Mindgard

DemoFind & Fix High-Impact AI VulnerabilitiesThe Mindgard AI security platform discovers exploits, assesses risk, and defends AI systems and agents.DiscoverAssessDefendDemo Mindgard-exposed vulnerabilities in production AI systemsGoogle AntigravityMindgard identified a flaw in Google's Antigravity IDE that shows how traditional trust assumptions break down in AI-driven software ...More OpenAI SoraBy chaining cross-modal prompts and clever framing, Mindgard technology surfaced hidden instructions from OpenAI’s video generator ...More ZED AIThe Mindgard solution identified two vulnerabilities in the Zed IDE and our team worked with the developers on a coordinated remediation process ...More xAI GrokAfter extracting Grok 4’s system prompt using soft elicitation techniques, the model began voluntarily offering detailed guidance on illegal and dangerous ...More The Mindgard Platform maps and secures the AI attack surface. Attacker-style reconnaissance reveals how adversaries discover and exploit AI systems, exposing safety and risk implications. Continuous analysis and runtime protection help teams find, fix, and stop attacks before they cause real-world impact. DiscoverAI model evaluation & security scanningShadow AI risk exposureAI attack surface managementAssessAI red teamingAI security testingAI security risk & compliance reportingDefendRuntime threat detection & responseContext-driven guardrailsSelf-healing remediationAI RECON & ATTACK LIBRARYAI security research, zero-day exploitsAI ChatbotsAI ApplicationsAI InfrastructureAgentic WorkflowsAI Security Is a System ProblemModels, prompts, and system instructions expose hidden behavior and control paths.Agents and tools expand what AI systems can access, trigger, and execute.Applications, APIs, and data flows create new paths for exploitation.Attackers don’t target models alone. They exploit the systems that surround them.Book a DemoWorks with the AI systems & agents you already useMindgard works with the models, agents, guardrails, and applications you build and buy. It secures AI across production environments and infrastructure, from open source models to managed AI platforms.Book a Demo#1World’s Largest AI Security LabOriginating from Lancaster University, Mindgard builds on a decade of AI security research.80+AI Vulnerabilities Publicly IdentifiedAcross leading AI systems including Grok, ChatGPT, and Google Antigravity.10xFaster AI Security AssessmentsAutomated reconnaissance surfaces high-impact risks and reduces manual security effort.Award Winning AI SecurityStart Securing Your AI SystemsSee how Mindgard exposes and fixes exploitable AI risk across your AI agents and systems.Book a DemoMindgard, 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.HomeAI Recon & DiscoveryAI Security and Safety AssessmentAI Runtime ProtectionAI Red TeamingOffensive AI SecurityCompare AI Security SolutionsAI Governance & ComplianceContact UsBook a DemoDocsResourcesBlogDisclosuresCustomersAboutServicesCareersTerms & ConditionsPrivacy Policy --- DemoOur mission is to secure the world's AIOrganizations 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.The Mindgard PhilosophyMindgard’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 AIOur Key MilestonesMay 2022Mindgard was founded on pioneering research by Dr. Peter Garraghan at Lancaster University, which showed traditional AppSec could not address AI-specific risks.Dec 2024Seed 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.Sept 2025Expanded leadership with key hires: CEO James Brear, Head of Research Aaron Portnoy, and Offensive Security Lead Rich Smith, accelerating the research-led foundation.Jan 2026Secured Fortune 500 design partners, validating enterprise demand for attacker-aligned AI security.Our TeamWe’ve assembled the strongest AI security team in the world, with deep roots in cybersecurity AI research and behavioral analysis.James BrearChief Executive OfficerDr. Peter GarraghanChief Science Officer, FounderAaron PortnoyChief Product OfficerRich SmithHead of ResearchFergal GlynnChief Marketing OfficerJonathan CanizalesOperations ManagerJim NightingaleAI Red TeamerImran BohoranEngineering LeadWilliam HackettFounding ML EngineerStefan TrawickiFounding ML EngineerLewis BirchFounding ML EngineerAyomide ApantakuSoftware EngineerAlex DuttonSoftware EngineerAndrew CookSoftware EngineerJanamejay PoddarDesignerPiotr RyciakAI Red TeamerAmanda WorkerAI Data ScientistRobert CookSoftware EngineerRob HeathSoftware EngineerJoin UsMindgard'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.Innovative EnvironmentJoin a team that fosters innovation and creativity, providing an environment where your ideas are valued.Professional GrowthExperience continuous professional growth with access to learning resources, skill-building workshops.Collaborative CultureBe part of a collaborative culture that values teamwork and open communication.Flexible Work EnvironmentEnjoy a flexible work