Our AI engine doesn't just analyze data — it predicts, preempts, and automates response before adversaries can execute their TTPs.
LLMs trained on adversary playbook data predict next-move scenarios with 94% accuracy and continuous self-improvement.
NLP generates executive briefings, technical analysis, and regulatory reports in seconds from raw forensic data.
Real-time UEBA with adaptive baselining scoring thousands of user and entity behaviors in milliseconds.
AI-driven attack simulation that continuously tests defenses, adapts to changes, and provides actionable hardening insights.
// CYFORi AI Engine v3.2 const threatEngine = new CYFORiAI{ model: "gpt-cyber-v3", sensitivity: 0.97, sources: ["darknet", "honeypot"], autonomous: true }); const predict = await threatEngine.predict{ target: "your-infra" }; // returns playbooks, TTPs // threat profiles & IoCs // & automated containment threatEngine.deploy(predict); .then(() => { console.log("Defense active."); });
Machine learning models trained on millions of global threat events predict attack vectors with 94% accuracy before they materialize.
AI auto-generates compliance documentation — mapping controls, drafting policies, and producing evidence packages automatically.
AI simulates thousands of attack scenarios in parallel, identifying infrastructure weaknesses and recommending prioritized hardening.
Once threats are identified and validated, AI triggers automated containment playbooks with zero human delay.