Obligations you accepted but never tracked
Security requirements, SLAs, AI terms, and data commitments live in legal's files. Compliance never sees them, so no control is ever mapped to them.
Castle maps AI systems, vendors, contracts, regulations, controls, owners, evidence, and remediation into one auditable obligation graph.
Most tools help you write policies and list AI systems. They don't tell you what you're actually on the hook for. The commitments that matter live in contracts, DPAs, SLAs, vendor addenda, and regulations. They're scattered across teams and never reconciled into one place anyone can prove.
Security requirements, SLAs, AI terms, and data commitments live in legal's files. Compliance never sees them, so no control is ever mapped to them.
Risk registers list problems. They don't assign the work. Without an owner, a due date, and a tested fix, an obligation is documented, not met.
Leadership, auditors, and customers won't accept "an AI said so." They need to see where each obligation came from, who owns it, and that it can't be quietly altered.
Castle ties every AI system, vendor, contract, and regulation to the controls, owners, evidence, and remediation that satisfy it. Change one node and everything it touches updates, so what you owe, and the proof you meet it, stays current instead of going stale in a spreadsheet.
Most tools ingest frameworks. Almost nobody ingests contracts, what the business actually committed to. Castle puts both in the same graph, so the questions below have one answer instead of six.
Every assessment produces the same concrete artifacts, mapped to each other and provenance-stamped, so you can move from "what do we owe?" to "here's the proof" in one pass.
A current register of the AI systems and vendors you use, classified by data access, decision impact, and risk.
Every obligation from your contracts, DPAs, SLAs, and regulations, connected to the controls that satisfy it.
DPA §7.2 → Encryption at rest → AES-256 controlThe specific controls each obligation demands, mapped across SOC 2, ISO 27001, ISO 42001, NIST AI RMF, and HIPAA, with EU AI Act and GDPR tracked as obligations.
Open gaps turned into assigned work, each with an owner, a due date, and a test that confirms it's actually closed.
Gap · owner · due date · retest → closedEvery obligation, finding, and control carries a SHA-256 chain-of-custody your auditor can re-verify independently.
evidence · SHA-256 a3f4…c001 · verified ✓One export that shows leadership, auditors, and customers what you owe, who owns it, and what's proven met.
by obligation · owner · status · proven metThe artifacts from a single assessment: obligation map, remediation plan, evidence trail, and board-ready report.
Illustrative sample output, not customer dataCustomer data used in AI workflows must be encrypted, access-controlled, logged, and periodically reviewed.
Sources| Task | Owner | Due date | Status |
|---|---|---|---|
| Assign control owner | Compliance | This week | Ready for review |
| Collect vendor retention evidence | Vendor Risk | 30 days | Evidence needed |
| Confirm encryption coverage | Security | Q2 review | In progress |
| Schedule quarterly access review | Compliance | Next review cycle | Open |
| Generate audit-ready summary | Legal | Q2 review | Open |
| Evidence | Source | Control | Status |
|---|---|---|---|
| Encryption configuration | DPA §7.2 | Encryption | Verified |
| Access review export | IAM | Access review | Verified |
| Vendor retention terms | MSA §4 | Retention | Needed |
| Logging export | SIEM | Logging | In progress |
| Policy acknowledgement | AI Policy | Governance | Verified |
Framework ingestion is commodity. Castle reads the security, SLA, AI, and data commitments out of your contracts, DPAs, and vendor addenda, the ones compliance teams never see, and maps them into the same graph as your regulations and standards.
A finding without an owner is a problem nobody fixed. Castle turns each gap into assigned remediation with a due date and a retest, then ties the closed work back to the obligation it satisfies.
Every obligation, finding, and control carries a SHA-256 chain-of-custody and a hash-chained event log. You can show exactly where something came from, when, and that it hasn't been altered.
Every obligation ties back to its source, control, owner, and evidence. You can answer "are we meeting what we signed?" with proof, not assertions, and show an auditor the same day.
AI governance leads, CISOs, compliance and legal/privacy teams, GRC consultants, and regulated mid-market companies use Castle to answer the same hard questions, with proof.
Inventory AI use cases, map them to NIST AI RMF and ISO 42001 controls (and track EU AI Act obligations), and close the gaps before a deal or regulator asks.
Classify every vendor and model by data access and decision impact, and tie each one to the contracts and controls it touches.
Surface the security, SLA, AI, and data commitments buried in MSAs, DPAs, and addenda, and route each to a control and an owner.
Keep required controls, their owners, and the evidence that proves them connected in one place that stays current.
Produce a single view of what you owe, who owns it, and what's proven met, ready on demand for leadership or an examiner.
GRC and advisory firms run faster, more defensible client assessments and hand over a verifiable evidence packet.
Feed Castle your contracts, vendors, and AI use cases. It extracts the obligations, maps them to controls, assigns owners, tracks remediation, and returns a board- and audit-ready output, every step provenance-stamped.
Upload or connect contracts, vendor documents, AI use cases, policies, and existing controls.
Pull obligations from every source and map them to the required controls in one graph.
Route each gap to an owner with a due date; track remediation to a tested close.
Export the finished view; AI drafts, the operator approves anything binding.
A preview of one assessment run. Castle does this for you.
The things a security reviewer asks about first: where evidence comes from, how data is protected, who can see it, where it runs, and whether you can reproduce and independently verify it.
SHA-256 chain-of-custody and a hash-chained event log on every artifact. You or your auditor can independently confirm nothing changed after collection.
Export a signed evidence packet and check it with a standalone verifier you run yourself. It confirms the cryptographic seal with zero access to our systems.
Re-run an assessment and get a byte-identical result with a matching hash. Risk tiers and obligation status come from deterministic rules, never from an AI model.
AES-256-GCM with Argon2id key derivation for sensitive data, TLS in transit, and credentials stripped before any model call.
Authentication, role-based access, and per-tenant isolation, so each customer's data stays walled off from everyone else's.
Pluggable AWS Bedrock or on-prem OpenAI-compatible endpoints, or run fully air-gapped with no external LLM calls at all. In air-gapped mode the engine fails closed if anything would try to reach out.
We're working with a small number of design partners, advisors, and channel partners. If you own AI governance, vendor risk, or compliance at a regulated company, or advise clients who do, let's talk.