Autonomous GRC Platform
GRC Platform for Autonomous Compliance — Continuous Without the Busywork
A GRC platform that replaces audit panic with continuous compliance. AI agents monitor, collect evidence, and remediate your controls 24/7 — so your compliance posture is always current.
Trusted by 150+ enterprises worldwide
The Compliance Reality
You Call It Compliance. Your Team Calls It Survival Mode
Every year it's the same story. Five months of business-as-usual, then six weeks of scrambling — chasing screenshots, begging engineers for configs, and hoping nothing falls through the cracks before the auditor arrives.
Compliance Theater
Point-in-time audits give you a snapshot — not a picture of reality. You pass the audit on Tuesday, and a misconfigured S3 bucket opens on Wednesday. Nobody notices until the next cycle.
The People Tax
Your best security engineers are spending 30% of their quarter gathering evidence and filling out spreadsheets. That's senior talent doing junior work — and they're burning out.
Audit Roulette
Every audit finding is a surprise because you only look at controls four weeks before the auditor shows up. By then, the fix backlog is six months long and the board wants answers.
The Shift
From Static Snapshots to Continuous Compliance
Legacy GRC tools digitized the spreadsheet. We replaced the process entirely. Autonomous GRC means AI agents that continuously sense, decide, act, and verify — so your compliance posture is always current, never stale.
Sense
Agents continuously scan your infrastructure, configs, access logs, and third-party tools for control status.
Decide
AI evaluates findings against your compliance frameworks, risk appetite, and organizational policies.
Act
Automated remediation patches misconfigurations, revokes excess permissions, and triggers workflows.
Verify
Every action is logged with tamper-proof evidence. Continuous validation confirms the fix actually worked.
Why This Is Inevitable
Regulatory pressure is accelerating — SEC cyber rules, DORA, NIS2, new state privacy laws. At the same time, AI agents have reached the maturity to reliably monitor and act on complex compliance logic. The window between "manual GRC" and "autonomous GRC" is closing fast. Early movers gain audit confidence. Late movers inherit risk.
How It Works
Three Steps. Zero Spreadsheets.
Go from zero to continuous compliance in under 48 hours — not quarters.
Connect
Plug into your existing stack. No agents to install, no architecture changes.
- AWS, Azure, GCP native integrations
- Identity providers (Okta, Azure AD)
- Endpoint tools (CrowdStrike, SentinelOne)
- Ticketing (Jira, ServiceNow)
- 600+ integrations out of the box
Monitor
AI agents validate every control, every hour — not every quarter.
- Continuous control validation
- Real-time drift detection
- Automated gap analysis
- Cross-framework mapping
- Risk-prioritized alerting
Prove
When your auditor asks for evidence, it's already there — timestamped and verified.
- Auto-generated evidence packages
- Tamper-proof audit trails
- One-click auditor export
- Framework-specific report templates
- Continuous readiness scoring
Capabilities
Everything Your GRC Team Needs. Nothing They Don't.
Risk Register
Always current. Never a guessing game.
Your risk register updates itself from live infrastructure data, threat intelligence, and control status. No more quarterly manual reviews that are outdated the day they're published.
Evidence Collection
Collected before you ask for it.
Screenshots, logs, configurations, and access reviews — captured automatically, timestamped, and mapped to controls. Your team stops chasing artifacts and starts focusing on security.
Compliance Mapping
One control. Every framework. Automatically.
AI maps your controls across SOC 2, ISO 27001, NIST, GDPR, HIPAA, and PCI DSS simultaneously. Implement once, satisfy many — without a consultant and a crosswalk spreadsheet.
Document Repository
Questionnaires answered in minutes, not weeks.
Security questionnaires, vendor assessments, and policy documents auto-populated from your actual environment. Responses are accurate because they're generated from live data, not last quarter's memory.
Remediation Playbooks
Fixes that execute themselves.
When a control fails, the platform doesn't just alert you — it fixes the issue. Auto-patching for cloud misconfigurations, access anomalies, and policy violations with full rollback capability.
Audit Readiness Dashboard
Know your score before the auditor does.
