The AI on Your Network Isn't the AI You Approved
You're paying for both. Enterprise AI adoption has outrun the finance teams paying for it and the governance teams accountable for it. Kanawai AI closes both gaps from a single connection.
You Cannot Govern What You Cannot See
Shadow AI is not a discipline problem. It is an inventory problem. Token spend accumulates across Anthropic, OpenAI, Google, AWS, and Microsoft faster than finance can attribute it, and employees adopt new AI faster than security can vet it.
No Visibility
Proprietary source code, customer PII, and regulated data flowing into unvetted AI platforms. Incidents surface weeks later.
Unattributed Spend
AI is metered by the token across half a dozen providers with no attribution to the user, team, or workload driving the cost.
Regulatory Exposure
A patchwork of state laws, sector regulators, and federal obligations. No two define AI the same way, and they don't share deadlines.
Cost and governance are both downstream of inventory. A living, attributed record of every AI tool, the data it touches, its users, and its usage, is the precondition for attributing spend and for evidencing compliance. Kanawai builds that record continuously.
How Kanawai AI Governs Your AI Estate
Kanawai operates at the application layer. Customers authorise the platform through scoped, least-privilege flows using OAuth 2.0, SAML 2.0, or OIDC. No endpoint agents. No changes to your cloud environment.
Continuous Discovery & Attribution
Kanawai continuously inventories every AI platform, tool, and agent in the connected environment, separates enterprise-approved platforms from shadow AI, and attributes usage to departments and affected users.
- Every AI tool discovered in real time
- Shadow AI separated from sanctioned tools
- Usage attributed to users and departments
- Data classification: PII, source code, regulated
Risk Classification & Compliance Assessment
Each AI system is assessed against the NIST AI RMF, NIST CSF 2.0, HIPAA, GDPR, and CCPA. Kanawai detects when sensitive material reaches an external AI endpoint, classified by category including confidential source code, restricted architecture documents, and regulated personal data.
- Risk classification per AI system
- Data exposure detection in real time
- Token attribution per user and workload
- Cost-to-utility model analysis
Automated Response & Human Oversight
Detection without action is a to-do list. Kanawai closes the loop, and is deliberate about where it closes automatically and where a person decides.
Automated: Unambiguous Violations
Restrict access, quarantine data, disable account, generate signed evidence artifact, and notify, all in under 60 seconds.
Escalated: Judgment Required
Routes to a named owner with evidence, data classification, applicable policy version, and a recommended action already attached.
Integrates with your existing stack
Mapped to the NIST AI Risk Management Framework
Texas grants explicit affirmative defenses for substantial compliance with the NIST AI RMF, the only US safe harbor. Kanawai maps to it natively, providing the operational visibility, controls, and evidence that make compliance defensible.
| Function | What It Requires | How Kanawai Supports It |
|---|---|---|
| GOVERN | Policies, accountability, oversight | Named owners per system, approval workflows for higher-impact actions, signed evidence for every action taken |
| MAP | Context, inventory, categorisation | Continuous inventory of every platform, tool and agent, attributed to department and user, classified by data touched |
| MEASURE | Assessment, monitoring, metrics | Per-system risk posture, data-exposure detection, token attribution, and utilisation measured continuously |
| MANAGE | Response, remediation, recovery | Automated containment for unambiguous violations, escalation with context where judgment is required |
Evidence Built for Audit, Legal, and Insurance
Each governance action produces a cryptographically signed, tamper-evident artifact with a hash, digital signature, trusted timestamp, file manifest classified by sensitivity, and a verified chain-of-custody log.
The US AI Regulatory Landscape
There is no single federal AI statute. There is a fast-moving set of state laws, general federal enforcement power, sector regulators, and separate obligations for anyone selling to government. A multi-state enterprise cannot plan against six regimes with different definitions. It needs one authoritative inventory that answers any of them.
Texas TRAIGA (HB 149)
Prohibits restricted-purpose AI; NIST AI RMF safe harbor
California SB 53 & AB 2013
Frontier model transparency, training-data disclosure
Illinois HB 3773
Prohibits AI employment discrimination
NYC Local Law 144
Bias audits for automated employment tools
Colorado SB 26-189
Pre-use notices, human review rights
FTC Act Section 5
General commerce; state compliance is not a defense
Compliance Frameworks We Monitor
Kanawai continuously monitors your AI deployments against every major regulatory and compliance framework so you hold one authoritative inventory that answers any of them.
NIST AI RMF
The only US framework with a statutory safe harbor (Texas HB 149). Kanawai maps to it natively.
EU AI Act
Risk classification, transparency obligations, and documentation requirements for AI systems used in or affecting the EU.
FedRAMP High
Federal security authorization for cloud services processing controlled unclassified information and high-impact data.
HIPAA
Protected health information safeguards for AI systems processing patient data and clinical decision support.
GDPR
EU data protection regulation governing how AI systems collect, process, and store personal data of EU residents.
CCPA / CPRA
California consumer privacy rights including automated decision-making provisions effective 2027.
Why Continuous Beats Periodic
None of these obligations is a one-time certification. Each assumes ongoing monitoring and record-keeping, a cadence that periodic manual audits and static spreadsheets cannot meet because they are stale the moment they are finished.
❌ Periodic Audits
- Stale the moment they're finished
- Manual spreadsheet-based tracking
- Weeks to detect shadow AI
- Reconstructed narratives for evidence
- No real-time cost attribution
✓ Kanawai AI: Continuous
- Continuously learning graph of people, teams, vendors, tools
- New tools assessed as they appear on the network
- Containment in under 60 seconds
- Evidence produced as a by-product, not reconstructed
- Every scan sharpens the inventory
Stop Guessing. Start Knowing.
Schedule a demo today and discover how Kanawai AI transforms your data into answers and automated action.