HiddenLayer’s cover photo
HiddenLayer

HiddenLayer

Computer and Network Security

Austin, TX 19,247 followers

Total AI Security

About us

HiddenLayer, a Gartner-recognized Cool Vendor for AI Security, is the leading provider of Security for AI. Its AISec Platform unifies supply chain security, runtime defense, posture management, and automated red teaming to protect agentic, generative and predictive AI applications. The platform enables organizations across the private and public sectors to reduce risk, ensure compliance, and adopt AI with confidence. Founded by a team of cybersecurity and machine learning veterans, HiddenLayer combines patented technology with industry-leading research to defend against prompt injection, adversarial manipulation, model theft, and supply chain compromise. The company is backed by strategic investors including M12 (Microsoft’s Venture Fund), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.

Website
https://hiddenlayer.com/
Industry
Computer and Network Security
Company size
51-200 employees
Headquarters
Austin, TX
Type
Privately Held
Founded
2022
Specialties
Security for AI, Cyber Security, Gen AI Security, Adversarial ML Training, AI Detection & Response, Prompt Injection Security, PII Leakage Protection, Model Tampering Protection, Data Poisoning Security, AI Model Scanning, AI Threat Research, and AI Red Teaming

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Employees at HiddenLayer

Updates

  • Agentic AI is moving fast, but not in the way most people expected. In PitchBook’s latest report, written by Dimitri Zabelin, featuring insights from our CEO & Co-Founder Chris Sestito, it was evident that model capability is no longer the bottleneck. So what is? Governance, integration, and organizational readiness. Across industries, from cybersecurity to fintech, adoption is taking hold where workflows are structured and outcomes are measurable. But in high-risk environments, progress slows without the right controls in place. Another key takeaway is that trust is engineered. It’s built through explainability, auditability, and the ability to intervene when systems go off course. And perhaps most importantly, value is shifting. Not just in the model, but in the system around it, where context, integration, and feedback loops create real defensibility. If you're thinking about how agentic AI fits into your organization, this report is worth a read. 🔗 Check out the full PitchBook report: https://lnkd.in/g34Ay_wx #AISecurity #AIGoverance #AgenticAI #AIRisk

  • We’ve spent years securing inputs and outputs. But recent incidents are showing that’s not where the real risk ends. As AI systems gain access to tools, APIs, and internal data, the question isn’t just 'what did the model say'? It’s what 'did it actually do' and 'what did it interact with'? And that’s the challenge. Existing security tools don’t have a clear view of how those decisions are made in real time, what is accessed, which tools are used, or how a specific outcome occurs. When something goes wrong, you’re left reconstructing behavior from fragments. That's why we built AI Runtime Security. With centralized search across all runtime activity, teams can:  → See every agent session and interaction in one place  → Trace tool usage and data flows as they happen  → Investigate findings with full execution context  → Understand enforcement outcomes and system behavior Because at this stage, securing AI is more than filtering inputs or validating outputs. It’s about understanding and controlling behavior. Learn more about AI Runtime Security here: https://lnkd.in/gMdg6YXY #AISecurity #AIRuntime #SecureAI #AIThreats #AgenticAI #AgenticSecurity

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  • Faster discovery doesn’t automatically mean better security. Anthropic’s decision not to release Claude Mythos broadly may be the most important signal in their announcement. We’re moving beyond AI as a tool that needs to be secured toward AI systems that actively shape security outcomes. According to early reporting, Mythos can autonomously discover and exploit vulnerabilities at a level that rivals top human researchers. But the real shift is what happens next. The bottleneck has always been: • validation • prioritization • coordinated remediation As AI accelerates vulnerability discovery, those downstream processes become the real risk surface. As models move from analysis to action, security can’t rely on trusting model behavior. It requires visibility into how these systems operate and control over what they do. The organizations that win here won’t just adopt AI for discovery. They’ll be the ones to operationalize response, connecting detection to action at scale, with context and control. Read the full breakdown: https://lnkd.in/gCFQ5N25 #ProjectGlasswing #AISecurity #Mythos #AIVulnerabilities #AIResearch #AIThreats

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  • We’re proud to see our CEO & Co-Founder, Chris Sestito, recognized in The 20 Enterprise AI Cybersecurity CEOs You Need to Know in 2026 by AI Insider. As organizations rapidly deploy AI across critical systems, it is crucial to know that the attack surface is evolving just as quickly. This recognition highlights the growing importance of securing AI itself, from models and data to the systems they power. At HiddenLayer, we’re focused on helping enterprises stay ahead of emerging risks by protecting AI from end to end without slowing innovation. Congrats to Chris and the other leaders shaping the future of AI security. 👏 ⭐ Read the full list here: https://lnkd.in/ewsBNzED #AISecurity #Cybersecurity #AI #Leadership #AgenticAI