A real-time compliance score across every framework you care about. Drill into any control to see status, evidence, owner, and remediation history — all in one place.
Real Results
What Changes When Compliance Runs Itself
Results from enterprise deployments including a Fortune 500 metals and mining conglomerate.
"We went from dreading audit season to barely noticing it. The platform caught misconfigurations we'd been missing for months and had evidence ready before our auditor even asked. My team finally works on security instead of paperwork."
CISO, Fortune 500 Enterprise
Metals & Mining | 50,000+ employees
What Is a GRC Platform?
Understanding governance, risk, and compliance software — and why the category is evolving.
A GRC platform is software that brings governance, risk management, and compliance into a single system. Instead of tracking security controls in spreadsheets, collecting audit evidence in shared drives, and managing risk registers in slide decks, a GRC platform centralises these activities so they can be monitored, measured, and reported from one place.
At its core, a GRC platform answers three questions continuously: Are our security controls working? (governance), What could go wrong and how likely is it? (risk), and Can we prove we meet regulatory requirements? (compliance). The platform maintains a live inventory of controls, maps them to the frameworks you care about — SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, RBI — and tracks evidence that demonstrates those controls are operating effectively.
The GRC platform category has evolved through three generations. First-generation tools digitised the spreadsheet — replacing manual tracking with forms and workflows, but still requiring humans to validate every control and collect every artifact. Second-generation tools (Vanta, Drata, Sprinto) added automated monitoring and evidence screenshots, significantly reducing manual effort. Third-generation platforms — autonomous GRC — close the loop entirely: they sense control status from live infrastructure, evaluate findings against compliance logic, remediate issues automatically, and verify that fixes worked with tamper-proof evidence.
A compliance automation platform in this third generation doesn’t just tell you something is broken — it fixes the issue and proves it was fixed, without a human in the loop. This is where the industry is heading, and it’s the approach that Hunto AI’s GRC platform takes. For organisations still running first- or second-generation tools, the gap between their compliance posture and their perceived compliance readiness widens every quarter as infrastructure complexity grows.
GRC Platform vs. Manual Compliance
Specific time, cost, and coverage improvements when you move from manual processes to a GRC platform.
| Dimension | GRC Platform (Hunto AI) | Manual / Spreadsheet |
|---|---|---|
| Audit Preparation | < 48 hours — evidence already collected and mapped | 6–8 weeks of manual scrambling across teams |
| Evidence Freshness | Real-time — captured continuously with timestamps | Stale within days of collection |
| Control Visibility | 98%+ controls monitored in real time | ~60% coverage, checked quarterly at best |
| FTE Cost | 0.5 FTE oversight — AI handles operational work | 3–5 FTEs dedicated to compliance ops |
| Audit Findings | 0–2 per cycle — drift caught and fixed in real time | 12–15 findings per cycle on average |
| Multi-Framework Overhead | Cross-mapped automatically — one control satisfies many | Each framework tracked separately with duplicated effort |
| Remediation Speed | Minutes — autonomous playbooks with rollback | Days to weeks — manual tickets, engineer queues |
The financial impact is significant. Organisations using a GRC platform like Hunto AI report saving $200K–$500K annually in reduced consulting fees, freed engineering time, and avoided audit remediation costs. For most mid-market companies, the platform pays for itself within the first audit cycle.
The Problem with Traditional GRC
Traditional governance, risk, and compliance programmes were designed for a world where audits happened once a year and infrastructure changed slowly. That world no longer exists. Cloud deployments spin up in minutes, development teams push code daily, and regulatory requirements multiply every quarter. Yet most organisations still manage compliance with a patchwork of spreadsheets, shared drives, and calendar reminders.
The consequences are predictable. Evidence becomes stale days after collection. Risk registers reflect last quarter's reality, not today's. Engineers, the people you hired to build and defend, spend 30% or more of their time gathering screenshots and filling out questionnaires. When the auditor finally arrives, the team scrambles for six weeks to reconstruct a compliance picture that should have been maintained continuously.
Even organisations that have adopted first-generation GRC platforms find themselves stuck. These tools digitised the spreadsheet but did not eliminate the process. Controls are still checked manually, evidence is still collected on a schedule, and remediation still requires a human to file a ticket. The result is an expensive layer of tooling that creates a false sense of compliance readiness while the underlying gaps persist.
