Enterprise AI risk monitoring and compliance
Riskora AI helps CISOs, compliance officers, and AI governance teams discover shadow AI, monitor model and agent risk, and produce audit-ready evidence mapped to the EU AI Act, NIST AI RMF, ISO 42001, SOC 2, GDPR, and HIPAA.
Riskora inventories LLMs, classical ML systems, agentic workflows, datasets, endpoints, vendors, and unsanctioned AI tools so regulated organisations can understand what is running, who owns it, what data it touches, and which controls apply.
Enterprise AI risk monitoring is the continuous detection and measurement of risks in AI systems running inside an organisation. That includes model drift, bias, prompt injection, data leakage, hallucinations, shadow AI use, and policy violations.
Riskora maps controls to NIST AI RMF, ISO 42001, the EU AI Act, SOC 2, GDPR, and HIPAA. Internal policies can be mapped to the same control library so one piece of evidence satisfies multiple frameworks.
Yes. Riskora monitors hosted and self-hosted large language models, classical ML pipelines, and agentic systems where multiple models and tools cooperate.
Riskora inspects prompts, tool calls, and responses in real time, then flags injection patterns, jailbreaks, exfiltration attempts, and PII or secret leakage.
Most teams are live in days, not quarters. Riskora connects to AI providers and data warehouses through standard APIs and can start with read-only discovery.
Customer data is stored in segregated tenants in EU or US regions, encrypted at rest and in transit. Riskora is SOC 2 Type II in progress and aligns with ISO 27001.
Riskora discovers unsanctioned AI tools by scanning network egress, browser activity, SaaS audit logs, and model API calls, then helps teams move users into approved tools.
Riskora combines full estate coverage, fast deployment, and a single control library that maps once across NIST AI RMF, ISO 42001, and the EU AI Act.