environment that respects work-life balance. We understand the importance of flexibility.Cutting-edge TechnologyWork with the latest and most advanced technologies in the coding and development space as a member of our team.Impactful ProjectsContribute to projects that make a real impact. Our team takes on exciting challenges that push the boundaries.View Open RolesMindgard in the Newsscawardseurope.com / June 2025Mindgard wins Best AI Solution and Best New Company at the SC Awards Europe 2025!Read moreSafetydetectives.com / Feb 2025"The best AI security solutions will balance automation with oversight, assessment through red teaming, and strengthening defenses without introducing new vulnerabilities."Read the full article on safetydetectives.comForbes / Nov 2025"Google’s hot new AI coding tool was hacked a day after launch"Read the full article on ForbesTechCrunch.com / Dec 2024“Mindgard raises $8M to safeguard AI with industry-first AI security solution”Read the full article on TechCrunch.comTNW.com Podcast / May 2024"We discussed the questions of security of generative AI, potential attacks on it, and what businesses can do today to be safe."Listen to the full episode on tnw.comBusinessage.com / May 2024"Even the most advanced AI foundation models are not immune to vulnerabilities. In 2023, ChatGPT itself experienced a significant data breach caused by a bug in an open-source library."Read the full article on businessage.comFinance.Yahoo.com / April 2024"AI is not magic. It's still software, data and hardware. Therefore, all the cybersecurity threats that you can envision also apply to AI."Read the full article on finance.yahoo.comVerdict.co.uk / April 2024"There are cybersecurity attacks with AI whereby it can leak data, the model can actually give it to me if I just ask it very politely to do so."Read the full article on verdict.co.ukSifted.eu / March 2024"Mindgard is one of 11 AI startups to watch, according to investors."Read the full article on sifted.euMaddyness.com / March 2024"You don’t need to throw out your existing cyber security processes, playbooks, and tooling, you just need to update it or re-armor it for AI/GenAI/LLMs."Read the full article on maddyness.comFAQsLearn how Mindgard secures AI systems by applying attacker-aligned testing, continuous risk assessment, and runtime defense across models, agents, and applications.How is Mindgard different from AI safety or content moderation tools?AI safety tools focus on output quality and policy compliance. Mindgard focuses on security. It identifies how attackers exploit AI behavior, system interactions, and agent workflows to achieve real compromise, not just policy violations.Can Mindgard enhance system prompt security?Mindgard enhances system prompt security by simulating real attacker behavior to test whether prompts can be coerced, overridden, or bypassed. It identifies prompt injection weaknesses, guardrail gaps, and unsafe tool interactions, then provides clear evidence and remediation guidance to harden prompts and validate defenses over time.Can Mindgard detect shadow AI usage?Yes. Mindgard helps identify undocumented or unmanaged AI systems by enumerating behaviors, integrations, and access paths that expose hidden AI risk across the organization.Does Mindgard replace my security team or existing tools?No. Mindgard extends existing security teams by providing attacker-aligned visibility and automation that would otherwise require specialized expertise. It complements AppSec, cloud security, and governance tooling rather than replacing them.What makes Mindgard stand out from other AI security companies?Mindgard is built on over a decade of AI security research originating at Lancaster University and grounded in offensive security methodology. Rather than evaluating models in isolation, Mindgard tests AI systems the way real attackers do, uncovering high-impact risks that emerge from behavior, system interactions, and deployment context.How often should AI systems be tested?AI security testing should be continuous. Changes to models, prompts, tools, data sources, or user behavior can introduce new risks at any time. Mindgard is designed to test AI systems continuously as they evolve.Can Mindgard handle different kinds of AI models?Yes. Mindgard is neural-network agnostic and supports generative AI, LLMs, NLP systems, vision, audio, and multi-modal models. More importantly, it secures AI systems end-to-end, including agents, tools, APIs, data sources, and workflows that models interact with in production.How does Mindgard ensure data security and privacy?Mindgard follows industry best practices for secure software development and operation, including use of our own platform for testing AI components. We are SOC 2 Type II and GDPR compliant.Can Mindgard work with the LLMs I use today?Yes. Mindgard works with leading commercial and open-source LLMs and applies continuous testing across deployed models, agents, and