A modern GRC platform must do more than organise tasks. It must act autonomously: monitoring controls in real time, collecting evidence continuously, remediating drift the moment it occurs, and providing a live compliance posture that auditors, boards, and regulators can trust. That is the promise of autonomous GRC, and it is why forward-thinking security teams are rethinking their entire approach to AI in cybersecurity and compliance.
What Makes an Autonomous GRC Platform Different?
The term "GRC platform" has been stretched to cover everything from shared document repositories to lightweight checklist tools. An autonomous GRC platform is fundamentally different because it operates on a closed-loop cycle: Sense → Decide → Act → Verify. Every other approach breaks this loop somewhere, requiring a human to bridge the gap.
Continuous Control Monitoring
Legacy tools validate controls on a schedule: weekly, monthly, or, in the worst cases, only during audit prep. An autonomous GRC platform monitors controls in real time, detecting drift within minutes of it occurring. When an IAM policy changes, a firewall rule is modified, or a logging pipeline goes silent, the platform knows immediately and begins evaluation.
Automated Evidence Collection
Evidence is the currency of compliance, and most teams spend enormous effort collecting it manually. An autonomous platform captures screenshots, configuration snapshots, access review logs, and policy documents automatically, timestamps them with tamper-proof metadata, and maps each artifact to the relevant controls across every framework. This eliminates the "evidence scramble" that consumes weeks of effort before every audit.
Cross-Framework Mapping
Organisations operating under multiple frameworks (SOC 2, ISO 27001, HIPAA, PCI DSS) often duplicate effort because traditional tools treat each framework as a silo. An AI GRC platform maps controls across frameworks automatically, so implementing encryption at rest satisfies overlapping requirements in SOC 2 CC6.1, ISO 27001 A.10.1, HIPAA 164.312(a)(2)(iv), and PCI DSS 3.4 simultaneously without separate evidence packages.
Autonomous Remediation
Detection without action is just noise. When the platform identifies a control failure, whether a misconfigured cloud resource, an overprivileged service account, or a missing MFA policy, it can remediate automatically using pre-approved playbooks. Every action is logged with full rollback capability, giving your team confidence that fixes are safe and auditable.
Risk Register Auto-Updates
A risk register that only updates quarterly is a historical document, not a decision-making tool. In an autonomous cyber risk management platform, the risk register reflects live infrastructure data, current threat intelligence from modules like attack surface management, and real-time control status. Risk scores adjust dynamically as the environment changes, giving CISOs and boards an accurate picture at any given moment.
Hunto AI vs Traditional GRC Platforms
Organisations evaluating Vanta alternatives or comparing Vanta competitors typically do so because they have outgrown first-generation compliance automation tooling. Below is how Hunto AI compares to established platforms across the dimensions that matter most.
| Feature | Hunto AI | Vanta | Drata | Sprinto |
|---|---|---|---|---|
| Autonomy level | Fully autonomous (Sense → Decide → Act → Verify) | Monitor + alert | Monitor + alert | Monitor + alert |
| Control monitoring | Continuous (real-time) | Hourly / daily | Hourly / daily | Daily |
| Evidence collection | Automated + tamper-proof timestamps | Automated screenshots | Automated screenshots | Automated screenshots |
| Framework coverage | 12+ (incl. DPDP, DORA, NIS2, SEC) | SOC 2, ISO, HIPAA, GDPR, PCI | SOC 2, ISO, HIPAA, GDPR, PCI | SOC 2, ISO, HIPAA, GDPR |
| Remediation | Autonomous with rollback | Manual (ticket created) | Manual (ticket created) | Manual |
| Cross-framework mapping | AI-driven, automatic | Basic | Basic | Limited |
| Cyber risk integration | Native (ASM, DRP, threat intel) | None | None | None |
| Deployment | Cloud, on-prem, hybrid | Cloud only | Cloud only | Cloud only |
For organisations looking for a Drata alternative or Sprinto alternative that moves beyond monitoring-and-alerting into true autonomous compliance, Hunto AI closes the loop with remediation, risk management, and threat intelligence built into a single continuous compliance platform.
