Fraud forensics, compliance monitoring, and risk intelligence—unified in one reasoning-first workspace. Every detection is evidenced. Every output is court-ready.
Detected and blocked by our enterprise clients.
Every detection links to tamper-proof evidence.
Real-time analysis for immediate action.
Exportable forensic reports for litigation.
Every tool is designed for verified, evidenced outputs that stand up in court and with regulators.
Detect AI-generated documents, synthetic signatures, and deepfake videos in KYC submissions with 99.7% accuracy.
Unmask fabricated identities from stolen SSNs and manufactured credit histories. Graph analysis detects identity rings.
AI-powered expense fraud detection across corporate cards, T&E claims. Catches duplicate invoices and ghost vendors.
Detect Business Email Compromise and invoice manipulation. AI catches payment redirection schemes before funds leave.
Multi-channel verification for vendor banking changes. Validates account ownership and triggers out-of-band confirmation.
Detect application fraud across mortgages, loans, and investment accounts. AI cross-validates income and employment data.
Automatically extract, categorize, and score risks from board minutes, audit findings, and incident reports. AI generates a structured register with likelihood/impact matrices and control recommendations.
Compare new regulation text against your existing policies. AI identifies exactly which internal documents need updating and generates a remediation action plan with priority ranking.
AI evaluates whether controls are designed adequately and operating effectively by analyzing procedures against execution logs and test results. Generates audit-ready testing workpapers.
Benchmark your entire compliance program against DOJ, FCA, and OCC guidelines. AI generates a maturity score with specific improvement recommendations for policies, training, and monitoring.
Extract risk clauses, coverage gaps, and SLA terms from vendor contracts and SOC 2 reports. Maps findings against DORA, OCC, and FCA requirements with exact references.
Identify undisclosed liabilities, related-party transactions, and beneficial ownership structures from M&A documents and corporate filings. Creates visual ownership charts.
Build visual dependency trees showing 3rd and 4th party relationships. AI flags concentration risks and identifies entities requiring additional screening from disclosures.
Compare internal vendor policies against actual documentation. AI identifies missing items and generates a gap report per vendor for immediate remediation.
AI identifies conflicts, ambiguities, and gaps in HR policies, IT usage procedures, and employment contracts that create legal exposure or unenforceable grounds.
Structure raw evidence (emails, logs, transcripts) into a legally defensible investigation report with timeline, evidence chain, and cited policy violations.
Categorize severity, suggest investigation scope, and flag retaliation risks in ethics reports. Maps complaints to relevant policies and laws automatically.
Assess wrongful termination risk by identifying documentation gaps in performance reviews and communications. Suggests steps to reduce litigation exposure.
Extract names, addresses, and vessels from contracts to screen against OFAC, UN, and EU lists. Highlights exact clause locations for all flagged entities.
Suggest ECCN/USML classifications and flag dual-use concerns from technical specs. Generates classification justification memos for license applications.
Extract ownership chains, calculate UBO percentages, and identify PEPs from registry docs and trust deeds. Flags structures common in sanctions evasion.
Check L/Cs, bills of lading, and invoices for red flags like unusual routing or sanctioned vessels. Validates document consistency and scores transaction risk.
Verify sustainability claims against internal operational data and supply chain records. AI flags potential greenwashing by identifying inconsistencies in carbon data.
Compare climate disclosures against TCFD and SEC requirements. Identifies missing metrics or insufficient detail in transition risk and physical risk sections.
Automate data extraction from supplier ESG surveys and audit reports. Ranks suppliers based on human rights and environmental risk scores.
AI-driven mapping of environmental impacts on enterprise value and social impacts on external stakeholders. Prepares findings for ESRS compliance.
Map internal controls to multiple overlapping frameworks (GDPR, HIPAA, SOC2) simultaneously. Visualize compliance coverage and identify "assess once, satisfy many" opportunities.
Compare representations made in different document types (e.g., Prospectus vs. Marketing Pitch vs. Side Letter) to ensure absolute consistency in disclosure.
Automatically assemble audit-ready evidence packages by linking specific transaction logs, emails, and approval records directly to regulatory requirements.
Synthesize disparate warnings across AML, Fraud, and Sanctions tools into a single, cohesive risk narrative for SAR filing or executive briefing.
Immutable evidence chains for every fraud detection and compliance decision. Full traceability from alert to action, with court-ready exports.
Cryptographic hashes ensure evidence integrity from detection to court.
Built-in case management with approval chains and audit trails.
Generate forensic evidence packs accepted by courts and regulators.
See how leading enterprises are using Xybern to detect fraud, ensure compliance, and build court-ready evidence chains.
