Every AI tool. Every decision.
Every line of evidence.

Shadow AI Discovery

The moment the Chrome extension is deployed across your organization, Draxion begins building a complete, real-time map of every AI tool in use — approved, unapproved, and unknown. Most organizations discover 15–20 tools they never knew existed within the first 24 hours of deployment.

Data Leakage Prevention (DLP)

Real-time scanning of every paste and submission event on AI tool domains. Draxion detects PII, credentials, source code, financial data, and medical records client-side — before content is submitted to external models. The employee sees a coaching notification. You see the classification log. The raw content never leaves the browser.

Employee Risk Scores

Every monitored employee receives a dynamic risk score (0–100) calculated from their actual AI behavior — which tools they access, how frequently, whether those tools are approved, and whether they have triggered DLP events. Risk scores update in real time and are available to security teams and managers.

Department Risk View

Aggregate employee risk scores by team, department, or business unit. See which parts of your organization are running the highest AI risk, where DLP events are concentrated, and which managers need to have a governance conversation with their team. Drill from org-wide down to individual in two clicks.

Real-Time Detection Feed

A live command center displaying every AI tool detection event across your entire organization as it happens. Filter by risk level, department, tool category, or individual employee. Sort by severity or recency. Export any view directly for compliance review or incident documentation.

AI Acceptable Use Policy Generator

Answer 6 questions about your organization — industry, size, applicable regulations, and current tool inventory. Draxion generates a complete, legally grounded AI acceptable use policy in under 2 minutes, with every provision citing the specific regulation article that justifies it. The draft is reviewed by a simulated hostile auditor before you see it — any unsubstantiated claim is flagged and revised.

Tool Approval Workflow

When the discovery feed identifies an unapproved tool, your security team can formally review, approve, conditionally approve, restrict, or block it with a single click. Every decision is timestamped with the reviewing officer’s identity, linked to the risk assessment that justified it, and stored in an immutable audit record. This is the paper trail regulators specifically ask for under GDPR Article 32 and EU AI Act Article 9.

Executive AI Liability Tracker

Under EU AI Act Article 5 and Article 9, executives who approve or deploy high-risk AI systems may face personal liability. Draxion records every AI system approval, rejection, and risk escalation by the authorizing executive, with digital attestation workflows that create a defensible record of informed decision-making. A board-facing dashboard shows every approved system, its risk classification, and who signed off.

AI Contract Intelligence Engine

Upload any AI vendor contract, terms of service, or data processing agreement. Draxion extracts and risk-scores every clause that matters to your legal and security team: data training policies, data residency requirements, liability caps, IP ownership clauses, GDPR Article 28 compliance gaps, and model update notification obligations. Risk score and negotiation points delivered in under 30 seconds.

7-Framework Compliance Reports

Monthly audit-ready compliance reports generated automatically across seven frameworks: GDPR, EU AI Act, SOC 2, ISO 27001, HIPAA, SOX, and NIST AI RMF. Every claim in every report cites the specific article from the relevant regulation — retrieved in real time from Draxion’s embedded regulatory knowledge base. No hallucinated citations. No generic statements. Reports are designed to be handed directly to auditors.

Regulatory Knowledge Base

48 curated regulatory chunks stored as vector embeddings — the actual statutory text of GDPR, EU AI Act, HIPAA, SOC 2, ISO 27001, NIST AI RMF, SOX, and FERPA. Before Draxion generates any policy, report, or compliance claim, it retrieves the relevant regulation text using semantic search and grounds every output in that text. This is what separates Draxion’s compliance outputs from generic AI-generated templates.

Draxion Governance Score (DGS)

Coming in Phase 3.5

A 0–1000 composite governance score calculated across 8 components: detection coverage, policy completeness, incident response speed, employee AI literacy, vendor risk management, executive accountability, regulatory currency, and industry percentile. Think of it as the FICO score for your AI governance program — a single number that tells your board, your auditors, and your insurers exactly where you stand.

NIST AI RMF Assessment

A structured questionnaire covering all four NIST AI Risk Management Framework functions — Govern, Map, Measure, and Manage — with 164 individual assessment items. Draxion pre-fills answers it can derive from your account data, reducing completion time from weeks to hours. The output is a formal NIST AI RMF compliance report ready for government clients, federal contractors, and organizations preparing for AI-related audit requirements.