How Screenata Fits Into the Next Generation of Audit Automation

Screenata is an AI Compliance Officer for startups. Today it reads your codebase, writes your policies, collects evidence, maps controls, and gets you audit-ready. It's evolving toward fully autonomous compliance agents—semi-autonomous testing, and ultimately a self-auditing platform that continuously monitors compliance across SOC 2, ISO 27001, and HIPAA.

The Compliance Automation Gap

What Vanta and Drata Automate Well

Traditional GRC platforms excel at infrastructure-level monitoring:

What They Automate	How It Works	Coverage
Cloud configurations	API integration with AWS, GCP, Azure	✅ 95%
Employee access logs	SSO integration with Okta, Google Workspace	✅ 90%
Policy documentation	Template-based policy management	✅ 85%
Security training	Automated tracking and reminders	✅ 100%
Vendor management	Centralized vendor risk assessments	✅ 70%

Total automation for infrastructure controls: 80-90%

The 20% Manual Gap

What remains manual:

1. Application-level testing (30-40 hours per audit)

User interface controls verification
Role-based access control testing
Application workflow documentation
Screenshot capture of test results

2. Custom integrations (10-15 hours per audit)

Systems without APIs
Legacy applications
Vendor portals
On-premise systems

3. Process documentation (10-20 hours per audit)

Change management approvals
Incident response procedures
Access review workflows
Manual control testing

Total manual work: 50-75 hours per audit cycle

Cost impact: Significant labor costs for manual evidence collection and documentation

Screenata's Three-Phase Evolution

Phase 1: AI Compliance Officer — Available Now

Current capability: Full compliance preparation—policy writing, codebase analysis, control mapping, evidence collection, and readiness scoring

What it does:

✅ Connects to your GitHub org and cloud environment
✅ Scans your codebase, analyzes your tech stack, auth, CI/CD, and security controls
✅ AI agents write policies grounded in your real systems (not generic templates)
✅ Maps controls to Trust Services Criteria across frameworks
✅ Collects evidence from your systems (user lists, MFA configs, access logs, branch protection rules)
✅ Auto-captures application-level screenshots at key moments
✅ Readiness dashboard shows your audit score and what's left to do
✅ Exports audit-ready packages (policies, evidence, control mappings)

User workflow:

1. Tell Screenata about your company (5-minute conversational wizard)
2. Connect your repo and cloud
3. Review findings (frameworks, infrastructure, security posture)
4. AI agents ask questions and write your policies
5. Evidence collected automatically from your systems
6. Export and hand off to your auditor when readiness score hits 100%

Time savings: Months of prep work → 4-6 weeks to audit-ready

Target users:

Startups preparing for first SOC 2 audit (the primary use case)
Teams that don't have a compliance person and don't want to hire one
Companies that want to skip the $2-5K/month consultant

Differentiator: Replaces both the GRC platform and the compliance consultant. Learn more about whether you actually need a vCISO for SOC 2.

Phase 2: Semi-Autonomous Testing — Coming Soon

Next evolution: Event-driven and scheduled autonomous tests

What changes:

🚀 AI-initiated testing (no need to click "Start Recording")
🚀 Scheduled quarterly tests (automatic execution)
🚀 Event-driven triggers (test on deployment, user creation, etc.)
🚀 Smart pass/fail determination (AI reads results and decides)
🚀 Evidence quality validation (AI reviews before submission)
🚀 Remediation workflows (auto-create tickets for failures)

User workflow:

Setup (one-time):
1. Configure which controls to test
2. Set schedule (quarterly for access controls, per-deployment for change mgmt)
3. Define pass criteria

Ongoing (automatic):
- AI runs tests on schedule
- Generates evidence automatically
- Syncs to Vanta/Drata
- Alerts you only if tests fail

Time savings: 3 min → 0 min per control (100% automated)

Example: Quarterly Access Control Testing

# Screenata configuration
controls:
  - id: CC6.1
    name: Logical Access Control
    schedule: "0 0 1 */3 *"  # First of every quarter
    test_steps:
      - action: create_test_user
        role: viewer
      - action: login_as_test_user
      - action: navigate
        url: "/admin/dashboard"
      - action: verify_access_denied
        expected: "403 Forbidden"
      - action: check_audit_log
        event: "UnauthorizedAccess"
    pass_criteria: "Access denied AND audit log entry created"
    on_pass:
      - sync_to_vanta
    on_fail:
      - create_jira_ticket
      - notify_slack: "#security"

AI actions (autonomous):

