HiddenLayer in the News

AUSTIN, Texas – April 23, 2025 – HiddenLayer, the leading security provider for AI models and assets, and Cyera, the pioneer in AI-native data security, today announced a strategic partnership to deliver end-to-end protection for the full AI lifecycle from the data that powers them to the models that drive innovation.

As enterprises embrace AI to accelerate productivity, enable decision-making, and drive innovation, they face growing security risks. HiddenLayer and Cyera are uniting their capabilities to help customers mitigate those risks, offering a comprehensive approach to protecting AI models from pre- to post-deployment. The partnership brings together Cyera’s Data Security Posture Management (DSPM) platform with HiddenLayer’s AISec Platform, creating a first-of-its-kind, full-spectrum defense for AI systems.

“You can’t secure AI without protecting the data enriching it,” said Chris “Tito” Sestito, Co-Founder and CEO of HiddenLayer. “Our partnership with Cyera is a unified commitment to making AI safe and trustworthy from the ground up. By combining model integrity with data-first protection, we’re delivering immediate value to organizations building and scaling secure AI.

Cyera’s AI-native data security platform helps organizations automatically discover and classify sensitive data across environments, monitor AI tool usage, and prevent data misuse or leakage. HiddenLayer’s AISec Platform proactively defends AI models from adversarial threats, prompt injection, data leakage, and model theft.

Together, HiddenLayer and Cyera will enable:

• End-to-end AI lifecycle protection - Secure model training data, the model itself, and the capability set from pre-deployment to runtime.
• Integrated detection and prevention - Enhanced sensitive data detection, classification, and risk remediation at each stage of the AI Ops process.
• Enhanced compliance and security for their customers: HiddenLayer will use Cyera’s platform internally to classify and govern sensitive data flowing through its environment, while Cyera will leverage HiddenLayer’s platform to secure their AI pipelines and protect critical models used in their SaaS platform.

"Mobile and cloud were waves, but AI is a tsunami, unlike anything we’ve seen before. And data is the fuel driving it,” said Jason Clark, Chief Strategy Officer, Cyera. “The top question security leaders ask is: ‘What data is going into the models?’ And the top blocker is: ‘Can we secure it?’ This partnership between HiddenLayer and Cyera solves both: giving organizations the clarity and confidence to move fast, without compromising trust.”

This collaboration goes beyond joint go-to-market. It reflects a shared belief that AI security must start with both model integrity and data protection. As the threat landscape evolves, this partnership delivers immediate value for organizations rapidly building and scaling secure AI initiatives.

“At the heart of every AI model is data that must be safeguarded to ensure ethical, secure, and responsible use of AI,” said Juan Gomez-Sanchez, VP and CISO for McLane, a Berkshire Hathaway Portfolio Company. “HiddenLayer and Cyera are tackling this challenge head-on, and their partnership reflects the type of innovation and leadership the industry desperately needs right now.” 

About HiddenLayer
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 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 Cyera
Cyera is the fastest-growing data security company in the world. Backed by global investors including Sequoia, Accel, and Coatue, Cyera’s AI-powered platform empowers organizations to discover, secure, and leverage their most valuable asset—data. Its AI-native, agentless architecture delivers unmatched speed, precision, and scale across the entire enterprise ecosystem. Pioneering the integration of Data Security Posture Management (DSPM) with real-time enforcement controls, Adaptive Data Loss Prevention (DLP), Cyera is delivering the industry’s first unified Data Security Platform—enabling organizations to proactively manage data risk and confidently harness the power of their data in today’s complex digital landscape.

Contact
Maia Gryskiewicz
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com

Yael Wissner-Levy
VP, Global Communications at Cyera
yaelw@cyera.io

Austin, TX – April 22, 2025 – HiddenLayer, the leading provider of security for AI models and assets, today announced the release of AISec Platform 2.0, the platform with the most context, intelligence, and data for securing AI systems across the entire development and deployment lifecycle. Unveiled ahead of the RSAC Conference 2025, this upgrade introduces advanced capabilities that empower security practitioners with deeper insights, faster response times, and greater control over their AI environments.