applications. This enables teams to identify emerging risks as systems evolve, rather than relying on one-time assessments.What types of organisations use Mindgard?Mindgard serves a diverse range of organisations, including those in financial services, healthcare, manufacturing, and cybersecurity. Any enterprise deploying AI technologies can benefit from Mindgard's platform to secure their AI assets and mitigate potential risks. Why don't traditional AppSec tools work for AI models?Traditional AppSec assumes deterministic behavior and known vulnerability classes. AI systems are probabilistic, adaptive, and often autonomous, with risks that emerge only at runtime. Attacks such as prompt injection, agent misuse, and behavioral manipulation exploit how AI behaves and interacts with surrounding systems, requiring an attacker-aligned, system-level security approach. This lack of visibility is reflected in industry research from Gartner showing limited enterprise insight into AI risk.What is automated red teaming?Automated AI red teaming uses attacker-aligned techniques to continuously test AI systems for real-world exploitation paths. Mindgard automates reconnaissance, adversarial testing, and chained attack scenarios to surface high-impact vulnerabilities with speed, scale, and repeatability.Why is it important to test instantiated AI models?AI systems behave differently once deployed. Interactions with users, tools, data, and workflows can introduce vulnerabilities that do not appear during development. Continuous testing of deployed systems is essential to identify emergent risk, validate controls, and maintain security over time.What are the types of risks Mindgard uncovers?Mindgard focuses on risks that materially impact confidentiality, integrity, and availability, including behavioral exploitation, unauthorized data access, agent misuse, guardrail bypass, prompt injection, model extraction, and attack paths that pivot into surrounding enterprise systems.  Mindgard identifies various AI security risks, including:‍- Jailbreaking: Manipulating inputs to make AI systems perform unintended actions.- Extraction: Reconstructing AI models to expose sensitive information.- Evasion: Altering inputs to deceive AI models into incorrect outputs.- Inversion: Reverse-engineering models to uncover training data.- Poisoning: Tampering with training data to manipulate model behaviour.- Prompt Injection: Inserting malicious inputs to trick AI systems into unintended responses.Start Securing Your AI SystemsSee how Mindgard exposes and fixes exploitable AI risk across your AI agents and systems.Book a DemoMindgard, 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.HomeAI Recon & DiscoveryAI Security and Safety AssessmentAI Runtime ProtectionAI Red TeamingOffensive AI SecurityCompare AI Security SolutionsAI Governance & ComplianceContact UsBook a DemoDocsResourcesBlogDisclosuresCustomersAboutServicesCareersTerms & ConditionsPrivacy Policy --- DemoThe Mindgard PlatformTo defeat an adversary, you have to think like one. Mindgard merges hacker creativity with cyber expertise and world-class research to deliver enterprise-grade, AI-ready security.Book a DemoDiscover, Assess & Defend AI SystemsMindgard reveals how AI systems behave under adversarial pressure. By analyzing interactions across models, agents, and integrated systems, the platform surfaces exploitable vulnerabilities so security teams can prioritize and remediate the risks that matter most.Automate intelligence gathering on AI systems before adversarial testing. Discover prompts, tools, and behaviors attackers can exploit.Evaluate models and agents against security issues, policies, and unsafe scenarios.Red team AI systems, agents and infrastructure by emulating real attacker behavior to uncover high-impact vulnerabilities.Evaluate AI models for reliability and security weaknesses across text, image, audio, and multimodal systems.Continuously map and assess AI risk, validate defenses, and execute AI red teaming at scale, giving you clear visibility into vulnerabilities and confidence when reporting to stakeholders and auditors.Runtime detection and response applies context-driven guardrails, hardens system prompts, and delivers remediation guidance to protect AI systems.AI Security Posture ManagementReconnaissanceReveal attack surfaces through automated recon and behavioral analysis.Asset DiscoveryIdentify AI models, agents, integrations, and shadow AI across your environment.Risk AssessmentUncover exploitable vulnerabilities and prioritize high-impact risks.Runtime DefenseDetect malicious activity in production and automatically respond to AI attacks.Governance & ComplianceEmpower your engineering team to review reports and take action with ease.How Mindgard Secures AI SystemsAttacker-aligned testing methodologyContinuous security testing across the AI lifecycleIntegrates into existing infrastructure, workflow and automationSecurity teams