HiddenLayer vs Mindgard — Comparison

HiddenLayer

2026 AI Threat Landscape Report Backed by patented technology and industry-leading adversarial AI research, our platform provides AI Discovery, AI Supply Chain Security, AI Attack Simulation, and AI Runtime Security. Developers are embedding AI into tools and workflows faster than security teams can track, leaving blind spots that grow before anyone notices. Third-party models introduce unknown code and vulnerabilities, and it’s hard to secure what you didn’t build yourself. Traditional tools can’t test or predict how applications behave under pressure, making it hard to know if your defenses actually work. Most organizations lack the tools and plans to detect or respond when AI systems are compromised. Our platform proactively defends against the full spectrum of AI threats, safeguarding your IP, compliance posture, and enterprise operations. Identify and build an inventory of the AI applications, models, and assets in your environment. Analyze, identify risks, and protect your AI applications, models, and assets as you build. Continually identify threats and validate defenses to safeguard agentic and generative AI applications at scale. Firewall to monitor, detect, and respond real-time to adversarial threats on agentic and generative AI applications. Simplified deployment with pre-built integrations into CI/CD, MLOps, Data Pipelines, and SIEM/SOAR. Reduction in exposure to AI exploits Disclosed through our security research Secure your AI with precision-built defenses. Detect hidden risks in third-party and proprietary models. Identify threats early and validate defenses continuously. Prevent misuse, data leakage, and adversarial attacks with policy-based controls. Safeguard autonomous systems and protect against rogue behavior. Address your AI Security needs by a specific industry or role. Securely Innovate with AI for Fraud Detection, Trading, Compliance, and Customer Engagement. Accelerate AI innovation, safely and confidently. Protect Agentic, Generative, and Predictive AI Systems for Mission Assurance. Enable Safe and Scalable AI Adoption. Build AI applications securely without compromising speed or flexibility. As enterprises embrace AI, security can’t be an afterthought. HiddenLayer makes it possible for CISOs to lead with confidence and keep innovation secure. Securing AI requires protection across the entire lifecycle. HiddenLayer delivers end-to-end visibility and defense so CISOs can safeguard AI at every stage. Strong governance is critical as AI becomes embedded across enterprises. HiddenLayer provides the comprehensive framework needed to manage risk and align AI adoption with visibility, compliance, and accountability. The integrity of AI systems is as critical as the integrity of our software supply chains. If we can't secure the building blocks of AI, we risk exposing enterprises to new classes of attack. HiddenLayer is tackling this problem at its root, delivering the protections the world nee

Mindgard

Secure your AI systems from new threats that traditional application security tools cannot address. Uncover and mitigate AI vulnerabilities, enabling

Organizations are rapidly adopting AI technologies, embedding them into production environments without full visibility into how their probabilistic and opaque behaviors introduce exploitable risk. Mindgard addresses this challenge by providing AI security solutions that help enterprises secure AI models, agents, and applications across the AI lifecycle. Spun out of more than a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard enables organizations to identify, assess, and mitigate real-world AI threats. Mindgard’s philosophy is grounded in offensive security. Effective defenses are built by emulating how real attackers scope, plan, and exploit AI systems. Mindgard empowers organizations to understand what attackers can learn, assess how systems can be exploited, and prevent breaches. This approach is powered by an elite team of AI and offensive security experts whose research is embedded directly into the platform, enabling teams to apply advanced AI security capabilities without building them in-house. Join others Red Teaming their AI Mindgard was founded on pioneering research by Dr. Peter Garraghan at Lancaster University, which showed traditional AppSec could not address AI-specific risks. Seed round led by top security investors, validating demand for an offensive-security approach to AI and the thesis that effective defenses must emulate real attacker behavior. Expanded leadership with key hires: CEO James Brear, Head of Research Aaron Portnoy, and Offensive Security Lead Rich Smith, accelerating the research-led foundation. Secured Fortune 500 design partners, validating enterprise demand for attacker-aligned AI security. We’ve assembled the strongest AI security team in the world, with deep roots in cybersecurity AI research and behavioral analysis. Mindgard's values guide our actions and decisions. These principles form the foundation of our company's culture, shaping how we interact within our teams and with our clients. They inspire us to improve continuously and help us navigate the dynamic landscape of the AI security industry. Learn how Mindgard secures AI systems by applying attacker-aligned testing, continuous risk assessment, and runtime defense across models, agents, and applications. See how Mindgard exposes and fixes exploitable AI risk across your AI agents and systems. Mindgard, the leading provider of AI security solutions, helps enterprises discover, assess, and defend their AI systems. Spun out from over a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard combines AI red teaming with offensive security expertise and AI research to identify exploitable vulnerabilities in AI models, agents, and applications before attackers do.

HiddenLayer

Mindgard

HiddenLayer

Mindgard

HiddenLayer

Mindgard