Secure the data.
Then prove it, every day.
AI agents move at machine speed across data paths outside perimeter, identity, and posture telemetry. SmartVerify records covered PostgreSQL interactions on the data path.
Every new AI obligation eventually asks for evidence from the data layer. See the Platform coverage grid for current availability.
The 2026 regulatory wave
Every new AI law eventually asks the same question: what did your AI do with the data?
Texas TRAIGA
Effective January 2026SmartVerify execution evidence maps onto relevant monitoring and logging sub-categories of the NIST AI Risk Management Framework. Applicability to a specific compliance program depends on the organization and its counsel.
Colorado AI Act
Effective June 2026Impact-based liability for high-risk AI systems. Continuous monitoring of AI data access patterns is relevant to detecting discriminatory outcomes. SmartVerify evidence maps onto this monitoring consideration.
California DROP
Effective 2026The regulation addresses deletion requirements across applicable systems. SmartVerify does not propagate deletion requests. Its signed data-path record can support investigation of where covered data was accessed.
EU AI Act
Phasing in through 2026-2027SmartVerify execution evidence maps onto logging and audit trail considerations for observed data-path activity. It does not record every decision input and output.
For the CISO. Where SmartVerify fits in the AI compliance stack
AI compliance takes multiple layers. SmartVerify connects the tool call to data execution.
Identity, governance, tool-call security and data controls serve different purposes. SmartVerify observes at two points: where the agent calls the tool server, and where the tool server accesses the data. It joins those observations into signed evidence of the action.
The AI compliance stack
Two interception points. One joined action record. The MCP layer captures what was asked for; the data-execution layer captures what ran and what came back.
Execution governance. Signed evidence of what AI agents did with enterprise data.
Vendors are representative examples, not equivalent feature sets. Products may span multiple layers; inclusion does not imply endorsement.
SmartVerify phases
Four phases of evidence and control.
See the Platform coverage grid for current availability.
RecordAvailable now
Join the person, agent, tool call, query as executed, and returned data in one signed entry per action, stored in the customer's account. Retention is configurable, and longer periods with an immutable export are available for estates with a mandated retention period.
RefuseAvailable now
Refuse a query or tool call that breaks customer policy before it reaches the data or tool server. The agent receives an error its framework already handles.
ReshapeAvailable now
Apply policy to returned data so the agent receives only the rows and fields the request permits. Available on PostgreSQL and MySQL; S3 and DynamoDB reshaping are on the roadmap.
LimitAvailable now
Cap records per query and tool calls per agent and per person. Customers define the policy limits and counting windows. Behavior-based cumulative limits are on the roadmap.
Record and Refuse are available on PostgreSQL (including Amazon RDS and Aurora), MySQL, Amazon S3, Amazon DynamoDB, MCP and JSON-RPC. Reshape is available on PostgreSQL and MySQL. Reason across sessions, behavior-based cumulative limits, and Reshape for S3 and DynamoDB are on the roadmap.