The new release includes Model Genealogy and AI Bill of Materials (AIBOM), expanding the platform’s observability and policy-driven threat management capabilities. With AISec Platform 2.0, HiddenLayer is establishing a new benchmark in AI security where rich context, actionable telemetry, and automation converge to enable continuous protection of AI assets from development to production.

“With the proliferation of agentic systems, context is key to driving meaningful security outcomes,” said Chris “Tito” Sestito, CEO and Co-founder of HiddenLayer. “The new AISec Platform delivers the necessary visibility into interoperating AI systems to ensure and enable security across enterprise and government environments.”

AISec Platform 2.0: Contextual Intelligence for Secure AI at Scale

AISec Platform 2.0 introduces:

• Model Genealogy: Unveils the lineage and pedigree of AI models to track how they were trained, fine-tuned, and modified over time, enhancing explainability, compliance, and threat identification.
• AI Bill of Materials (AIBOM): Automatically generated for every scanned model, AIBOM provides an auditable inventory of model components, datasets, and dependencies. Exported in an industry-standard format, it enables organizations to trace supply chain risk, enforce licensing policies, and meet regulatory compliance requirements.
• Enhanced Threat Intelligence & Community Insights: Aggregates data from public sources like Hugging Face, enriched with expert analysis and community insights, to deliver actionable intelligence on emerging machine learning security risks.
  
• Red Teaming & Telemetry Dashboards: Updated dashboards enable deeper runtime analysis and incident response across model environments, offering better visibility into prompt injection attempts, misuse patterns, and agentic behaviors.

HiddenLayer AISec Platform - Model Genealogy Feature

HiddenLayer AISec Platform - AIBOM Feature

Empowering Security Teams and Accelerating Safe AI Adoption

With AISec Platform 2.0, HiddenLayer empowers security teams to:

• Accelerate model development by reducing the time from experimentation to production from months to weeks.
• Gain full visibility into how and where AI models are being used, by whom, and with what level of access.
• Automate model governance and enforcement through white-glove policy recommendations and telemetry-driven enforcement tools.
• Deploy AI with confidence, transforming it from a high-risk initiative into a scalable, secure enterprise function.

Built for the Future of AI Security

AISec Platform 2.0 also lays the foundation for a new generation of AI threat detection and response. With integrated support for agentic systems, external threat intelligence, and deployment observability, HiddenLayer enables organizations to stay ahead of emerging risks while empowering security and AI teams to collaborate more effectively.

To learn more, schedule a meeting with the HiddenLayer team at RSAC 2025 or book a demo.

About HiddenLayer
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 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.

Press Contact

Maia Gryskiewicz
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com

AUSTIN, Texas - March 4, 2024 - HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, released its second annual AI Threat Landscape Report today, spotlighting the evolving security challenges organizations face as AI adoption accelerates. 

AI is driving business innovation at an unheard-of scale, with 89% of IT leaders stating AI models in production are critical to their organization’s success. Yet, security teams are racing to keep up, spending nearly half their time mitigating AI risks. The report underscores that security is key to unlocking AI’s immense potential. Encouragingly, companies are taking action, with 96% increasing their AI security budgets in 2025 to stay ahead of emerging threats.

The report surveyed 250 IT leaders to shed light on the increasing security risks associated with AI adoption, including the material impact of AI breaches, insufficient protections against adversarial attacks, and a lack of clarity around governance responsibilities.

Key findings include:

• An Increase in AI Attacks: 74% of organizations report definitely knowing they had an AI breach in 2024, up from 67% reporting the same last year, emphasizing the need for companies to act quickly to protect their AI systems.
• Failure to Disclose Incidents: Nearly half (45%) of organizations opted not to report an AI-related security breach due to concerns over reputational damage.
• Material Impact of AI Breaches: 89% say most or all AI models in production are critical to their success. But many continue to operate without comprehensive safeguards with only a third (32%) deploying a technology solution to address threats.
• Internal Debate About Who is Responsible for Security: 76% of organizations report ongoing internal debate about which teams should control AI security, illustrating the need for leaders to clearly define ownership as AI becomes central to business operations.

