The Agentic Advantage:
Autonomous Compliance vs. Legacy GRC
Why static checklists and periodic sampling fail modern cloud engineering — and how autonomous AI agents maintain continuous, verifiable audit readiness across live infrastructure.
Direct Comparison
How agentic AI differs from traditional GRC tools
Legacy GRC runs on static checklists, manual evidence, and point-in-time sampling that leaves a 364-day blind spot. Phana’s agentic approach is autonomous and continuous: evidence collection automation from 230+ sources, continuous controls monitoring with real-time drift detection, and multi-pass AI assessment that scores on the content and facts behind each control, not on whether a document exists.
See the full Legacy GRC vs. Phana comparison →The SCAN Lifecycle
How Phana Velocity's Agentic Architecture Works
The Velocity Engine executes a continuous four-phase loop that turns raw infrastructure telemetry into audit-grade compliance assurance.
Scope
Org Compass
Maps entity boundaries, regulatory obligations across 78+ frameworks, and assesses pre-audit readiness state.
Collect
Evidence Fabric
Autonomous evidence harvesting from 230+ live sources — AWS, Azure, GCP, SaaS tools, and AI browser automation.
Assess
Compliance Cortex
Multi-pass AI assessment of controls with confidence scoring, automated gap analysis, and real-time drift detection.
Narrate
Assurance Loom
Synthesizes audit-grade artifacts: policies, SOPs, remediation pull requests, and auditor-ready compliance ledgers.
Ready to Move Beyond Manual Compliance?
See how Phana Velocity replaces months of manual evidence gathering with continuous, autonomous proof across your entire cloud estate.