HiddenLayer in the News
See how our research, leadership, and innovations are shaping the global conversation on AI security.
%20(1).webp)
min read
HiddenLayer Unveils New Agentic Runtime Security Capabilities for Securing Autonomous AI Execution
Austin, TX – March 23, 2026 – HiddenLayer, the leading AI security company, today announced the next generation of its AI Runtime Security module, introducing new capabilities designed to protect autonomous AI agents as they make decisions and take action. As enterprises increasingly adopt agentic AI systems, these capabilities extend HiddenLayer’s AI Runtime Security platform to secure what matters most in agentic AI: how agents behave and take actions.
The update introduces three core capabilities for securing agentic AI workloads:
• Agentic Runtime Visibility
• Agentic Investigation & Threat Hunting
• Agentic Detection & Enforcement
One in eight AI breaches are linked to agentic systems, according to HiddenLayer’s 2026 AI Threat Landscape Report. Each agent interaction expands the operational blast radius and introduces new forms of runtime risk. Yet most AI security controls stop at prompts, policies, or static permissions, and execution-time behavior remains largely unobserved and uncontrolled.
These new agentic security capabilities give security teams visibility into how agents execute. They enable them to detect and stop risks in multi-step autonomous workflows, including prompt injection, malicious tool calls, and data exfiltration before sensitive information is exposed.
“AI agents operate at machine speed. If they’re compromised, they can access systems, move data, and take action in seconds — far faster than any human could intervene,” said Chris Sestito, CEO of HiddenLayer. “That velocity changes the security equation entirely. Agentic Runtime Security gives enterprises the real-time visibility and control they need to stop damage before it spreads.”
With these new capabilities, security teams can:
- Gain complete runtime visibility into AI agent behavior — Reconstruct every session to see how agents interact with data, tools, and other agents, providing full operational context behind every action and decision.
- Investigate and hunt across agentic activity — Search, filter, and pivot across sessions, tools, and execution paths to identify anomalous behavior and uncover evolving threats. Validated findings can be easily operationalized into enforceable runtime policies, reducing friction between investigation and response.
- Detect and prevent multi-step agentic threats — Identify prompt injections, malicious tool calls, data exfiltration, and cascading attack chains unique to autonomous agents, ensuring real-time protection from evolving risks.
- Enforce adaptive security policies in real time — Automatically control agent access, redact sensitive data, and block unsafe or unauthorized actions based on context, keeping operations compliant and contained.
“As we expand the use of AI agents across our business, maintaining control and oversight is critical,” said Charles Iheagwara, AI/ML Security Leader at AstraZeneca. "Our goal is to have full scope visibility across all platforms and silos, so we’re focused on putting capabilities in place to monitor agent execution and ensure they operate safely and reliably at scale.”
Agentic Runtime Security supports enterprises as they expand agentic AI adoption, integrating directly into agent gateways and execution frameworks to enable phased deployment without application rewrites.
“Agentic AI changes the risk model because decisions and actions are happening continuously at runtime,” said Caroline Wong, Chief Strategy Officer at Axari. “HiddenLayer’s new capabilities give us the visibility into agent behavior that’s been missing, so we can safely move these systems into production with more confidence.”
The new agentic capabilities for HiddenLayer’s AI Runtime Security are available now as part of HiddenLayer’s AI Security Platform, enabling organizations to gain immediate agentic runtime visibility and detection and expand to full threat-hunting and enforcement as their AI agent programs mature.
Find more information at hiddenlayer.com/agents and contact sales@hiddenlayer.com to schedule a demo.
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
min read
HiddenLayer Launches Channel Partner Program to Secure AI and MLOps Lifecycle
HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, today announced a new partner program to empower enterprises with complete AI protection including rapid threat detection and security across the entire MLOps lifecycle.
HiddenLayer bolsters its offerings after earning a spot on the CRN® 2023 Stellar Startups List
AUSTIN, Texas - January 23, 2024 - HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, today announced a new partner program to empower enterprises with complete AI protection including rapid threat detection and security across the entire MLOps lifecycle.
“Our Channel Partner Program is designed to drive innovation by allowing partners to introduce security for AI to their customers, helping to educate more businesses about a new threat landscape,” said Rebecca Cahak, Head of Channel, HiddenLayer. “By leveraging this new offering, partners will ensure margin and deal protection, leverage incentives, access flexible and easy-to-use training tools, demo environments, and proof of value tools to drive success.”
The Channel Partner Program allows partners to seamlessly onboard while providing predictable, transparent pricing and flexible licensing models, and a first-of-its-kind unobtrusive, automated, scalable Artificial Intelligence Security (AISec) Platform. Partners will be able to educate customers on a new threat landscape and provide the solutions they need to protect their AI, and competitive edge, build stronger relationships, and establish their team as AI leaders for their customers.
"The HiddenLayer line of products is an important component in our AI security service offerings,” said Matt Keating, Head of AI Security at Booz Allen Hamilton. “We are excited to continue to strengthen our strategic partnership with the HiddenLayer team, furthering our ability for joint strategy and co-solutioning.”
