AI adoption moved faster than most security programmes could follow. Every new model, plugin, and AI tool adds risk that traditional security was never built to see.
Intrinsic AI Secure closes that gap — discovering every AI asset in your environment, stopping attacks unique to AI, and governing usage in real time, without slowing your teams down.
AI isn't a future risk. It's already live, already embedded, and already expanding faster than most security teams can track.
At the same time, an organisation’s brand remains a persistent target for cybercriminals through fraudulent domains, phishing infrastructure, fake social media accounts, and dark web exposure.
Security fears can stall enterprise AI adoption, while jailbreak and prompt-manipulation techniques have moved from research environments into real production systems.
Continuous visibility across infrastructure, brand, credentials, and underground activity enables organisations to identify and reduce external exposure before it can be exploited.
Risk lives across the model, training data, plugins, integrations, applications, and every new AI workload introduced into the business.
Autonomous agents that act, transact, and decide on their own introduce risks conventional application security was never designed to catch.
Unresolved AI security concerns can become the reason enterprise AI projects stall at pilot, delaying the roadmap and business value.
Jailbreaking and prompt-manipulation techniques are now automated, operational, and targeting real production AI systems.
Three moves. Full coverage. Discover every AI asset, see the risk across models and applications, and mitigate threats in real time while governing AI usage continuously.
Discover every AI workload, model, data source, application, and user in your environment — including the shadow AI nobody told you about.
Detect misconfigurations, vulnerabilities, and adversarial weaknesses across models and applications before an attacker finds them first.
Protect production AI against prompt injection, data leakage, and model denial-of-service — live, continuously, as it happens.
Apply policies and controls continuously as AI usage changes, keeping access, applications, models, and data governed in real time.
Ongoing monitoring and expert guidance keep your AI security posture current as fast as the threat landscape moves.
A coordinated AI security capability spanning visibility, validation, runtime protection, data and model security, identity, supply chain risk, and managed advisory services.
Automatic discovery of every AI application in use, with policies that keep shadow AI in check.
Structured, algorithmic testing of models and applications for safety and security gaps before they reach production.
Real-time defence for production AI — stopping prompt injection and adversarial inputs as they happen, not after.
Protection for sensitive data, IP, and model integrity across the full AI lifecycle.
Oversight of third-party models, training data, and components — the risk you didn't build, but still own.
Security that follows your AI workloads across every cloud and SaaS environment they touch.
Control over who — and what, when it's an autonomous agent — can access and act on your AI systems.
Ongoing monitoring and expert guidance, keeping your posture current as fast as the threat landscape moves.
AI security isn't being figured out in isolation — it is being defined by NIST, MITRE ATLAS, and the OWASP LLM Top 10.
Intrinsic AI Secure is built to track these standards as they evolve, so your AI security posture never falls behind the regulatory curve.
Intrinsic AI Secure doesn't sit in its own silo. Findings feed straight into Intrinsic Protect, SIEM 360, and Cyber Threat Intelligence — AI risk treated as part of one defence, not a separate problem.