Compliance Automation Platform

The agentic complianceautomation platform

Phana sits in the same category as traditional compliance automation and GRC automation tools — continuous compliance, continuous controls monitoring, evidence collection automation, and audit readiness across SOC 2, ISO 27001, HIPAA, and PCI-DSS. What’s different is the engine underneath.

Legacy GRC was built for periodic audits and checklists that a human keeps up to date. Phana is autonomous GRC: AI agents that reconcile what you say, what you prove, and how you actually run — continuously, and scored on the content and facts behind every control rather than on whether a document exists.

Legacy GRC vs. Phana

Same category. Fundamentally different model.

Traditional and legacy compliance automation / GRC tooling and Phana aim at the same outcome — provable, audit-ready compliance. The difference is how the work gets done.

Comparison of legacy / traditional GRC automation and Phana’s agentic GRC approach across model, scoring basis, control registers, drift detection, and assessment.
DimensionLegacy / Traditional GRCPhana (Agentic GRC)
ModelPoint-in-time — periodic audits and scheduled checksContinuous compliance — 24/7/365 continuous controls monitoring
Scoring basisDocument presence — a checkbox that a policy was uploadedContent and facts — reads what the document actually says and verifies it against live evidence
Policy, evidence & procedureThree siloed registers linked by fields an operator filled inOne continuously-reconciled control graph — policy, evidence, and procedure kept in sync
Drift detectionNone or manual — drift surfaces at the next auditReal-time — the score moves the moment infrastructure diverges, with the failing check named
Evidence collectionManual screenshot chase, sampled by handEvidence collection automation — full population from 230+ cloud, SaaS, and browser sources
AssessmentA human ticking boxes against a checklistAgentic multi-pass AI assessment with adversarial review — status, 0–100 score, and 0–100 confidence

The lead differentiator

Three-way control sync, in one control graph

Legacy GRC stores three things in separate, siloed registers that a human fills in: policy (what you say you do), evidence (proof it happened), and procedure (how it actually runs). Nothing verifies the policy against live infrastructure. Phana computes the synchronization between all three continuously in one control graph.

Legacy GRC — manual

  • Operations team — manually links & keeps in sync
  • Auditor — verifies each by hand, at audit

Point-in-time. High drag. Drift goes unseen between audits.

Phana — one live control graph

Policysays: quarterly
Evidenceshows: 3 reviews ran
ProcedureSOP-014 linked

↓ reconciled continuously

One controlPASSED92 · conf 0.88

Operations & Audit teams — review, not re-verify.

When infrastructure drifts from policy, the score moves— with the failing check named and the day it started. Legacy GRC links three siloed registers with fields an operator typed in; Phana keeps one continuously-reconciled control graph where policy, evidence, and procedure are always checked against each other.

Scoring on substance

We don’t score a control because a file exists

Traditional compliance tools score on whether a document is present — a checkbox that a policy was uploaded. That tells you a file exists. It does not tell you the control is real.

Phana reads the actual content and factsinside your documents and evidence, and sets the control’s score and confidence thresholds on whether the claim holds up — whether what is written is true, complete, and reflected in the live environment. This is the same reconciliation as the three-way sync: policy content against real evidence against real procedure.

Legacy scoring

“Access-review policy uploaded” → control marked satisfied. Nobody checked whether reviews are actually happening.

Phana scoring

Reads the policy’s stated cadence, checks the live evidence that reviews ran on that cadence, and scores the control on whether the claim is true— with a confidence level attached.

Continuous, not periodic

Audits happen once. Compliance can’t wait.

Legacy GRCPoint-in-Time

364 Days

Annual blind-spot window

A periodic audit certifies one day. For the rest of the year, infrastructure can drift out of compliance with no one watching — until the next audit scramble.

PhanaContinuous

24/7/365

Continuous controls monitoring

Continuous verification with real-time drift detection. When live state diverges from policy, the score moves in minutes — the failing check named, the day it started recorded.

Agentic assessment

Multi-pass AI, not a human ticking boxes

Phana’s AI compliance engineer assesses every control with multi-pass LLM reasoning — including an adversarial review pass and reconciliation — so a single optimistic read never decides a control on its own.

