RisksRadarAI monitors sensitive organizational data. Here's exactly how we protect it.
When deployed on your infrastructure, no data ever leaves your network. AI inference runs locally via Nemotron models. We have zero access to your data.
Each organization has a completely isolated database, separate encryption keys, and dedicated agent sandboxes. No cross-tenant data access is possible.
We analyze email/chat metadata (frequency, timing, response latency). We never read message content. Ever.
When cloud inference is used, the Privacy Router strips all personally identifiable information before any data reaches external APIs.
Every AI agent runs in a policy-controlled sandbox with four isolation layers:
SAR generation, override monitoring, transaction forensics
Internal control monitoring, audit trails, segregation of duties
On-prem deployment for PHI, access monitoring, breach detection
Article 88 employee data, anonymization, right of access
Explainability, human oversight, risk management, transparency
Identify, Protect, Detect, Respond, Recover functions
Human-in-the-loop: All AI-generated alerts require human review before any action is taken. No automated personnel decisions.
Bias monitoring: Demographic attributes are never used as model inputs. Quarterly fairness audits check for disproportionate flagging across groups.
Explainability: Every alert includes a chain-of-thought reasoning chain showing exactly how the conclusion was reached, with source data citations.
Consent and transparency: Organizations are expected to inform employees about monitoring scope. We provide consent management tools and privacy controls.
For security assessments, penetration test reports, or compliance documentation:
security@aigovhub.io