Compliance Frameworks Supported
Hunto AI's compliance automation software natively supports 12+ frameworks with cross-mapped controls, automated evidence collection, and continuous monitoring for each.
SOC 2 Type II
SOC 2 Type II requires demonstrating control effectiveness over a sustained observation period, typically 6-12 months. Hunto AI's SOC 2 automation engine continuously monitors Trust Services Criteria (security, availability, processing integrity, confidentiality, privacy), collects timestamped evidence automatically, and generates auditor-ready packages that satisfy Type II observation requirements without manual effort.
ISO 27001
ISO 27001 mandates an Information Security Management System (ISMS) covering 93 Annex A controls across organisational, people, physical, and technological domains. Hunto AI functions as an ISO 27001 compliance tool that maps your existing controls to Annex A requirements, monitors their effectiveness continuously, and provides Statement of Applicability documentation with live evidence links.
HIPAA
HIPAA's Security Rule requires administrative, physical, and technical safeguards for protected health information (PHI). The platform monitors access controls, encryption status, audit logging, and workforce training requirements, generating the documentation needed to demonstrate compliance during HHS audits or business associate due diligence reviews.
PCI DSS
PCI DSS v4.0 introduces continuous compliance requirements and customised approach objectives. Hunto AI monitors all 12 requirement families in real time, from network security controls (Req 1) through regular testing (Req 11) and policy maintenance (Req 12), providing the continuous validation that QSAs now expect.
GDPR
GDPR's accountability principle requires demonstrable evidence of data protection measures. The platform monitors data processing activities, consent management, data subject request fulfilment, and cross-border data transfer safeguards, maintaining an always-current compliance record for DPA inquiries.
NIST CSF & NIST 800-53
NIST CSF 2.0 organises cybersecurity around Govern, Identify, Protect, Detect, Respond, and Recover functions. NIST 800-53 Rev 5 specifies over 1,000 individual controls. Hunto AI maps your environment against both frameworks simultaneously, leveraging control overlap to minimise duplication.
CIS Controls
The CIS Critical Security Controls (v8) provide an actionable, prioritised set of safeguards. Hunto AI validates implementation group alignment (IG1, IG2, IG3) and monitors control effectiveness across all 18 control families, from inventory management through penetration testing.
DPDP Act, SEC Cyber Rules, DORA & NIS2
Emerging regulations demand faster incident reporting, board-level accountability, and verifiable digital operational resilience. Hunto AI supports India's DPDP Act, the SEC Cybersecurity Disclosure Rules, the EU's DORA regulation for financial entities, and NIS2 directive requirements, ensuring organisations operating across jurisdictions maintain compliance from a single GRC platform. These frameworks often impact the same controls monitored for DMARC compliance and email security.
RBI Cybersecurity Guidelines
The Reserve Bank of India’s cybersecurity framework mandates that regulated entities implement comprehensive security controls, conduct regular vulnerability assessments, monitor for incidents continuously, and report breaches within specified timelines. RBI’s outsourcing guidelines add further requirements for vendor oversight and third-party risk management. Hunto AI’s GRC platform monitors RBI-specific controls alongside international frameworks, maps overlapping requirements to avoid duplication, and generates the audit evidence that RBI examiners require — including continuous monitoring logs, incident response documentation, and board-level cybersecurity reporting. For organisations also subject to SEBI or IRDAI guidelines, the cross-framework mapping engine ensures that shared controls satisfy all applicable regulators simultaneously.
Autonomous GRC for Regulated Industries
Different industries face different regulatory pressures, but the need for continuous compliance is universal. Here is how Hunto AI's automated GRC capabilities address sector-specific challenges.
Banking & Financial Services
Banks and NBFCs operate under overlapping mandates from RBI, SEBI, and SEC. Hunto AI monitors controls across all applicable frameworks simultaneously, providing the continuous assurance that regulators increasingly demand. Integrated phishing simulation and awareness training address the human-risk component that financial regulators specifically call out.
