aiFObserve
aiFObserve
Evidence packages for AI governance, privacy, and cybersecurity audits
The aiFObserve Compliance Generator turns passive IPFIX Biflow session records into regulation-specific PDF evidence packages. It analyzes forward and reverse traffic, provider usage, anomalies, after-hours behavior, data classification enrichment, and report-specific control mappings without inspecting AI prompts or response payloads.
| Capability | Compliance value | Evidence produced |
|---|---|---|
| Biflow normalization | Converts raw session data into audit-ready forward/reverse session metrics. | Prompt/request MB, response MB, duration, ports, ASN, endpoints. |
| Provider inference | Maps destinations to AI/cloud providers using enriched fields, ASN, and IP prefixes. | Provider traffic register and endpoint inventory. |
| Risk signal detection | Flags behavior that needs compliance, security, or privacy review. | After-hours flows, large transfers, high asymmetry, shadow AI indicators. |
| Section analysis | Maps telemetry evidence to each framework section instead of one generic score. | PASS, REVIEW, WARN findings with next actions. |
| Complete PDF packages | Produces signed-ready audit artifacts for control owners and auditors. | Cover, TOC, executive summary, charts, tables, attestation, appendices. |
The generator can create all reports at once or accept an explicit list through --reports or --reports-file.
| Privacy / AI Governance | Security / Cyber | Financial / Regional |
|---|---|---|
| GDPR: Arts. 5, 6, 9, 25, 30, 32, 33, 35, 44 | SOC 2: CC2, CC5, CC6, CC7, A1, C1, PI | PCI DSS 4.0: Req. 1, 2, 3, 4, 7, 8, 10, 11, 12 |
| CCPA/CPRA: notice, rights, disclosure, security | ISO 27001:2022 Annex A asset, access, logging, monitoring | NYDFS 23 NYCRR 500: program, access, risk, inventory, incident notice |
| India DPDP Act: Sec. 4, 5, 6, 7, 8, 10, 16 | NIST CSF 2.0: Govern, Identify, Protect, Detect, Respond, Recover | RBI cybersecurity: monitoring, outsourcing risk, data localization |
| EU AI Act: Arts. 5, 9, 10, 12, 13, 14, 15, 26, 50, 72/73, 77 | AI security anomaly review from network telemetry | Provider and cloud endpoint evidence for vendor review |