Cyber Resilience Briefing — May 5, 2025

Executive briefing: Generative AI copilots and analytics platforms are embedding deeply into enterprise data flows, often with webhook and API access to regulated datasets. Zeph Tech is tuning vendor intake workflows, telemetry guardrails, and legal reviews so teams can scale AI capabilities without forfeiting control.

Key industry signals

Trust Services Criteria apply. SOC 2 CC7.2 emphasises monitoring vendor-provided services for anomalies—language that now applies to AI SaaS integrations streaming customer data.
Supply chain governance required. CIS Control 15 calls for maintaining an inventory of service providers, defining acceptable use, and monitoring performance, directly applicable to AI platforms consuming sensitive data.
AI risk frameworks mature. NIST’s AI Risk Management Framework highlights third-party risk, data provenance, and incident response as critical for trustworthy AI deployments.

Control alignment

SOC 2 CC7.2. Instrument AI vendor event streams with consistent schemas, tamper-evident signing, and retention policies so auditors can validate monitoring effectiveness.
CIS Control 15.1-15.3. Expand service inventories to include AI connectors, document data usage restrictions, and review vendor performance regularly.

Detection and response priorities

Alert when AI integrations escalate privileges, request scopes outside approved contracts, or transmit payloads to new regions.
Correlate AI vendor telemetry with outbound data transfer spikes to identify potential leakage or misuse.

Enablement moves

Deliver procurement checklists covering AI data residency, retention, fine-tuning controls, and incident notification timelines.
Host tabletop exercises with legal, privacy, and communications teams to align on AI incident response talking points.

Sources

Zeph Tech centralises AI vendor intake, event normalisation, and simulation so governance leaders can accelerate innovation without sacrificing control.