Each control gets a per-control status, a compliance score, and a separate confidence level, all backed by the evidence and reasoning behind the decision.

Per-control status

PASSEDFAILEDPARTIALNEEDS_REVIEWNOT_APPLICABLE

0–100

Compliance score

0–100

Confidence level

Breadth

Collect once. Satisfy many.

78+

Frameworks, cross-mapped — SOC 2, ISO 27001, HIPAA, PCI-DSS and more

230+

Automated evidence sources feeding evidence collection automation

85

AWS services — plus Azure, GCP, and 80+ SaaS tools

13+

Document formats ingested — plus AI browser automation for non-API portals

AI browser automation captures evidence from web applications that have no API, so coverage isn’t limited to systems with clean integrations. All processing runs on AWS, in-region.

Enterprise use cases

Complexity legacy GRC can’t touch

Multi-framework control harmonization

Map duplicate requirements cleanly across SOC 2, ISO 27001, and HIPAA — verify once, report everywhere. Shared controls are reconciled across frameworks instead of re-evidenced one standard at a time.

Hybrid & multi-cloud integrity

Consolidate compliance views across AWS, Azure, GCP, and complex hybrid databases from a central portal — one posture, not a spreadsheet per environment.

Continuous infrastructure drift management

Instantly spot and remediate misconfigurations before they become critical security failures. Drift is caught as it happens, not at the next audit.

Fast-moving DevSecOps support

Stay dynamically in sync with high-velocity engineering teams pushing code continuously. Point-in-time checks are replaced with real-time enforcement built for agile pipelines.

FAQ

Compliance automation, answered

What is a compliance automation platform?

A compliance automation platform continuously collects evidence, monitors controls, and maps that evidence to framework requirements so an organization can prove compliance without manual spreadsheets and screenshot chases. Phana is an agentic compliance automation platform: autonomous AI agents handle evidence collection automation, continuous controls monitoring, and GRC automation across 78+ frameworks including SOC 2, ISO 27001, HIPAA, and PCI-DSS.

What is the difference between traditional GRC and agentic GRC?

Traditional GRC automation stores policy, evidence, and procedure in separate registers that a human fills in, then checks compliance periodically. Agentic GRC — Phana's approach — runs autonomous AI agents that reconcile policy, evidence, and live procedure continuously inside one control graph, assess every control with multi-pass AI reasoning, and detect drift in real time. The work that an operator or an outsourced virtual GRC team used to do by hand is done continuously by an AI compliance engineer.

How does continuous compliance differ from point-in-time audits?

A point-in-time audit certifies your posture on a single day, leaving a roughly 364-day blind-spot window in which infrastructure can drift out of compliance unnoticed. Continuous compliance monitors controls 24/7/365 with real-time drift detection, so when live infrastructure diverges from policy the score moves immediately — with the failing check named and the day the drift started.

Does Phana just check whether policy documents exist?

No. Phana does not score a control because a policy document was uploaded. It reads the actual content and facts inside each document and the evidence behind it, and sets the control's score and confidence thresholds on whether the claim holds up against the live environment — not on whether a file is present. Document presence is not evidence of compliance; verified content is.

Which compliance frameworks does Phana automate?

Phana automates 78+ frameworks, cross-mapped so you collect evidence once and satisfy many — including SOC 2, ISO 27001, HIPAA, PCI-DSS v4, GDPR, DORA, NIS2, and NIST SP 800-53, plus regional regulations across 30+ countries. Shared controls are harmonized across frameworks: verify once, report everywhere.

How is compliance scored?

Each control is assessed with multi-pass AI reasoning that includes an adversarial review pass and reconciliation, producing a per-control status (PASSED, FAILED, PARTIAL, NEEDS_REVIEW, or NOT_APPLICABLE), a compliance score from 0 to 100, and a separate confidence level from 0 to 100. Scores are derived from the actual content and evidence behind a control — whether what is written is true, complete, and reflected in live infrastructure — not from a checkbox that a document exists.

See agentic compliance automation in action

Continuous compliance, continuous controls monitoring, and GRC automation — scored on the facts, not on whether a file exists. Explore the full SCAN architecture or book a demo.