Air Force Research Laboratory is the primary scientific research and development center for the Department of the Air Force. AFRL plays an integral role in leading the discovery, development, and integration of affordable warfighting technologies for our air, space and cyberspace force. With a workforce of more than 12,500 across nine technology areas and 40 other operations across the globe, AFRL provides a diverse portfolio of science and technology ranging from fundamental to advanced research and technology development. For more information, visit www.afresearchlab.com.
About AFWERX
As the innovation arm of the DAF and a directorate within the Air Force Research Laboratory, AFWERX brings cutting-edge American ingenuity from small businesses and start-ups to address the most pressing challenges of the DAF. AFWERX employs approximately 325 military, civilian and contractor personnel at six hubs and sites executing an annual $1.4 billion budget. Since 2019, AFWERX has executed 4,697 contracts worth more than $2.6 billion to strengthen the U.S. defense industrial base and drive faster technology transition to operational capability. For more information, visit: www.afwerx.com.
Contact
David Sack
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com
min read
HiddenLayer Adds AI Detection & Response for Generative AI
HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, today announced the launch of its latest product: AI Detection & Response for Generative AI. The new capability comes as part of HiddenLayer’s award-winning platform, formerly known as MLDR, extending HiddenLayer’s end-to-end security to organizations deploying LLM-based applications.
Expanding AISec Platform to Facilitate Adoption of LLMs with Enterprise-Grade Security
AUSTIN, Texas - March 19, 2024 - HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, today announced the launch of its latest product: AI Detection & Response for Generative AI. The new capability comes as part of HiddenLayer’s award-winning platform, formerly known as MLDR, extending HiddenLayer’s end-to-end security to organizations deploying LLM-based applications.
HiddenLayer's AI Detection & Response for Generative AI provides a set of security controls that enable real-time monitoring, detection, and response to threats specific to LLMs. The system supports a majority of LLMs, including GPT-X, LlaMa, Mistral, and internally built LLMs out-of-the-box, and allows for the interception of traffic to and from LLM applications, offering the capability to block harmful transactions or generate alerts for security teams to take necessary actions. This ensures that LLM deployments can be managed securely, mitigating the risk of data leaks, malicious use, and other abuses.
“HiddenLayer's AI Detection & Response allows organizations to responsibly navigate the risks associated with Generative AI, facilitating safe adoption of AI across industries,” said Chris "Tito" Sestito, Co-Founder and CEO of HiddenLayer. “By empowering CISOs and security leaders to bring Generative AI technologies to their organizations with responsible controls, this launch stands as the latest step in our mission to help enterprises protect their most valuable technology.”
The launch comes on the heels of the release of HiddenLayer’s AI Threat Landscape Report, which found that AI adoption continues to accelerate without proper security measures. With 98% of surveyed companies considering at least some of their AI models crucial to their business success, and 77% identifying breaches to their AI in the past year, the need to protect and secure all forms of AI is clear.
HiddenLayer’s AI Detection & Response fortifies organizations’ generative AI deployments against unauthorized access, infiltration attempts, and intellectual property theft - all while delivering real-time protection. The platform is automated, enabling it to recognize real-time attacks and respond to generative AI model breach attempts with speed, and can be easily deployed and integrated into existing MLOps frameworks and security tools in minutes, not days. Furthermore, the platform is scalable, providing clear reporting on detected threats, empowering security teams with insights into adversarial behavior.
Organizations leveraging HiddenLayer’s AI Detection & Response will see the following outcomes:
- Immediate and continuous real-time protection against cyber threats as outlined in 3rd party frameworks, including MITRE ATLAS and LLM OWASP.
- Unleashed innovation, enabling the quick deployment of models into production, while proactively mitigating cybersecurity risks in real-time as part of the MLOps Lifecycle, ensuring a secure and efficient workflow.
- Assistance in maintaining compliance as safeguards against threats that could result in regulatory issues.
- An organization empowered to safely and securely embrace modernization through the transformative capabilities of generative AI.
Learn more about HiddenLayer’s AI Detection & Response for Generative AI capability here.
