HiddenLayer

🚨 The 2025 AI Threat Landscape Report is here. Our latest report breaks down the real-world tactics attackers are using against AI, the emerging risks organizations need to know, and how security teams can stay ahead without slowing innovation. 89% of IT leaders say AI models in production are critical to success. 74% of organizations confirmed an AI-related breach in 2024—up from 67% last year. 45% said breaches came from malware in models pulled from public repositories. The good news? 96% of organizations are increasing their AI security budgets in 2025. What’s inside the report? - The latest AI attack trends and real-world breaches - The material impact of AI security failures - Why governance clarity is critical—and still lacking - Expert recommendations to secure AI in 2025 This report is the cumulation of all things AI security from the last year. Our research team worked tirelessly to track, document, and analyze AI threats as they occurred because threat actors move fast, but defensives can move faster. Get the insights you need to stay ahead. 🔗 Read the full report here:  https://lnkd.in/gtmcGamU 🔗 Read the press release here: https://lnkd.in/gNGV9Dr8 #AIThreatReport #AIsecurity #AIThreatReport #AIRisk #AIThreat

Gartner predicts that through 2029, over 50% of successful cyberattacks on AI agents will exploit access control weaknesses, using direct or indirect prompt injection as an attack vector. The good news? Organizations are taking action. In a recent Gartner webinar, 64% of respondents said they plan to pursue agentic AI initiatives within the next year, and it’s crucial that security is a part of that innovation. HiddenLayer has been recognized as a sample vendor in Gartner’s latest report, specifically for AI runtime security under Enforce Runtime Control. As Gartner notes, AI security requires specialized protection, and we’re proud to be at the forefront of this critical field. AI’s potential is limitless—but only if we secure it. If you are a Gartner member, you can read the full report here: https://lnkd.in/gxfRYXan #AgenticAI #AI #AIRunTime #AIRisk #PromptInjection 

In 2025, we expect AI-powered cyberattacks (AIPC), agentic AI exploits, deepfake-driven misinformation, and adversarial ML attacks to surge. Organizations need to be ready. 📌 Key predictions from our AI Threat Landscape Report: - Agentic AI as a Target – Expect phishing, data leakage, and adversarial use cases to escalate. - Erosion of Digital Trust – Deepfake tech is advancing and AI watermarking will be critical. - AI-Specific Incident Response – Playbooks for AI security breaches will become standard. - AIPC Attacks on the Rise – AI-powered cyber threats will evolve, targeting models, data, and infrastructure. How can organizations prepare? We outline critical AI security recommendations in the report, including third-party risk evaluation questions developed by our Security for AI Council. This is a must-read for security practitioners. Read the full blog to prepare for what’s ahead. https://lnkd.in/gpwkPupz Download the full report here: https://lnkd.in/gtmcGamU

🚀 HiddenLayer is heading to RSAC 2025, bigger than ever! 🚀 AI is reshaping industries, but security is the key to unlocking its full potential. At RSAC 2025, we’re bringing cutting-edge AI security solutions, expert insights, and our first-ever HiddenLayer booth to the heart of the conversation. 📍 Meet with our team to discuss how AI security enables innovation, accelerates adoption, and safeguards your organization’s future. 🎤 Join us at our events for deep dives into AI security challenges, hands-on security techniques, and real-world response strategies. 🔎 Visit our inaugural booth to see how the next generation envisions the future of AI, experience our solutions in action, and learn how we’re shaping the future of AI security. Let’s connect at RSAC—because securing AI isn’t just about protection; it’s about progress. Book a meeting with us: https://lnkd.in/gXEpzgiA

Open-source models fuel AI innovation, but are they secure? Every day, data scientists download models from repositories like Hugging Face, often without security checks. The risk? Malicious code, unauthorized data access, and compliance violations slipping into your organization. Blocking access isn’t the answer. Securing the process is. In our latest blog, we walk through a secure model approval workflow using HiddenLayer’s Model Scanner and GitHub Actions. This approach: - Automatically scans models before they’re used - Prevents threats from entering your systems - Allows safe access to approved models in cloud storage, model registries, or secure repositories Secure your AI while keeping innovation moving. Read the full blog to learn how to introduce open-source models securely into your organization. 📖 Read more: https://lnkd.in/gRXPCUyw #MachineLearning #HuggingFace #MLRisk #ModelScanning #AI

✨ Product Enhancement Alert: Refusal Detections Not all AI applications face the same risks. A system handling sensitive customer data needs different protections than one analyzing market trends. Yet, many solutions rely on generic safeguards that don’t account for real-world business logic. That’s where HiddenLayer Refusal Detection comes in. By providing visibility into when and why AI models refuse contextually malicious requests, security teams gain a powerful tool to fine-tune protections, accelerate adoption, and build trust in AI-driven solutions. Key Features: - Universal Model Compatibility – Works with any AI model, not just specific vendor ecosystems. - Multilingual Support – Provides basic non-English coverage to extend security reach globally. - SOC Integration – Enables security operations teams to receive real-time alerts on refusals, enhancing visibility into potential threats. 🔗 Read more about how organizations can use refusal detections to secure AI applications: https://lnkd.in/g2byaSPg

🏆 HiddenLayer has been named a Silver Winner in the Globee® Awards for Cybersecurity At HiddenLayer, we believe that strong security accelerates adoption, builds trust, and empowers organizations to innovate with confidence. This award in AI for Cybersecurity Enhancements is a testament to our mission: securing AI so businesses can harness its power safely and responsibly. 🔗 Thank you to our team, customers, and partners for driving this vision forward. You can read more about the Globee Awards here: https://lnkd.in/gCDua2D9

A recent deep dive into enterprise AI security highlights the importance of AI-specific security solutions that don’t just mitigate risk but empower organizations to scale AI safely and responsibly. HiddenLayer is proud to be recognized for our scanning and detection & response (D&R) capabilities, helping enterprises secure AI from development to deployment. Key takeaways from the report: - Security fuels AI adoption - AI requires purpose-built security - Clarity is key – With over 50+ vendors in the space, making informed choices is critical. Organizations can embrace AI's full potential without compromise by prioritizing data security, runtime protections, and governance.

With the recent revocation of Biden’s AI Executive Order, some might see uncertainty, but for security leaders, the path forward remains clear. Securing AI isn’t just about defense; it’s about accelerating progress. As HiddenLayer CEO and Co-Founder Chris Sestito highlighted in Axios, shifting the conversation from AI "safety" to security is critical. Strong security fuels trust, accelerates adoption, and ensures AI can be a force for innovation. State regulations, industry standards, and proactive security strategies are already shaping the AI landscape. By embedding security at the foundation, organizations aren’t just protecting their AI investments—they’re unlocking their full potential. We break it all down in our latest blog, exploring why CISOs should stay the course and see security as an enabler of AI’s future. 📖 Read more: https://lnkd.in/gTj-rEaB 📖 Read the Axios piece here: https://lnkd.in/gZiKUJKp #AI #Cybersecurity #AISecurity #CISO #AISecurity #AIRegulation

💡 #ThoughtLeadership: As AI adoption accelerates, securing its foundations is key to unlocking its full potential. #ShadowLogic, a novel method for implanting codeless backdoors in neural networks, demonstrates how adversaries can manipulate a model’s computational graph—allowing persistent backdoors even after fine-tuning. As attacks evolve, it is crucial to see that AI security is not a roadblock but a catalyst for progress. Learn more from corporate member HiddenLayer: https://lnkd.in/eYSv98kE