“Securing AI isn’t just about protection—it’s about accelerating progress,” said Chris "Tito" Sestito, Co-Founder and CEO of HiddenLayer. “Organizations that embrace securing AI as a strategic enabler, not just a safeguard, will be able to move more quickly to realize its benefits. This year’s report shows an encouraging shift: companies are recognizing that comprehensive security accelerates AI adoption, builds trust, and strengthens competitive advantage. HiddenLayer is committed to partnering with those organizations to protect their AI assets so they can continue to innovate.”

Additional trends identified in the report include:

• The rise of “shadow AI:” AI systems being used without official approval is also a growing concern, with 72% of IT leaders flagging it as a major risk.
• AI attack origination: 51% of AI attack sources originate from North America. Other regions contributing to AI threats include Europe (34%), Asia (32%), South America (21%), and Africa (17%).
• Source of AI breaches: 45% identified breaches coming from malware in models pulled from public repositories, while 33% originated from chatbots, and 21% from third party applications.

Looking ahead, the AI security landscape will continue to face even more sophisticated challenges in 2025. Predictions for what’s on the horizon in the next year include:

• Agentic AI as a Target: Integrating agentic AI will blur the lines between adversarial AI and traditional cyberattacks, leading to a new wave of targeted threats. Expect phishing and data leakage via agentic systems to be a hot topic.
• Erosion of Trust in Digital Content: As deepfake technologies become more accessible, audio, visual, and text-based digital content will face a near-total erosion of trust. Expect to see advances in AI watermarking to help combat such attacks.
• Adversarial AI: Organizations will integrate adversarial machine learning into standard red team exercises, testing for AI vulnerabilities proactively before deployment.
• AI-Specific Incident Response: For the first time, formal incident response guidelines tailored to AI systems will be developed, providing a structured approach to AI-related security breaches. Expect to see playbooks developed for AI risks.
• Advanced Threat Evolution: Fraud, misinformation, and network attacks will escalate as AI evolves across domains such as computer vision (CV), audio, and natural language processing (NLP). Expect to see attackers leveraging AI to increase both the speed and scale of attack, as well as semi-autonomous offensive models designed to aid in penetration testing and security research.
• Emergence of AIPC (AI-Powered Cyberattacks): As hardware vendors capitalize on AI with advances in bespoke chipsets and tooling to power AI technology, expect to see attacks targeting AI-capable endpoints intensify.

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. As part of the platform, HiddenLayer’s provides its Artificial Intelligence Detection & Response (AIDR), which enables organizations to automate and scale the protection of AI models and ensure their security in real-time, its Model Scanner, which allows companies to evaluate the security and integrity of their AI artifacts before deploying them, and Automated Red Teaming, which provides one-click vulnerability testing to identify, remediate, and document security risks. 

For more information, view the full report here. 

About HiddenLayer

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.

Contact

Maia Gryskiewicz

SutherlandGold for HiddenLayer

hiddenlayer@sutherlandgold.com

HiddenLayer, a leader in security for AI solutions, is now available across three major cloud marketplaces, including Microsoft Azure, AWS, and Google Cloud Platform (GCP). This milestone solidifies HiddenLayer’s position as the trusted choice for AI protection, offering organizations seamless access to its cutting-edge security solutions across cloud, on-premise, and hybrid environments.

HiddenLayer’s platform is designed to meet the stringent security requirements of regulated industries, offering flexible deployment options and compatibility with leading AI frameworks such as TensorFlow and PyTorch. By making its solutions readily available across multiple cloud ecosystems, HiddenLayer ensures enterprises can deploy AI securely without compromising innovation.

As part of its strategic partnership with Microsoft, HiddenLayer was exclusively selected as the sole scanning tool in Microsoft’s AI Studio catalog—a testament to its unmatched capabilities in safeguarding AI models. This achievement is further supported by HiddenLayer’s participation in Microsoft’s Pegasus Program and investment backing from M12, Microsoft’s Venture Fund.

