CYE AI

Your Personal AI Agent

Ask questions in plain language and get fast, grounded answers about exposure, attack paths, maturity, and mitigation strategies.

CYE AI lets you interact with your data in a secure environment – so you can ask questions without copying sensitive information into public tools.

As your personal cyber agent, it turns insights into board-ready reports, recommends practical mitigation steps, and helps you move from “what does this mean?” to “what do we do next?” based on your environment.

AI-Driven Data Ingestion & Mapping

Make every pen-test and assessment report immediately actionable.

Import your existing reports in any format – PDFs, sheets, CSVs, and more – no cleanup or reformatting required. CYE AI automatically extracts findings, deduplicates results, and maps only what matters onto your organization’s attack graph – keeping exposure and maturity top-line metrics accurate and actionable, and revealing the attack vectors most likely to reach your critical business assets.

AI-Accelerated Integrations

Integrations with your security tools are also faster and more effective than ever. AI automates mapping, deduplication, and correlation across sources – connecting the dots so you get a cleaner, more complete, and more actionable exposure view.

The result: you move from “we have data” to “we have clarity.”

Turn AI Governance Into Action

Turn ISO/IEC 42001 requirements into actionable risk mitigations.

With ISO/IEC 42001 mapped to NIST CSF, CYE helps you interpret requirements, organize evidence, and close gaps faster.

AI Flags Urgent Action Items

Know instantly what needs attention now – without digging through dashboards.

Major risk shifts and meaningful changes are instantly visible on your main dashboard. AI-powered highlights surface what materially changed in your organization’s risk and why it matters. Teams can dig deeper to understand the drivers, assess impact, and decide what to do next.

Machine Learning Powered Exposure Analytics

CYE’s exposure analytics use advanced math and machine-learning models to deliver predictable, explainable results based on real data. GenAI supports by gathering and validating the inputs; classical ML predictive models then produce the metrics with proven accuracy.

Likelihood of Breach (LoB)

LoB is calculated via AI-driven data ingestion and Monte Carlo simulations to map critical-to-block paths.

Cost of Breach (CoB)

CoB predicts financial impact using validated ML methods (e.g., linear regression, decision trees, random forests) trained on large-scale patterns – producing model-driven estimates, not generic ranges.

Stay Ahead of AI Threats

Reduce AI risk end-to-end with security posture assessments led by CYE’s elite cybersecurity experts.

We help you identify and reduce AI risk across the organization, secure AI use throughout the SDLC, and assess the security posture of internally developed LLMs.