Governance for the buyer, specific to your context.

Shadow AI discovery is the process of finding unmanaged AI models, agents, and third-party assistants in an enterprise. ShadowIQ unifies five discovery signals (network, endpoint, SaaS OAuth, code scan, identity) into a continuously updated AI Bill of Materials with owners and lineage.

ShadowIQ model risk management (MRM) combines an auto-populated model and agent registry with continuous evaluation, lineage tracking, DPIAs, and cryptographically signed change records — aligned to SR 11-7, EU AI Act Article 17, and ISO 42001.

Prompt injection defense in ShadowIQ uses a multi-classifier ensemble (rule-based, small classifier, and LLM-judge quorum) tuned on 2,400+ labeled adversarial samples, enforcing inline at the AI gateway with p99 latency under 75ms and cryptographically signed decisions.

ShadowIQ prevents AI data leakage by detecting PII, PCI, PHI, and customer-schema identifiers inline at the AI gateway, applying redaction, tokenization, or denial actions in under 75ms with cryptographically signed evidence of every decision.

Third-party AI risk assessment in ShadowIQ combines an automated vendor questionnaire with continuous signals (latency, PII handling, training-data policy, subprocessors, breach history) to produce a quantitative vendor risk score aligned to EU AI Act Article 25, NIST AI RMF, and SOC 2.

ShadowIQ agent supervision provides per-hop tracing, evaluation, and policy enforcement for long-horizon AI agents — including tool-use allowlists, memory isolation, runtime sandboxing, and cryptographically signed decision records at every agent step.

ShadowIQ AI incident response reconstructs signed, timestamped forensic timelines of AI incidents in minutes from the cryptographic evidence ledger, with OCSF event export to SIEM and chain-of-custody preservation acceptable to regulators.

ShadowIQ AI audit readiness provides OSCAL-formatted audit exports (System Security Plans, component definitions, assessment results), a zero-trust auditor workspace, and cryptographically signed evidence mapped to EU AI Act, NIST AI RMF, ISO 42001, SOC 2, and HITRUST.