"Securing AI must be an accelerator, not a roadblock," said Chris Sestito, Co-founder and CEO of HiddenLayer. "Expanding across all three major cloud marketplaces ensures that organizations can integrate AI security seamlessly, protecting their models where they are built, deployed, and operated."

For more information, contact our team or explore HiddenLayer’s solutions in your preferred cloud marketplace.

About HiddenLayer

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.

Contact

Maia Gryskiewicz

SutherlandGold for HiddenLayer

hiddenlayer@sutherlandgold.com

We’re excited to share that HiddenLayer has been recognized as a Representative Vendor in Gartner’s AI Trust, Risk, and Security Management (AI TRiSM) Market Guide. This acknowledgment reinforces our mission to help organizations secure AI systems from emerging threats while maintaining trust, compliance, and innovation. AI security must be prioritized at every development and deployment stage to enable progress. 

This report highlights four key trends redefining AI TRiSM:

• AI TRiSM Teams Take Shape – Organizations are embedding AI security into innovation teams, ensuring AI can scale safely and responsibly.
• Unified AI Runtime Inspection & Enforcement – A proactive, unified approach empowers teams to detect, prevent, and adapt to AI risks in real-time.
• AI Hosting Providers Expand TRiSM Services – AI infrastructure providers are strengthening security offerings, giving enterprises the confidence to push AI capabilities further.
• AI TRiSM Market Consolidation – As AI governance and security converge, the industry is evolving to support broader, more seamless AI adoption.

According to Gartner, AI TRiSM solutions “enable organizations to more safely use AI, ensure AI actions align with organizational intent, keep AI systems secure from malicious actors, and assure confidential data and intellectual property are properly protected.”

This recognition highlights the growing urgency for AI security solutions that go beyond traditional cybersecurity approaches. At HiddenLayer, we’re at the forefront of this challenge—helping organizations mitigate AI risks without slowing innovation.

📄 Gartner members can access the full report here.

Austin, TX — November 20, 2024 — HiddenLayer, a leader in security for AI solutions, today announced the launch of its Automated Red Teaming solution for artificial intelligence, a transformative tool that enables security teams to rapidly and thoroughly assess generative AI system vulnerabilities. The addition of this new product extends HiddenLayer’s AISec platform capabilities to include Automated Red Teaming, Model Scanning, and GenAI Detection & Response – all under one platform. This innovative solution provides fast, reliable protection for AI deployments, helping businesses safeguard sensitive data and intellectual property, and prevent malicious manipulation of AI models.

“Security teams are racing to build AI security solutions, knowing that AI will be necessary to stay competitive. Our Automated Red Teaming solution reflects our commitment to equipping security teams with efficient, powerful tools to address AI-specific threats swiftly. This allows businesses to confidently harness AI’s potential, knowing they are protected against emerging risks,” said Mike Bruchanski, Chief Product Officer. 

With the rapid rollout of AI technology across industries, new attack surfaces have emerged, requiring an evolution in security strategies. HiddenLayer’s Automated Red Teaming solution offers security teams a way to test AI systems for vulnerabilities through simulated, expert-level attacks. It handles routine but essential checks to provide a consistent layer of defense. Developed with HiddenLayer’s AI security expertise, it enables comprehensive testing with minimal overhead, allowing seamless integration into the pre-launch testing process. 

HiddenLayer’s Automated Red Teaming solution empowers security teams to strengthen AI defenses with immediate readiness. Its cost-effectiveness and compliance support, with regulatory-aligned documentation, ensure comprehensive AI security that meets modern risk management needs.

If you want to learn more about Automated Red Teaming, read our blog, or join our webinar Automated Red Teaming for AI Explained, on December 4th at 1 PM CST. You can secure your spot 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 AI, HiddenLayer secures enterprise AI from inference, bypass, extraction attacks, and model theft. The company is a Gartner Recognized Cool Vendor for AI Security and 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.