Healthcare
Healthcare organisations must protect PHI while maintaining availability for patient care. The platform monitors HIPAA Security Rule safeguards, tracks BAA compliance across vendors, and provides audit-ready evidence for HHS OCR investigations, all without pulling clinical staff into compliance workflows.
E-commerce & Retail
PCI DSS v4.0's continuous compliance expectations align naturally with Hunto AI's autonomous monitoring model. The platform validates payment environment segmentation, encryption, access controls, and logging requirements in real time, reducing the burden of quarterly ASV scans and annual QSA assessments.
Government & Critical Infrastructure
Government entities and critical infrastructure operators face NIST 800-53, CMMC, and emerging NIS2 requirements. Hunto AI's on-premise deployment option ensures sensitive data never leaves the agency's perimeter while still delivering the full autonomous GRC experience. See customer case studies for real-world deployment examples across regulated industries.
GRC Platform for Mid-Market Companies
Enterprise-grade compliance automation without the enterprise price tag.
Mid-market companies — typically 100 to 2,000 employees — face a compliance paradox. They’re large enough to attract enterprise customers who demand SOC 2 reports and ISO 27001 certificates, but lean enough that dedicating 3–5 people to compliance operations isn’t financially viable. They need a GRC platform that delivers real compliance outcomes without requiring a dedicated GRC team to operate it.
Hunto AI is built for this exact position. The platform deploys in under 48 hours, connects to your existing stack through 600+ integrations, and begins monitoring controls and collecting evidence immediately. There’s no six-month implementation project, no professional services engagement, and no need to hire a compliance manager before you can start. One person can oversee the entire programme because the AI handles the operational work: scanning infrastructure, capturing evidence, detecting drift, and remediating issues.
For cost-conscious buyers, the economics are straightforward. A mid-market company that hires a compliance consultant at $200–$400/hour and runs two audits per year typically spends $150K–$300K annually on compliance operations. Hunto AI’s GRC platform replaces the majority of that spend while delivering better outcomes: continuous monitoring instead of quarterly snapshots, automated evidence instead of manual screenshots, and real-time risk scoring instead of static spreadsheets. Most mid-market customers achieve full return on investment within their first audit cycle.
The platform also scales without adding headcount. As you expand from SOC 2 to ISO 27001 to HIPAA, the cross-framework mapping engine ensures you’re not duplicating effort. A single control implementation satisfies overlapping requirements across every framework, and the effort to add a new framework is measured in days, not months.
Integration Ecosystem — 600+ Connections Out of the Box
A GRC platform is only as good as the data it can access. Hunto AI connects to your entire stack.
Cloud Infrastructure
AWS, Azure, GCP, DigitalOcean
Identity & Access
Okta, Azure AD, Google Workspace, OneLogin
Endpoint Security
CrowdStrike, SentinelOne, Carbon Black
Ticketing & Workflow
Jira, ServiceNow, Linear, Asana
Code & DevOps
GitHub, GitLab, Bitbucket, Jenkins
Communication
Slack, Microsoft Teams, PagerDuty
HR & People
BambooHR, Rippling, Gusto, Workday
MDM & Devices
Jamf, Kandji, Intune, Mosyle
Monitoring & SIEM
Datadog, Splunk, Sumo Logic, Elastic
Integrations are pre-built and require no custom development. Most connections are established with OAuth or API key authentication and begin pulling control data within minutes. For tools not in our standard library, a REST API and webhook framework allow custom integrations with any system that exposes an API.
Frequently Asked Questions
Everything you need to know about our Autonomous GRC Platform
An autonomous GRC platform uses AI agents to continuously monitor security controls, collect compliance evidence, and remediate gaps without manual intervention. Unlike traditional GRC tools that digitise spreadsheets, an autonomous platform operates on a Sense → Decide → Act → Verify loop — scanning your infrastructure in real time, mapping findings against compliance frameworks, executing fixes, and logging tamper-proof evidence. The result is continuous compliance rather than point-in-time audit snapshots.