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  • View organization page for HiddenLayer

    19,247 followers

    In many environments, AI assets are distributed across multiple platforms and teams, with models, datasets, and applications living in separate places. This fragmentation makes it increasingly difficult to maintain clear oversight, which in turn complicates governance and security efforts. That’s the gap AI Discovery is built to solve. With a live, centralized inventory of your AI models, agents, and relationships, teams can: → Understand what exists across their environment → See compliance status in real time → Identify risks faster and take action → Map how everything connects across AWS, Databricks, and Microsoft Foundry Because securing AI starts with knowing what you have. 🎥 Watch how AI Discovery brings clarity to your AI ecosystem. #AISecurity #AI #Cybersecurity #Governance #MLOps #HiddenLayer

  • Missed the live session? Last week, we broke down HiddenLayer’s 2026 AI Threat Landscape Report, focusing on what’s actually changing for security teams as agentic AI moves into production. A few key themes: • Agentic AI is expanding the attack surface in ways many teams aren’t fully accounting for • There’s a growing gap between AI adoption and AI security maturity • Most organizations still lack clear visibility into where their AI systems are exposed If you're working through how to secure AI in production, this session is worth a watch. 🎥 Watch the recording: https://lnkd.in/gy3uvNyJ 📖 Download the report: https://lnkd.in/gDyy3_Av #AISecurity #AgenticAI #SecureAI #AIThreats #AIRisk #AIWebinar

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  • 🔎 📖 In “Emerging Tech: Top Funded Startups for Preemptive Exposure Management,” Gartner highlights HiddenLayer in its domain-specialized exposure management category for AI systems. This recent publication signals a broader shift away from reactive security and toward preemptive risk reduction and continuous validation as AI becomes core to critical workflows. At HiddenLayer, we’ve been building with this future in mind from the start. We appreciate Gartner's recognition as AI security continues to take its place as a core part of enterprise security strategy. Gartner member? Read the full report here: https://lnkd.in/giBTHZ2z #AISecurity #AIStartUp #Gartner #AIRisk #AIRuntime #AgenticAI #AgenticSecurity

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  • 🚨 Happening today: Rise of Agentic AI Webinar 🚨 Agentic AI is changing how organizations build and how attackers target AI systems. In two hours, we’re going live to break down HiddenLayer’s 2026 AI Threat Landscape Report and what it means for security teams right now. We’ll cover: • Where agentic AI is introducing new risk • What 250+ security leaders are seeing across the landscape • The gaps organizations can’t afford to ignore If AI is in production (or close to it), this is a timely conversation to tune into. 🕚 Today | 11 AM CST 🔗 Join us here: https://lnkd.in/gDyy3_Av #AISecurity #CyberSecurity #AIThreats #GenAI #InfoSec

  • Keeping up with AI threats shouldn’t feel like a full-time job. The truth is, the AI threat landscape is evolving faster than most teams can track. New research, novel attack techniques, and shifting risks are emerging every week. That’s why we created HiddenFindings. Our weekly AI threat landscape newsletter is built to cut through the noise and focus on what actually matters: • The latest industry research and why it’s relevant • Emerging attack trends targeting AI systems • Key developments shaping AI security right now Subscribe to enjoy clear, practical insights to help you stay ahead 👇 https://lnkd.in/g2umDbpB #AISecurity #AIThreats #AINews #AINewsletter #AIRisk 

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  • As agentic AI systems take on more autonomy, the security conversation is shifting dramatically. The question isn’t if you’re using AI, but whether you understand where it’s most exposed. On April 8 at 11 AM CST, we’re breaking down insights from HiddenLayer’s 2026 AI Threat Landscape Report to highlight where organizations are falling short and what needs to change. We’ll dig into: • How agentic AI is changing the threat landscape • The biggest gaps security teams are facing today • Practical steps to better secure AI in production If AI is part of your roadmap, this session will give you a clearer picture of the risks ahead. 📅 April 8 | 11 AM CST 🔗 Save your spot: https://lnkd.in/gDyy3_Av #AISecurity #CyberSecurity #AI #GenAI #InfoSec #AgenticAI #AIAgents

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