Contact

Maia Gryskiewicz
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com

Austin, TX, November 19, 2024—HiddenLayer, a leader in security for AI solutions, announced today that it has been named to Fast Company’s fourth annual Next Big Things in Tech list in the Security and Privacy category. The list honors emerging technology that has a profound impact on industries, from education and sustainability to robotics and artificial intelligence. 

This year, 138 technologies developed by established companies, startups, or research teams are featured for their potential to revolutionize the lives of consumers, businesses, and society overall. While not all technologies are available in the market yet, each is reaching key milestones to have a proven impact in the next five years.

HiddenLayer’s solutions protect predictive and generative AI models from diverse threats—such as adversarial attacks, model theft, and data extraction—empowering industries like finance, healthcare, and critical infrastructure to deploy AI safely and responsibly. By delivering proactive security for AI, HiddenLayer is not only enhancing enterprise resilience but also accelerating trust in AI technology.

“AI is reshaping our world at an extraordinary pace, and ensuring the security of AI is critical to unlocking its full potential,” said Chris Sestio, CEO and Co-Founder of HiddenLayer. “We’re honored that Fast Company has recognized HiddenLayer's commitment to securing AI assets to foster innovation and help private and public sector organizations to build resilient and secure systems.”

“The Next Big Things in Tech provides a fascinating glimpse at near- and long-term technological breakthroughs across a variety of sectors,” says Brendan Vaughan, editor-in-chief of Fast Company. “Spanning everything from semiconductors to agricultural gene editing, the companies featured in this year’s list are tackling some of the world’s most pressing and vexing problems.”

Click here to see the final list.

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 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 Fast Company

Fast Company is the only media brand fully dedicated to the vital intersection of business, innovation, and design, engaging the most influential leaders, companies, and thinkers on the future of business. The editor-in-chief is Brendan Vaughan. Headquartered in New York City, Fast Company is published by Mansueto Ventures LLC, along with our sister publication, Inc., and can be found online at fastcompany.com.

Contact

Maia Gryskiewicz
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com

Austin, TX – October 30, 2024 – HiddenLayer, a leader in security for AI solutions, is honored to be recognized as a Cool Vendor for AI Security in Gartner’s 2024 report. This prestigious distinction highlights HiddenLayer's innovative approaches to safeguarding artificial intelligence models, data, and workflows against a rapidly evolving threat landscape.

HiddenLayer’s proactive solutions ensure organizations can rely on comprehensive and resilient AI systems in an era of accelerated AI adoption. Gartner's recognition underscores the company’s expertise and leadership in the AI security space, setting a benchmark for the industry as enterprises increasingly turn to cutting-edge solutions to protect sensitive AI systems and data.

“Being named a Gartner Cool Vendor for AI Security validates our vision and the critical work our team has undertaken to provide organizations with sophisticated tools that address real-world AI threats,” said Chris Sestito, CEO of HiddenLayer. “This acknowledgment strengthens our commitment to staying ahead of adversarial attacks and ensuring safe AI deployment for our clients and partners.”

HiddenLayer’s innovative solutions encompass capabilities tailored to address unique security challenges in machine learning and artificial intelligence. HiddenLayer empowers businesses to fortify their AI assets without compromising on performance or innovation by focusing on AI integrity and model protection.

The Cool Vendor recognition reinforces HiddenLayer’s momentum as a leader in AI security, following recent achievements such as receiving the SINET16 Innovators award and being recognized as an AI Standout at the A-List Austin awards. These honors reflect HiddenLayer's continued dedication to advancing AI security standards and ensuring secure AI adoption on a global scale.

For organizations looking to safeguard their AI models and tools, HiddenLayer offers an unparalleled solution grounded in resilience and adaptability to modern security demands.

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 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.

