Pangea
Pangea empowers organizations to ship secure AI applications quickly with the industry's broadest set of AI security guardrails that can be added
The APIs you need to build a secure, compliant applications. Go from creating an account to building an application in minutes. Pangea unites the most important security capabilities by delivering a comprehensive set of services and APIs through a single framework, streamlining everything from integration to procurement so you can add security fast. Check digital export restrictions Reputation, location, and insights Secure login and user management Cleanse files by removing malicious URLs and sensitive PII Pangea makes it easy to get configured and start building. Configure your first project in moments, start testing with our interactive API reference documentation, and then get integrated with our comprehensive SDKs. Decoding LLM Attack Surfaces: A Deep Dive into Model Vulnerabilities Mining the Index: Uncovering Sensitive Data in Public ChatGPT Histories via Google Search Learn how ChatGPT shared conversation histories are being indexed by Google, exposing sensitive data, and the implications for privacy and security
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.
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