HiddenLayer aims to optimize its current partner network, enhancing it through streamlined support and collaborative offerings. There will be three tiers for the program, Covert, Concealed, and Clandestine, so customers can work together with HiddenLayer to achieve the best-shared outcome. Each tier includes pricing discounts, free online training for sales, and technical enablement and security for AI marketing partnerships. Concealed includes free on-site training and performance incentive programs for extra financial success. Clandestine includes everything previously mentioned, with the addition of account mapping, executive security research briefings, and more.
“By joining HiddenLayer’s partner program, we’re enabling customers to safeguard against constantly evolving cybersecurity risks,” said Rick Echevarria, Vice President and General Manager, Intel Security Center of Excellence. “We are now able to provide a scalable security solution for AI and help more businesses foster the acceleration of safer AI adoption.”
Additionally, HiddenLayer recently announced that CRN®, a brand of The Channel Company, named HiddenLayer to its 2023 Stellar Startups list. This annual list, previously known as CRN Emerging Vendors, recognizes fast-rising technology manufacturers committed to delivering leading-edge solutions that propel innovation and growth in the IT channel.
Learn more about HiddenLayer’s Channel Partner Program 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 is a proud participant in the Microsoft Security Copilot Partner Private Preview
Today announced its participation in the Microsoft Security Copilot Partner Private Preview. HiddenLayer was selected based on their proven experience with Microsoft Security technologies, willingness to explore and provide feedback on cutting edge functionality, and close relationship with Microsoft.
AUSTIN, Texas - January 9, 2024 - HiddenLayer today announced its participation in the Microsoft Security Copilot Partner Private Preview. HiddenLayer was selected based on their proven experience with Microsoft Security technologies, willingness to explore and provide feedback on cutting edge functionality, and close relationship with Microsoft.
“AI is one of the defining technologies of our time and has the potential to drive meaningful, step-change progress in cybersecurity,” said Ann Johnson, Corporate Vice President, Microsoft Security Business Development. “Security is a team sport, and we are pleased to work alongside our Security Copilot partner ecosystem to deliver customers solutions that enhance cyber defenses and make the promise of AI real.”
HiddenLayer is working with Microsoft product teams to help shape Security Copilot product development in several ways, including validation and refinement of new and upcoming scenarios, providing feedback on product development and operations to be incorporated into future product releases, and validation and feedback of APIs to assist with Security Copilot extensibility.
“Microsoft has long been a champion of cybersecurity and AI, and HiddenLayer shares a common commitment to securing AI and machine learning models through the application of traditional cybersecurity techniques,” said Abigail Maines, Chief Revenue Officer, HiddenLayer. “Our participation in the Security Copilot’s capabilities will bolster the protection of enterprises’ most important technology, and give us the opportunity to influence and shape product development throughout the space.”
Security Copilot is the first AI-powered security product that enables security professionals to respond to threats quickly, process signals at machine speed, and assess risk exposure in minutes. It combines an advanced large language model (LLM) with a security-specific model that is informed by Microsoft's unique global threat intelligence and more than 65 trillion daily signals.
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.
For additional information:
David Sack
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com
Product or service names mentioned herein may be the trademarks of their respective owners.
min read
HiddenLayer Partners with CVE Program as a Numbering Authority to Secure AI
The leading security provider for artificial intelligence (AI) models and assets, proudly announces its partnership with the Common Vulnerabilities and Exposures (CVE®) Program as a CVE Numbering Authority (CNA), reinforcing our commitment to enhancing AI system security.
Underscoring commitment to elevating Security for AI standards
AUSTIN, Texas — Dec 19, 2023 — HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, proudly announces its partnership with the Common Vulnerabilities and Exposures (CVE®) Program as a CVE Numbering Authority (CNA), reinforcing our commitment to enhancing AI system security.
HiddenLayer joins over 300 organizations across 37 countries, authorized by the CVE Program to assign CVE IDs to vulnerabilities within their specific scopes, enabling the efficient collaboration of multiple parties to address known AI security risks.
Each CNA has a specific Scope of responsibility for vulnerability identification and publishing. HiddenLayer is now authorized to assign CVEs to new zero-day vulnerabilities in both third-party software that does not fall under the scope of another CNA, and within their own products. This enables HiddenLayer in its mission to help protect the world’s most valuable technology, Artificial Intelligence.
“Being acknowledged as a CNA underscores HiddenLayer’s dedication and responsibility towards enhancing security for AI,” said Tom Bonner, VP of Research of HiddenLayer. “With the recent proliferation of machine learning and artificial intelligence, it is imperative that organizations have a complete awareness of the risks posed by insecure libraries, applications, and services. By researching and reporting vulnerabilities in critical ML and AI systems, HiddenLayer is underlining our commitment to help advance the security posture for the entire industry.”
The CVE Program, sponsored by the Cybersecurity and Infrastructure Security Agency (CISA) of the U.S. Department of Homeland Security (DHS), aims to identify, define, and catalog publicly disclosed cybersecurity vulnerabilities. The CVE Program is community-driven and is steered by an international board of industry, academic, and government representatives.