Contact

Maia Gryskiewicz
SutherlandGold for HiddenLayer
hiddenlayer@sutherlandgold.com

Austin, TX – October 8, 2024 – HiddenLayer today announced the launch of several new features to its AISec Platform and Model Scanner, designed to enhance risk detection, scalability, and operational control for enterprises deploying AI at scale. As the pace of AI adoption accelerates, so do the threats targeting these systems, necessitating security measures that stay ahead of increasingly sophisticated adversaries. These updates to HiddenLayer’s platform allow organizations to deploy AI models more securely across diverse environments while mitigating critical risks.

“It’s vital that security providers keep pace with the bad actors–especially in enterprise environments, where we bear the responsibility of safeguarding our customers’ most critical assets,” said Chris Sestito, CEO and Co-Founder of HiddenLayer. “These new capabilities increase risk detection across the board and enable us to better serve and protect customers with more flexible and scalable options.”

AISec Platform: Enterprise-Ready Security and User Management

In addition to enhanced detection capabilities, HiddenLayer’s AISec Platform, which provides detection and response for AI models, is now equipped with advanced tools for managing large-scale enterprise deployments. These include comprehensive user management features and secure integration with existing enterprise infrastructure:

• User Management: Enterprises can now easily manage tenant users, including creating, editing, and deleting user accounts. This capability strengthens internal control and access management across large organizations.
• SAML SSO: A fully integrated Single Sign-On (SSO) and Role-Based Access Control (RBAC) experience ensures administrators can securely and efficiently assign roles and permissions. The SSO integration further enhances enterprise readiness by streamlining access for larger teams.

Enterprises are facing increased pressure to adopt AI technologies while simultaneously navigating a growing landscape of digital threats. HiddenLayer’s new features allow companies to confidently scale their AI initiatives without sacrificing security or efficiency, providing a competitive edge in industries where trust and innovation are key.

“The security frameworks established by organizations like ATLAS and NIST are invaluable resources—some of which we’ve had the privilege to help shape. By integrating well-established security frameworks into our solutions, we’re able to provide even stronger, more adaptable protection to our customers. In a world where AI plays a crucial role in day-to-day business operations, safeguarding these models is mission-critical.” said Malcolm Harkins, Chief Security & Trust Officer of HiddenLayer.

Model Scanner: Increased Scalability and Risk Detection

As AI continues to become an integral part of the digital supply chain, enterprises must ensure that every component of AI-driven systems is secure from development to deployment. HiddenLayer’s Model Scanner reduces the risk of adversarial attacks, with new updates offering enhanced deployment options and seamless integration into continuous integration/continuous deployment (CI/CD) pipelines.

Introducing Model Risk Context: Heightened Detection Risk Context

These updates include Model Risk Context, which enhances the depth of risk detection by mapping identified threats to widely recognized industry frameworks such as OWASP, ATLAS, and NIST. This level of visibility equips organizations with a holistic understanding of potential risks, enabling them to make informed security decisions based on the risk profile of AI models. Other updates include:

• Static Analysis Results Interchange Format (SARIF): The platform now outputs SARIF from its API, allowing integration with tools like GitHub Advanced Security that support the Static Analysis Results Interchange Format (SARIF).
• Local Model Scanning: Users can now conduct ad-hoc scans on local models, offering greater flexibility for proprietary or offline AI assets.
• CLI Object Storage Support: This feature allows enterprises to scan models stored in AWS S3 and Azure Blob, enhancing versatility for organizations operating across multiple cloud environments.

With new integrations such as JFrog Artifactory and GitHub Actions, and the ability to scan models directly from the terminal, the Model Scanner ensures that security is embedded into every phase of AI development. Enterprises using Google Cloud Platform (GCP) can also benefit from a fully self-hosted deployment option, giving them complete control over their AI security infrastructure.

HiddenLayer’s platform signals a fundamental shift in how enterprises secure their AI environments. With risk detection that maps to industry standards, seamless integration into existing workflows, and tools for flexible deployment, HiddenLayer is setting the new standard for AI security. To see how HiddenLayer's Security for AI solutions can protect your enterprise, visit the Microsoft Azure Marketplace or explore our latest Product Blog.