use Mindgard to discover and remediate high impact risk. The platform integrates directly into development and security workflows so organizations can secure AI systems throughout their lifecycle.Book a DemoConnect Your AI SystemsSecure models, agents, and AI applications across development and production environments.Launch Automated Security TestingRun reconnaissance, safety testing, and adversarial evaluations across AI systems.Analyze AI Risk ExposureUnderstand vulnerabilities, attack paths, and the potential impact on enterprise systems.Integrate Findings Into Security WorkflowsSend reports to existing security tooling, ticketing systems, and engineering teams.Remediate and Strengthen DefensesPrioritize fixes and deploy protections to reduce exploitable AI risk.Most Popular ResourcesWhether you're just getting started with AI Security Testing or looking to deepen your expertise, our engaging content is here to support you every step of the way.January 22, 2026Modern AI Red Teaming: Probabilities, Vulnerabilities, and PsychometricsA technical exploration of modern AI red teaming, examining how probabilistic behavior, classic vulnerabilities, and psychometric steering combine to create real-world AI security risk.December 12, 2025Bringing AI Security into Your CI/CD with MindgardMindgard’s GitHub Action example repository shows how to integrate automated AI security testing into CI/CD pipelines so every model or code change is validated against the latest Mindgard capabilities.December 10, 2025Bypassing LLM guardrails: character and AML attacks in practiceThis study shows how simple character transformations and algorithmic evasion attacks can silently bypass six popular LLM guardrails, sometimes reaching one hundred percent evasion.Start Securing Your AI SystemsSee how Mindgard exposes and fixes exploitable AI risk across your AI agents and systems.Book a DemoMindgard, 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.HomeAI Recon & DiscoveryAI Security and Safety AssessmentAI Runtime ProtectionAI Red TeamingOffensive AI SecurityCompare AI Security SolutionsAI Governance & ComplianceContact UsBook a DemoDocsResourcesBlogDisclosuresCustomersAboutServicesCareersTerms & ConditionsPrivacy Policy --- DemoAI Recon & DiscoverySystematically gather intelligence about the deployed AI system to enable targeted AI red teaming, risk assessments and shadow AI discovery. Book a DemoAI Recon & DiscoverySystematically gather intelligence about the deployed AI system to enable targeted AI red teaming, risk assessments and shadow AI discovery.Book a DemoMap your AI attack surface through reconnaissanceDiscover how attackers perceive your AI by identifying behaviors, capabilities, connected infrastructure, including guardrails, and data sources. Establish attacker-level visibility into your AI environment to surface exposure early and guide effective security testing.Learn MoreGain visibility into your AI risk exposureBuild a complete understanding of your AI systems by uncovering how models behave, what they connect to, and where weaknesses emerge, including extracting and analyzing system prompts to expose the hidden logic attackers target and exploit.Build a complete AI risk inventoryGenerate AI inventory risk reports that map every component of your AI infrastructure, enumerate every tool call, and identify shadow AI. Centralize findings to reveal attack surface, benchmark AI risk posture, and support governance, compliance, and executive reporting.Learn MoreMost Popular ResourcesWhether you're just getting started with AI Security Testing or looking to deepen your expertise, our engaging content is here to support you every step of the way.January 22, 2026Modern AI Red Teaming: Probabilities, Vulnerabilities, and PsychometricsA technical exploration of modern AI red teaming, examining how probabilistic behavior, classic vulnerabilities, and psychometric steering combine to create real-world AI security risk.December 12, 2025Bringing AI Security into Your CI/CD with MindgardMindgard’s GitHub Action example repository shows how to integrate automated AI security testing into CI/CD pipelines so every model or code change is validated against the latest Mindgard capabilities.December 10, 2025Bypassing LLM guardrails: character and AML attacks in practiceThis study shows how simple character transformations and algorithmic evasion attacks can silently bypass six popular LLM guardrails, sometimes reaching one hundred percent evasion.Start Securing Your AI SystemsSee how Mindgard exposes and fixes exploitable AI risk across your AI agents and systems.Book a DemoMindgard, 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.HomeAI Recon & DiscoveryAI Security and Safety AssessmentAI Runtime ProtectionAI Red TeamingOffensive AI SecurityCompare AI Security SolutionsAI Governance & ComplianceContact UsBook a DemoDocsResourcesBlogDisclosuresCustomersAboutServicesCareersTerms & ConditionsPrivacy Policy