All Posts from @ComplianceOSLab

Excited to share the latest progress on AI Trust OS and Compliance OS. Alongside the new infographic snapshot, I’m also pleased to share my published arXiv papers, including AI Trust OS, which captures the core vision behind the platform: zero-trust telemetry, continuous AI

Excited to see early momentum building for AI Trust OS and Compliance OS. Our X presence has now reached 92,000 impressions, and both platforms are starting to attract live traffic from key markets including the United States and Australia. Current website analytics show

Compliance OS fixes this. → We probe your cloud stack live — not on audit day, every day → 90-day evidence expiration flags stale assertions automatically → Dual-model AI (GPT-4o-mini + Gemini 2.5 Flash) rewrites your executive summary on demand No consultants. No snapshots.

Real post-audit drift examples: → An engineer adds a wide-open 0.0.0.0/0 security group → A stale IAM key (>90 days) isn't rotated → A new S3 bucket launches without KMS encryption None of that is in your SOC2 report. Invisible risk.

Traditional audits are point-in-time snapshots. Auditors take static screenshots, documenting controls on day X. Your report reflects *that single day's* posture only. Everything that happens after? Ungoverned risk.

Your SOC2 report is fundamentally broken before it even lands. The moment it's published, configuration drift ensures it's outdated. That's the dirty secret of modern compliance. 🧵

Compliance OS fixes this. → We probe your cloud stack live — not on audit day, every day → 90-day evidence expiration flags stale assertions automatically → Dual-model AI (GPT-4o-mini + Gemini 2.5 Flash) rewrites your executive summary on demand No consultants. No snapshots.

Real post-audit drift examples: → An engineer adds a wide-open 0.0.0.0/0 security group → A stale IAM key (>90 days) isn't rotated → A new S3 bucket launches without KMS encryption None of that is in your SOC2 report. Invisible risk.

Traditional audits are point-in-time snapshots. Auditors take static screenshots, documenting controls on day X. Your report reflects *that single day's* posture only. Everything that happens after? Ungoverned risk.

Your SOC2 report is fundamentally broken before it even lands. The moment it's published, configuration drift ensures it's outdated. That's the dirty secret of modern compliance. 🧵

Compliance OS fixes this. We probe your cloud stack live. Our 90-day evidence expiration flags stale assertions. Dual-model AI (GPT-4o-mini + Gemini 2.5 Flash) synthesizes updated executive summaries on demand.

Real post-audit drift examples: an engineer adds a wide-open 0.0.0.0/0 security group. A stale IAM key (>90 days) isn't rotated. A new S3 bucket lacks KMS encryption. None of that is in your SOC2 report. Invisible risk.

Traditional audits are point-in-time snapshots. Auditors take static screenshots, documenting controls on day X. Your report reflects *that single day's* posture only. Everything that happens after? Ungoverned risk.

Your SOC2 report is fundamentally broken before it even lands. The moment it's published, configuration drift ensures it's outdated. That's the dirty secret of modern compliance.

Built Trust-First from day one: • Read-only STS-scoped probes — never touch your data • AES-256-GCM on every credential before it hits the DB • ENCRYPTION_KEY fail-fast on startup • 90-day evidence expiration — stale evidence flagged • Zero-trust tenant isolation on every

AI companies have a new compliance problem. EU AI Act needs data residency proof → we run a live S3 bucket scan, not a checkbox. ISO 42001 needs model governance → we auto-discover models via AWS Bedrock. NIST AI RMF needs trace evidence → we pull it live from LangSmith.

11 live integrations. Each runs a real API probe: → AWS: IAM MFA audit + S3 encryption + EC2 VPC scan → LangSmith: PII detection + eval loop validation → Pinecone: namespace isolation per tenant → GitHub, Vercel, Okta, Stripe, Azure, GCP, OpenAI, Anthropic AES-256-GCM on

Introducing Compliance OS + AI Trust OS. Two platforms. One architecture: → Compliance OS — SOC2, ISO 27001, HIPAA, DORA → AI Trust OS — ISO 42001, EU AI Act, NIST AI RMF Both powered by zero-trust read-only cloud telemetry. No spreadsheets. No screenshots. Just live

Compliance is still being done in spreadsheets. 100+ hours chasing screenshots. $30K+ to a consultant who delivers a PDF. Evidence that goes stale 24 hours after the audit. We built something different. 🧵

The platform natively hooks into your AWS ARNs and GitHub repos. Our Prisma & BullMQ worker fleet runs deterministic background scans to pull live AST telemetry, granting instant SOC2 evidence and Vector DB data leakage monitoring. 🛡️🧠 2/2 🧵

We didn't build just another dashboard. We built an engine that natively hooks into your AWS and GitHub environments, continuously mapping real-time infrastructure scans directly against ISO 42001, DORA, and the EU AI Act.

We just built a mathematical fortress. Today, we are officially launching the v1.0.0 Dual-Architecture: 🌐 Compliance OS — The Automated Security & Compliance Ledger 🌐 AI Trust OS — The Algorithmic Governance & Privacy Engine We think the physical telemetry locks are

No more guessing if your employee laptops are encrypted or if PRs are being reviewed. Compliance OS continuously monitors your physical IT boundary. If a control drifts out of compliance, the Action Center alerts your engineers immediately before an auditor ever sees it. 📈

We built Compliance OS to automate the painful parts of security audits. Instead of taking screenshots, our Active Probes API hooks directly into AWS, GitHub, and your HR systems to mathematically prove your infrastructure is secure in real-time. 🔒

You can finally stop relying on static spreadsheets to track your AI risk. Our native Registry structurally binds internal builds to Claude and OpenAI bounds—enforcing explicit Human-in-the-Loop trace ledgers for every software hallucination incident.

Traditional compliance tools were built for laptops and AWS servers—not dynamic Foundation Models. AI Trust OS flips the script. We map your entire inference fleet, automatically identifying PII drift, Prompt Injection vulnerabilities, and EU AI Act gaps in real-time. 📈

4/ We believe in honest engineering. Our Launch Scope is explicit: GA: AWS, GitHub. Beta: Vercel, Okta. Waitlist: Stripe. We expose what is ready, clearly label our Betas, and enforce mathematical Zero-Trust tenant isolation natively.

3/ This isn't just a UI update. Our v1.1 engine evaluates your infrastructure once and natively maps that single truth across 5 global frameworks simultaneously: SOC 2, HIPAA, GDPR, PCI-DSS, NIST 800-53

2/ Built on our Trust-First architecture, Compliance OS fundamentally abandons static spreadsheets. We are replacing stale audits with Live Control Evaluation and automated mapping through our proprietary Unified Control Graph.

soon in Phase 2: Native Azure and GCP monitoring, plus a specialized Stripe waitlist for financial service automation. GRC should be automated, period.

5/ Now in Beta: Vercel and Okta integrations. Secure your modern stack and streamline identity compliance with zero friction. It is compliance that moves at the speed of your deployments.

4/ We're live with GA support for AWS and GitHub. Connect your infrastructure in minutes and evidence collection begins automatically. No more chasing developers for screenshots.

3/ Native isolation is at our core. Compliance OS is the only GRC platform featuring zero-trust tenant isolation natively built-in for every scan. Security isn't just a checkbox; it's our architecture.

2/ Introducing the Unified Control Graph. Map your controls once and instantly align with SOC 2, HIPAA, GDPR, PCI-DSS, and NIST 800-53. No more spreadsheet sprawl.