End-to-End Security for Your AI Stack
Your AI is live. But is it safe? An AI-native security platform that makes intelligent decisions in real time — protecting every LLM you use from prompt injection, data leaks, jailbreaks, bias and compliance violations.
The AI security crisis
Traditional security tools can't keep up with AI-native threats. Prompt injection manipulates AI responses to extract sensitive data. PII leaks violate privacy regulations. Jailbreaks bypass safety guardrails. Uncontrolled output erodes customer trust. You need security that thinks — not just blocks.
- AI-native architectureBuilt from the ground up for GenAI — not retrofitted from traditional security.
- Autonomous decision-makingReal-time threat blocking with self-learning agents — no human intervention needed.
- Comprehensive coverageText, code and vision modalities with multilingual support.
- Any LLM compatibleOpenAI, Claude, Mistral, open-source and custom models.
Frequently asked questions
Prompt injection, PII and data leakage, jailbreaks and exploits, biased or toxic output, and compliance violations — across every LLM in your stack.
Average deployment is 30 minutes via APIs, SDKs or proxy, with real-time blocking at under 9 milliseconds of latency.
Yes — the platform is model-agnostic and protects OpenAI, Claude, Mistral, open-source and custom models across text, code and vision.
Ready to explore what AI can do for you?
Whether you're exploring AI, modernising analytics or strengthening security, our team will help you scope a practical, secure path forward.
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