Cyberhaven Launches Flow to Secure Data Across Human and AI Workflows
What Happened — Cyberhaven introduced Flow, an AI‑native data security platform that extends visibility, classification, and protection to every human‑to‑human, human‑to‑AI, and AI‑to‑AI workflow across endpoints, browsers, and cloud environments. The solution ties data lineage, identity, and behavior signals to automatically enforce policies and prevent exfiltration.
Why It Matters for Compliance & Audit Readiness
- Flow’s real‑time lineage and policy enforcement generate continuous, machine‑readable evidence of data‑handling controls—exactly the type of audit‑ready logs SOC 2 auditors expect.
- By mapping data movement across AI agents, organizations can close control gaps that would otherwise appear as “unknown” in a SOC 2 Trust Services Criteria assessment.
- Automated configuration and detection reduce reliance on manual processes, strengthening the “Control Activities” and “Monitoring” components of a continuous‑compliance program.
Who Is Affected — Enterprises that employ AI‑driven tools in any industry (technology, finance, healthcare, manufacturing, etc.) and that are pursuing or maintaining SOC 2 compliance.
Recommended Actions
- Map Flow’s data‑lineage events to your SOC 2 “Logical Access” and “Data Security” controls; capture the generated logs as audit evidence.
- Validate that AI‑agent activity is covered by your existing DLP/DSPM policies and update the policy inventory accordingly.
- Incorporate Flow’s automated alerts into your continuous monitoring dashboard to demonstrate ongoing control effectiveness.
Source: Help Net Security
Technical Notes — Flow operates via lightweight agents on endpoints, browsers, and cloud workloads; it builds a knowledge‑graph of data lineage and scores AI agents for risk based on observed read/write/transform actions. No specific CVEs are disclosed. Source: same article