Hunto AI goes beyond what Vanta and Drata offer in several key areas. While Vanta and Drata focus on evidence collection and monitoring, Hunto AI adds autonomous remediation — the platform doesn’t just detect a misconfigured S3 bucket, it fixes it and logs the action. Hunto AI also supports 12+ frameworks natively (including DPDP Act, DORA, and NIS2 which many competitors lack), offers cross-framework control mapping so one evidence artifact satisfies multiple standards, and integrates cyber risk management with compliance through native attack surface management and threat intelligence modules.
Hunto AI supports SOC 2 Type II, ISO 27001, HIPAA, PCI DSS, GDPR, NIST CSF, NIST 800-53, CIS Controls, DPDP Act, SEC Cyber Disclosure Rules, DORA, and NIS2. The platform’s cross-framework mapping engine ensures that a single control implementation and its evidence automatically satisfy overlapping requirements across all applicable frameworks, dramatically reducing duplication of effort.
Most organisations achieve audit readiness within 4–6 weeks of deployment, compared to the industry average of 3–6 months. On day one the platform connects to your stack via 600+ integrations and begins continuous control monitoring. By week two, automated evidence collection fills the majority of your evidence repository. By week four, your compliance readiness score typically exceeds 90%, and the platform generates a complete, auditor-ready evidence package with tamper-proof timestamps.
Yes. Hunto AI is designed to layer on top of existing tools rather than requiring rip-and-replace. Many teams use it alongside legacy GRC platforms, SIEM tools, and ticketing systems. Pre-built integrations with Jira, ServiceNow, Okta, AWS, Azure, GCP, CrowdStrike, and 600+ other tools mean the platform augments your existing workflow with autonomous monitoring and evidence collection.
Traditional audit prep takes 6+ weeks because teams must manually gather screenshots, export configurations, chase engineers for access reviews, and compile everything into auditor-consumable packages. Hunto AI eliminates this entirely by collecting evidence continuously and automatically. When audit season arrives, the evidence is already there — timestamped, verified, and mapped to the correct controls. Customers report reducing audit prep from six weeks to under 48 hours, freeing up 3–5 FTEs of effort per audit cycle.
A GRC platform is software that centralises governance, risk management, and compliance activities into a single system. It replaces the spreadsheets, shared drives, and disconnected tools that most organisations use to track security controls, collect audit evidence, manage risk registers, and monitor compliance across regulatory frameworks. A modern GRC platform like Hunto AI goes further by automating these processes with AI agents that continuously monitor controls, collect evidence, remediate drift, and map findings across frameworks like SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, and RBI.
Traditional GRC tools digitise manual processes — they replace spreadsheets with forms and calendar reminders with automated notifications, but still require humans to validate controls, collect evidence, and fix issues. An autonomous GRC platform operates on a closed-loop cycle: it senses control status from your live infrastructure, decides whether findings require action based on your compliance frameworks and risk appetite, acts by remediating issues automatically using pre-approved playbooks, and verifies that the fix worked with tamper-proof evidence. The result is continuous compliance rather than point-in-time audit snapshots.
For the operational work of compliance — evidence collection, control monitoring, gap analysis, risk register updates, and audit preparation — yes. A GRC platform like Hunto AI automates the tasks that consultants typically charge hourly rates to perform manually. However, consultants still add value for strategic advisory: interpreting ambiguous regulatory guidance, advising on control design for new frameworks, and providing independent assessment. Most organisations that deploy Hunto AI reduce their consulting spend by 60–80% while retaining a consultant for strategic reviews.
Hunto AI's GRC platform natively supports SOC 2 Type II, ISO 27001, HIPAA, PCI DSS, GDPR, NIST CSF, NIST 800-53, CIS Controls, DPDP Act (India), RBI Cybersecurity Guidelines, SEC Cyber Disclosure Rules, DORA, and NIS2. The cross-framework mapping engine ensures that a single control implementation and its evidence automatically satisfy overlapping requirements across all applicable frameworks, eliminating the duplication of effort that plagues multi-framework compliance programmes.
Your Next Audit Is Closer Than You Think
Get a free 48-hour Compliance Readiness Assessment. We'll connect to your environment and show you exactly where your gaps are — with evidence and a remediation plan.
No credit card. No sales pitch. Just a clear picture of your compliance posture delivered by autonomous AI agents.