Regulatory Compliance Monitoring

We convert critical controls into automated tests that pull evidence from cloud platforms, data warehouses, CRM/ERP, IdP, and endpoint tools. Each test has logic, thresholds, sampling rules, and pass/fail criteria with clear evidence links. Dashboards show coverage, control efficacy, and mean-time-to-remediate by domain. When exceptions are detected, tickets are automatically created with a responsible owner and due date. Quarterly attestations are supported with one-click evidence bundles.

We monitor email, chat, collaboration tools, and voice transcripts using policy classifiers and LLM-assisted review. This includes detection of conflict-of-interest language, off-channel activity, marketing claims, insider risks, and potential record-keeping issues. We tune models with feedback loops to cut false positives and route alerts to case management with full conversation context and redaction for privacy.

We use rule-based logic, graph features, and anomaly detection models to flag irregular patterns across payments, orders, refunds, and account-related activity. Sanctions and watchlist checks are kept current, with fuzzy matching, transliteration, and explainable scoring. KYC profiles are auto-refreshed from trusted data sources; risk ratings adapt as new events arrive. All alerts carry “why-this-alert” features, audit trails, and investigative workflows.

We classify and extract clauses, obligations, renewal dates, and counterparty attributes from policies, SOPs, and third-party contracts. Clause libraries highlight gaps against internal standards; renewal and certification deadlines feed a compliance calendar. Evidence such as SOC reports and penetration test summaries can be attached, and remediation commitments are tracked through to closure.

We discover and label personal and sensitive data across data stores, build processing inventories, and capture lawful bases and retention rules. Data flows are mapped from collection to deletion with lineage in the warehouse. Privacy impact assessments are templatized; DSAR and consent logs are queryable. Access controls and retention jobs are monitored, and exceptions are escalated where necessary.

We ingest security and compliance artifacts (audits, attestations, certifications), plus external risk signals and breach feeds. Each vendor gets a dynamic risk score, control gaps, and remediation tasks. Contract terms and SLAs are linked to obligations, and evidence collection is automated before renewals. High-risk changes trigger escalation and, where appropriate, additional monitoring until resolved.

We register models and AI services (including LLMs), track versions, training data, and approvals, and monitor drift, bias, toxicity, and data leakage. For generative AI, we log prompts/outputs, apply usage policies, and detect sensitive information or prohibited actions. Validation packs include performance, fairness, and robustness tests with sign-off checkpoints and a full audit trail.

We produce audit-ready packs on demand: obligation status, control coverage, evidence indexes, exception logs, model validation records, incident timelines, and board-level summaries. Reports are parameterized by period, business unit, and domain, and export to PDF, XLSX, or data feeds for your BI tools. Every metric links back to the underlying evidence for quick sampling.