About HiddenLayer
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, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.
Contact
David Sack
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com
min read
HiddenLayer AI Threat Landscape Report Finds That 77% of Companies Identified Breaches to Their AI in the Past Year
HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, today released its inaugural AI Threat Landscape Report highlighting the pervasive use of AI and the risks involved in its deployment. Nearly all surveyed companies, 98%, consider at least some of their AI models crucial to their business success, and 77% identified breaches to their AI in the past year. Yet only 14% of IT leaders said their respective companies are planning and testing for adversarial attacks on AI models.
Survey of security leaders shows AI adoption is accelerating without proper security measures
AUSTIN, Texas - March 6, 2024 - HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, today released its inaugural AI Threat Landscape Report highlighting the pervasive use of AI and the risks involved in its deployment. Nearly all surveyed companies, 98%, consider at least some of their AI models crucial to their business success, and 77% identified breaches to their AI in the past year. Yet only 14% of IT leaders said their respective companies are planning and testing for adversarial attacks on AI models.
The report surveyed 150 IT security and data science leaders to shed light on the biggest vulnerabilities impacting AI today, their implications on commercial and federal organizations, and cutting-edge advancements in security controls for AI in all its forms.
The survey uncovered AI’s widespread utilization by today’s businesses as companies have, on average, a staggering 1,689 AI models in production. In response, security for AI has become a priority, with 94% of IT leaders allocating budgets to secure their AI in 2024. Yet only 61% are highly confident in their allocation, and 92% are still developing a comprehensive plan for this emerging threat. These findings reveal the need for support in implementing security for AI.
“AI is the most vulnerable technology ever to be deployed in production systems,” said Chris "Tito" Sestito, Co-Founder and CEO of HiddenLayer. “The rapid emergence of AI has resulted in an unprecedented technological revolution, of which every organization in the world is affected. Our first-ever AI Threat Landscape Report reveals the breadth of risks to the world’s most important technology. HiddenLayer is proud to be on the front lines of research and guidance around these threats to help organizations navigate the security for AI landscape.”
Risks Involved with AI Use
Adversaries can leverage a variety of methods to utilize AI to their advantage. The most common risks of AI usage include:
- Manipulation to give biased, inaccurate, or harmful information.
- Creation of harmful content, such as malware, phishing, and propaganda.
- Development of deep fake images, audio, and video.
- Leveraged by malicious actors to provide access to dangerous or illegal information.
Common Types of Attacks on AI
There are three major types of attacks on AI:
- Adversarial Machine Learning Attacks target AI algorithms, aimed to alter AI’s behavior, evade AI-based detection, or steal the underlying technology.
- Generative AI System Attacks threaten AI’s filters and restrictions, intended to generate content deemed harmful or illegal.
- Supply Chain Attacks attack ML artifacts and platforms with the intention of arbitrary code execution and delivery of traditional malware.
Challenges to Securing AI
While industries are reaping the benefits of increased efficiency and innovation thanks to AI, many organizations do not have proper security measures in place to ensure safe use. Some of the biggest challenges reported by organizations in securing their AI include:
- Shadow IT: 61% of IT leaders acknowledge shadow AI, solutions that are not officially known or under the control of the IT department, as a problem within their organizations.
- Third-Party AIs: 89% express concern about security vulnerabilities associated with integrating third-party AIs, and 75% believe third-party AI integrations pose a greater risk than existing threats.
Best Practices for Securing AI
HiddenLayer has outlined recommendations for organizations to begin securing their AI, including:
- Discovery and Asset Management: Begin by identifying where AI is already used in your organization. What applications has your organization already purchased that use AI or have AI-enabled features?
- Risk Assessment and Threat Modeling: Perform threat modeling to understand the potential vulnerabilities and attack vectors that could be exploited by malicious actors to complete your understanding of your organization’s AI risk exposure.
- Data Security and Privacy: Go beyond the typical implementation of encryption, access controls, and secure data storage practices to protect your AI model data. Evaluate and implement security solutions that are purpose-built to provide runtime protection for AI models.