HiddenLayer offers a comprehensive suite of products through its AISec Platform to safeguard AI models from adversarial attacks, vulnerabilities, and malicious code injections. In addition, HiddenLayer collaborates with clients, providing consulting services leveraging deep domain expertise in cybersecurity, artificial intelligence, reverse engineering, and threat research.
HiddenLayer’s Adversarial Machine Learning (AdvML) experts empower cybersecurity teams and data scientists with knowledge, insight, and tools to integrate security into the MLOps Pipeline, understand the latest adversarial AI tactics and countermeasures, map the current AI threat landscape, develop high-impact attack scenarios, validate AI environments, and implement operational security controls that satisfy both data science and security teams’ needs.
About the CVE Program
The mission of the Common Vulnerabilities and Exposures (CVE®) Program is to identify, define, and catalog publicly disclosed cybersecurity vulnerabilities. There is one CVE Record for each vulnerability in the catalog. The vulnerabilities are discovered then assigned and published by organizations from around the world that have partnered with the CVE Program. Partners publish CVE Records to communicate consistent descriptions of vulnerabilities. Information technology and cybersecurity professionals use CVE Records to ensure they are discussing the same issue, and to coordinate their efforts to prioritize and address the vulnerabilities.
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.
min read
HiddenLayer Attains SOC 2 Type II Compliance: Elevating Data Security for AI
HiddenLayer is proud to announce the achievement of Service Organization Control 2 (SOC 2) Type II compliance. This milestone underscores our commitment to upholding rigorous standards in security, availability, processing integrity, confidentiality, and privacy, aligning with our core mission to secure Artificial Intelligence and Machine Learning across enterprise and the public sector.
HiddenLayer is proud to announce the achievement of Service Organization Control 2 (SOC 2) Type II compliance. This milestone underscores our commitment to upholding rigorous standards in security, availability, processing integrity, confidentiality, and privacy, aligning with our core mission to secure Artificial Intelligence and Machine Learning across enterprise and the public sector.
This accomplishment, shortly following our Series A funding, emphasizes our dedication to safeguarding our customer’s data from the outset through robust operational practices.
Understanding SOC 2
SOC 2 is an industry standard set by the American Institute of Certified Public Accountants (AICPA), and a trusted framework for customers and third-party auditors to evaluate a service organization's information management systems' security, availability, processing integrity, confidentiality, and privacy.
HiddenLayer, alongside its Machine Learning Detection & Response platform, has successfully met SOC 2 standards, validating the design and operational effectiveness of our controls in security, availability, and confidentiality.
SOC 2 compliance is more than a milestone. It resonates with our customers, partners, and investors. It enhances our ability to form partnerships with organizations prioritizing data security and strengthens our capacity to continue to protect organizations from adversarial AI attacks.
What’s Next?
HiddenLayer remains committed to surpassing industry standards. We will continue implementing best practices to prioritize sensitive information protection across our data, systems, and confidentiality processes.
In essence, SOC 2 compliance signifies HiddenLayer's dedication to setting the benchmark for Data Security for AI, reinforcing the trust our stakeholders place in us.
min read
HiddenLayer Awarded Phase 2 SBIR Contract by the U.S. Department of Defense
The leading security provider for artificial intelligence (AI) models and assets, announces it has been selected by AFWERX for a SBIR Direct-to-Phase II contract in the amount of $1.25 million focused on implementing their Machine Learning Security (MLSec) Platform to address the most pressing challenges in the Department of the Air Force (DAF).
Machine learning security platform will secure government AI systems
AUSTIN, Texas — Oct. 24, 2023 — HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, announces it has been selected by AFWERX for a SBIR Direct-to-Phase II contract in the amount of $1.25 million focused on implementing their Machine Learning Security (MLSec) Platform 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 now on September 22, 2023, HiddenLayer will deploy their innovative security solution to further strengthen the national defense of the United States of America.
"HiddenLayer is honored to continue our partnership with the US Air Force through our second SBIR contract award. This partnership brings our cutting-edge threat detection capabilities to specific Air Force scenarios in operation and will ensure that our military’s use of next-generation technology is secure. Everyone at HiddenLayer is committed to ensuring our government's AI is secure today and always," said Chris Sestito, CEO and co-founder of HiddenLayer.
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, 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 AI security 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.
About Air Force Research Laboratory (AFRL)
Sole organization leading the planning and execution of U.S. Air Force & U.S. Space Force science & technology programs. Orchestrates a world-wide government, industry & academia coalition in the discovery, development & delivery of a wide range of revolutionary technology. Provides leading-edge warfighting capabilities keeping air, space and cyberspace forces the world's best. Employs 10,800 military, civilian and contractor personnel at 17 research sites executing an annual $4B budget. For more information, visit: www.afresearchlab.com.
About AFWERX
The innovation arm of the DAF and a directorate within the Air Force Research Laboratory brings cutting edge American ingenuity from small businesses and start-ups to address the most pressing challenges of the DAF. Employs approximately 325 military, civilian and contractor personnel at six hubs and sites executing an annual $1.4B budget. Since 2019, has executed 4,671 contracts worth more than $2B to strengthen the U.S. defense industrial base and drive faster technology transition to operational capability. For more information, visit: www.afwerx.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.