Intrinsic AI Security is purpose-built to secure live, production AI environments where generative AI, large language models (LLMs), SaaS AI tools, and cloud-based AI workloads are already embedded into everyday business operations. Designed for modern enterprises adopting AI at speed, it delivers AI-aware security controls, continuous monitoring, and automated response across the entire AI ecosystem without slowing innovation.
Modern AI systems operate at scale, process sensitive data, and influence critical business decisions. As AI becomes business-critical, traditional security controls are no longer sufficient. This reality introduces several critical challenges:
AI systems introduce novel, AI-specific attack vectors and governance gaps
Adversarial inputs, prompt injection, and model poisoning threaten AI integrity
Sensitive data, intellectual property, and training datasets are exposed through prompts and outputs
Unauthorized access and misuse of AI capabilities bypass traditional controls.
AI-driven decisions require trust, accuracy, and reliability.
Autonomous and real-world AI systems amplify safety and business impact.
Regulatory expectations demand provable control, monitoring, and resilience.
Intrinsic AI Security exists because AI is already deployed, widely used, and business-critical. As organizations accelerate AI adoption for automation, productivity, and decision-making, new security risks emerge that traditional tools were never designed to address. Intrinsic AI Security closes these gaps by securing AI usage, data, models, infrastructure, and identities—enabling enterprises to innovate with confidence while maintaining control and trust.