- Model Robustness and Validation: Regularly assess the robustness of AI models against adversarial attacks. This involves pen-testing the model's response to various attacks, such as intentionally manipulated inputs.
- Secure Development Practices: Incorporate security into your AI development lifecycle. Train your data scientists, data engineers, and developers on the various attack vectors associated with AI.
- Continuous Monitoring and Incident Response: Implement continuous monitoring mechanisms to detect anomalies and potential security incidents in real-time for your AI, and develop a robust AI incident response plan to quickly and effectively address security breaches or anomalies.
HiddenLayer’s products and services accelerate the process of securing AI, with its AISec Platform providing a comprehensive AI security solution that ensures the integrity and safety of models throughout an organization's MLOps pipeline. HiddenLayer also provides its Machine Learning Detection & Response (MLDR), which enables organizations to automate and scale the protection of AI models and ensure their security in real-time, and its Model Scanner, which enables companies to evaluate the security and integrity of their ML artifacts before deploying them.
For more information, view the full report here.
About HiddenLayer
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, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.
Contact
David Sack
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com
min read
HiddenLayer with OpenPolicy Announces Participation in the Department of Commerce Consortium Dedicated to AI Safety
HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, announced that via the OpenPolicy AI Coalition, it joins in the participation of more than 200 of the nation’s leading artificial intelligence (AI) stakeholders to participate in a Department of Commerce initiative to support the development and deployment of trustworthy and safe AI. Established by the Department of Commerce’s National Institute of Standards and Technology (NIST), the U.S. AI Safety Institute Consortium (AISIC) will bring together AI creators and users, academics, government and industry researchers, and civil society organizations to meet this mission.
HiddenLayer, alongside OpenPolicy AI Coalition members, is excited to partner with the NIST U.S. AI Safety Institute Consortium (AISIC).
AUSTIN, Texas - February 8, 2024 - Today HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, announced that via the OpenPolicy AI Coalition, it joins in the participation of more than 200 of the nation’s leading artificial intelligence (AI) stakeholders to participate in a Department of Commerce initiative to support the development and deployment of trustworthy and safe AI. Established by the Department of Commerce’s National Institute of Standards and Technology (NIST), the U.S. AI Safety Institute Consortium (AISIC) will bring together AI creators and users, academics, government and industry researchers, and civil society organizations to meet this mission.
“We proudly join the NIST Artificial Intelligence Safety Institute Consortium alongside a coalition of AI innovators brought together by OpenPolicy, supporting the trusted deployment of AI and advancing the administration’s policy goals,” said Chris Sestito, CEO & Co-Founder, HiddenLayer. “Our mission to provide the most comprehensive security solution for AI is rooted in our commitment to protect government, industry, and society at large from all emerging AI threats.”
“OpenPolicy and its coalition of innovative AI companies are honored to take part in AISIC. The launch of the U.S. Artificial Intelligence Safety Institute is a necessary step forward in ensuring the trusted deployment of AI, and achieving the administration’s AI policy goals,” said Dr. Amit Elazari, CEO and Co-Founder, OpenPolicy. “Supporting the trusted deployment and development of AI entails supporting the development of cutting-edge innovative solutions needed to protect government, industry, and society from emerging AI threats. Innovative companies stand at the forefront of developing leading security, safety, and trustworthy AI and privacy solutions, and these are the communities we represent. Our AI coalition is committed to supporting the U.S. government and implementing agencies in this effort and will provide research, frameworks, benchmarks, policy support, and tooling to advance the trusted deployment and development of AI.”
“The U.S. government has a significant role to play in setting the standards and developing the tools we need to mitigate the risks and harness the immense potential of artificial intelligence. President Biden directed us to pull every lever to accomplish two key goals: set safety standards and protect our innovation ecosystem. That’s precisely what the U.S. AI Safety Institute Consortium is set up to help us do,” said Secretary Raimondo. “Through President Biden’s landmark Executive Order, we will ensure America is at the front of the pack – and by working with this group of leaders from industry, civil society, and academia, together we can confront these challenges to develop the measurements and standards we need to maintain America’s competitive edge and develop AI responsibly.”