On Jan 1, Apr 1, Jul 1, Oct 1: Trigger test
Execute test steps without human intervention
Read screen to verify "Access Denied" message
Check audit logs for failed access attempt
Determine: PASS or FAIL
If PASS: Sync evidence to Vanta, done
If FAIL: Create Jira ticket, notify Slack, wait for human review

Human involvement: Zero (unless test fails)

Target release: Coming soon

Phase 3: Self-Auditing Platform — Future Vision

Ultimate evolution: Continuous compliance with predictive monitoring

What becomes possible:

🔮 Continuous monitoring (not quarterly—real-time)
🔮 Predictive compliance (detect failures before they happen)
🔮 Multi-framework support (SOC 2 + ISO 27001 + HIPAA simultaneously)
🔮 Self-healing workflows (auto-remediate common issues)
🔮 Computer-use AI agents (test any web interface, no API needed)
🔮 Cross-system evidence correlation (combine data from multiple sources)

User workflow:

Setup (one-time):
1. Connect Screenata to your infrastructure (AWS, GitHub, Okta, etc.)
2. Select compliance frameworks (SOC 2, ISO 27001, HIPAA)
3. Enable continuous monitoring

Ongoing (fully autonomous):
- Real-time compliance dashboard (always up-to-date)
- Automatic evidence collection 24/7
- Predictive alerts ("CC6.1 likely to fail in 7 days due to MFA gap")
- Self-remediation for common issues
- Always audit-ready (no "audit prep" needed)

Example: Continuous Access Control Monitoring

Traditional approach (quarterly):
- Q1 test: PASS (Jan 15)
- [90 days of unknown compliance status]
- Q2 test: FAIL (Apr 15) — "john@company.com has admin access without MFA"
- Issue discovered 90 days too late

Screenata continuous monitoring:
- Jan 15: Access control check ✓ PASS
- Jan 20: New admin user created (john@company.com)
- Jan 20 + 5 min: Automated check detects missing MFA
- Jan 20 + 6 min: Alert sent: "CC6.1 compliance at risk"
- Jan 20 + 10 min: Auto-remediation: Email to john@company.com + Slack to IT
- Jan 21: john@company.com enables MFA
- Jan 21: Compliance status restored ✓ PASS
- Issue resolved in 24 hours (not 90 days)

Time savings: Eliminates 80+ hours of quarterly audit prep

Target release: Future roadmap

Screenata's Technology Stack

Current (Phase 1): AI-Powered Recording

Components:

1. Browser Extension

Chrome/Edge compatible
Lightweight (< 1 MB)
Zero performance impact
Capture screenshots at 1 FPS during recording

2. Vision-Language Model (VLM)

GPT-4 Vision for image analysis
Extracts text from screenshots (OCR)
Understands UI context
Generates human-readable descriptions

3. Control Mapping Engine

Maps actions to SOC 2 Trust Service Criteria
Identifies relevant controls (CC6.1, CC7.2, etc.)
Suggests evidence categorization

4. Evidence Generator

Auto-formats PDF evidence packs
Includes: cover page, screenshots, descriptions, metadata
Exports to Vanta/Drata via API

Architecture:

┌─────────────────┐
│ Browser Ext     │ (captures screenshots)
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│ Screenshot API  │ (uploads images)
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│ VLM Analysis    │ (GPT-4V describes images)
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│ Control Mapper  │ (maps to SOC 2 controls)
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│ Evidence Pack   │ (generates PDF + metadata)
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│ Vanta/Drata API │ (syncs evidence)
└─────────────────┘

Future (Phase 2-3): Autonomous Agent Architecture

Additional components:

1. Computer-Use AI Agent

Claude 3.5 Sonnet with computer-use capability
Can navigate web UIs autonomously
Clicks, types, reads screens like a human
Adapts to UI changes

2. Test Orchestrator

Schedules tests based on triggers
Manages test execution queue
Handles retries and failures
Coordinates multi-step workflows

3. Multi-Source Evidence Correlator

Combines screenshots + API data + audit logs
Cross-validates evidence across systems
Detects anomalies and inconsistencies
Provides high-confidence pass/fail

4. Predictive Compliance Engine

Monitors system changes in real-time
Forecasts potential control failures
Suggests proactive remediation
Risk scoring and prioritization

5. Self-Healing Remediation

Auto-fixes common configuration drifts
Creates tickets for issues requiring human action
Tracks remediation progress
Re-tests after fixes applied

Enhanced architecture:

┌─────────────────────────────────────────────────┐
│         Test Orchestrator & Scheduler           │
│  (triggers tests, manages workflows)            │
└────────────────┬────────────────────────────────┘
                 │
       ┌─────────┼─────────┐
       ▼         ▼         ▼
┌────────────┐ ┌────────────┐ ┌────────────┐
│ Computer-  │ │ API Client │ │ Vision     │
│ Use Agent  │ │ (REST/SDK) │ │ Model      │
└────────────┘ └────────────┘ └────────────┘
       │         │         │
       └─────────┼─────────┘
                 ▼
       ┌──────────────────────┐
       │ Evidence Correlator  │ (multi-source validation)
       └──────────┬───────────┘
                  │
                  ▼
       ┌──────────────────────┐
       │ Predictive Engine    │ (forecasts failures)
       └──────────┬───────────┘
                  │
        ┌─────────┴─────────┐
        ▼                   ▼
┌──────────────┐   ┌──────────────────┐
│ Remediation  │   │ Evidence Store   │
│ Workflow     │   │ (Vanta/Drata)    │
└──────────────┘   └──────────────────┘

Frequently Asked Questions

How is Screenata different from traditional GRC platforms?

Traditional GRC platforms (Drata, Vanta) give you a dashboard, connect to your cloud APIs, and track control status. But they don't write your policies, don't tell you what to put in them, and don't explain what your auditor actually needs. You still need someone with compliance expertise to do the work.

Screenata does that work. It reads your codebase and cloud, writes policies grounded in your real systems, collects evidence, maps controls, and tells you what to fix. You get the platform and the expertise. Learn more about why generic ChatGPT policies fail audits.

Can I use Screenata standalone?

Yes. For most startups, Screenata is the complete solution—it replaces both the GRC platform and the compliance consultant. If you already use Drata or Vanta, Screenata can work alongside them. But you don't need them.

What controls can Screenata automate?

High automation potential (90%+ today):

✅ CC6.1 - Logical Access Controls
✅ CC6.2 - Access Removal
✅ CC7.2 - Change Management
✅ CC8.1 - Vulnerability Management
✅ Custom application controls

Medium automation (60-80%, improving):

🟡 CC7.1 - System Operations
🟡 A1.2 - System Availability
🟡 C1.1 - Confidentiality Controls

Low automation (human judgment needed):

❌ Governance and oversight
❌ Risk assessment
❌ Third-party management

When will autonomous testing be available?

Sign up for early access: Reserve your spot →

Will Screenata replace my compliance engineer?

For most startups under 50 people, you don't need a dedicated compliance engineer in the first place. Screenata handles policy writing, evidence collection, control mapping, and readiness scoring—the work a compliance consultant or vCISO would do. You still need someone on your team (usually a founder or engineering lead) to review and approve what Screenata produces. But you don't need a full-time compliance hire.

If you already have a compliance engineer: They'll spend less time on routine prep work and more time on strategic security decisions.

Key Takeaways

✅ AI Compliance Officer for startups that replaces both the GRC platform and the compliance consultant—policy writing, codebase analysis, control mapping, evidence collection, and readiness scoring

✅ Three-phase evolution: AI Compliance Officer (now) → Semi-autonomous testing (coming soon) → Self-auditing platform (future)

✅ AI-native architecture built for modern compliance automation needs

✅ Audit-ready in 4-6 weeks: From zero to certified without a compliance team. See the cost breakdown.

✅ Future vision: Continuous compliance monitoring, predictive failure detection, self-healing workflows

✅ Works standalone or alongside existing tools: Complete solution for teams starting fresh, compatible with Drata/Vanta for teams already using them

Learn More About AI Agents for Compliance

For guidance on implementing AI agents for compliance automation, see our guide on automating SOC 2 evidence collection with AI agents, including how Screenata fits into the next generation of audit automation.

The Compliance Automation Gap

What Vanta and Drata Automate Well

The 20% Manual Gap

Screenata's Three-Phase Evolution

Phase 1: AI Compliance Officer — Available Now

Phase 2: Semi-Autonomous Testing — Coming Soon

Phase 3: Self-Auditing Platform — Future Vision

Screenata's Technology Stack

Current (Phase 1): AI-Powered Recording

Future (Phase 2-3): Autonomous Agent Architecture

Frequently Asked Questions

How is Screenata different from traditional GRC platforms?

Can I use Screenata standalone?

What controls can Screenata automate?

When will autonomous testing be available?

Will Screenata replace my compliance engineer?

Key Takeaways

Learn More About AI Agents for Compliance

Ready to Automate Your Compliance?