The consortium includes more than 200 member companies and organizations that are on the frontlines of developing and using AI systems, as well as the civil society and academic teams that are building the foundational understanding of how AI can and will transform our society. These entities represent the nation’s largest companies and innovative startups; creators of the world’s most advanced AI systems and hardware; key members of civil society and the academic community; and representatives of professions with deep engagement in AI’s use today. The consortium also includes state and local governments, as well as non-profits. The consortium will also work with organizations from like-minded nations that have a key role to play in setting interoperable and effective safety around the world.
The full list of consortium participants is available here.
About HiddenLayer
HiddenLayer, a Gartner-recognized AI Application Security company, helps enterprises safeguard the machine learning models behind their most important products with a comprehensive security platform. Only HiddenLayer offers turnkey security for AI that does not add unnecessary complexity to models and does not require access to raw data and algorithms. Founded in March of 2022 by experienced security and ML professionals, HiddenLayer is based in Austin, Texas. For additional information, including product updates and the latest research reports, visit www.hiddenlayer.com.
Contacts
Hannah Williams
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com
min read
HiddenLayer Appoints Chloé Messdaghi as Head of Threat Intelligence
HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, has welcomed Chloé Messdaghi as its Head of Threat Intelligence. She is focused on sharing the latest Security for AI research, building bridges between ML developers, Security Researchers, Data Scientists, and the CISO communities, and driving growth of the Security for AI category through education.
Messdaghi Brings Proven Expertise and Diverse Background to Elevate Security Practices
AUSTIN, Texas, Jan. 30, 2024 -- HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, has welcomed Chloé Messdaghi as its Head of Threat Intelligence. She is focused on sharing the latest Security for AI research, building bridges between ML developers, Security Researchers, Data Scientists, and the CISO communities, and driving growth of the Security for AI category through education.
Messdaghi brings with her a proven track record of advising and developing solutions and strategies that have driven vast improvements in security teams. She has extensive knowledge of the industry, coming from multiple tenures in security-based roles, including within security for AI. With a background in politics, working for the Office of Governor Arnold Schwarzenegger, and as a volunteer for the United Nations, Messdaghi brings a unique perspective to the job.
"We are thrilled to bring Chloé on to drive growth not only for HiddenLayer but the category as a whole," said Chris Sestito, Co-Founder and Chief Executive Officer at HiddenLayer. “Her ability to tap into the MLOps community and drive growth will be invaluable to the HiddenLayer mission.”
Messdaghi has won numerous awards during her career, including Cybersecurity Woman of the Year, Cybersecurity Advocate of the Year, and has been named a Power Player in the Cybersecurity industry by both SC Media's Women in IT Security and Business Insider. She serves as a board member for The Diana Initiative and is an Advisory Board Member for the Election Security Research Forum.
"I am incredibly excited to join HiddenLayer and expand my ability to truly impact the security for AI category," said Messdaghi. "With this new role, I will be able to accelerate AI/ML adoption in a proactive and sustainable way by interacting with the communities at every stage of the ML Ops Lifecycle.”
Her research, op-eds, and commentary have been featured in numerous outlets, including Forbes, Business Insider, Bloomberg, and TechRepublic. She holds a bachelor's degree in international relations from the University of California at Davis and a MSc in Politics from the University of Edinburgh.
About HiddenLayer
HiddenLayer, a Gartner-recognized AI Application Security company, helps enterprises safeguard the machine learning models behind their most important products with a comprehensive security platform. Only HiddenLayer offers turnkey security for AI that does not add unnecessary complexity to models and does not require access to raw data and algorithms. Founded in March of 2022 by experienced security and ML professionals, HiddenLayer is based in Austin, Texas. For additional information, including product updates and the latest research reports, visit www.hiddenlayer.com.
Contacts
Hannah Williams
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com
Let’s Secure AI Together
Join HiddenLayer in shaping the standards, defenses, and future of AI security. Whether you’re a researcher, partner, or enterprise innovator, we’re stronger together.