


An AI agent is only as safe as the data it can touch. When an agent can query your warehouses, databases, and datalakes, its reach into sensitive data has to be scoped, temporary, and tied to a real identity.
Keep Sensitive Data Out of Reach Until It's Needed
AI agents and agentic tools are being pointed at the most sensitive data an organization holds: customer records, financial data, data warehouses, and more. To be useful, an agent has to read that data. To be safe, it can't hold a standing key to all of it.
The data layer is where agent over-permissioning turns into real exposure:
- Static database credentials and warehouse keys embedded in agents and the tools they call
- Agents that inherit far broader data access than the task in front of them requires
- A query run "for a user" that quietly reaches data that user was never allowed to see
- No record of which agent read which data, on whose behalf, or when
- Sensitive datasets spread across warehouses, databases, datalakes, and SaaS, each governed differently



BritiveSolution
Secure Sensitive Data
Britive already governs just-in-time, secret-less access to data platforms like Snowflake for human and non-human identities. Extended to AI agents through Britive’s APIs, MCP server, or MCP Gateway, the same model means an agent reaches sensitive data only when policy allows, only for as long as the task runs, and always as a known identity.

[ 001 ]
Zero Standing Privileges for Data
No identity — human, NHI, or AI — holds persistent access to sensitive data by default because Britive provisions access at runtime and removes it automatically so there are no standing privileges. Agents are granted data access only at the moment a task requires it, and that access is revoked when the task ends. There is no always-on key to a warehouse for an attacker to find or an agent to misuse.

[ 002 ]
Just-in-Time, Task-Scoped Data Access
Britive provisions ephemeral credentials scoped to the specific data source and task — a particular warehouse, database, or resource — rather than blanket access to the data estate. The credential exists for the work and disappears after it. No persistent access, no privileges beyond what is needed.

[ 003 ]
Context-Aware Policies for Sensitive Data
Access decisions weigh context at runtime — identity type, task intent, and the sensitivity of the data being requested. Routine, low-sensitivity reads proceed at machine speed; access to your most sensitive datasets can require step-up authentication or human-in-the-loop approval before an agent ever touches it.

[ 004 ]
On-Behalf-Of Data Boundaries
When an agent queries data for a person, on-behalf-of binds that request to what the person is actually entitled to see. An agent acting for a user can never reach data the user couldn't, closing the over-permissioning gap that lets a helpful assistant become a data-exfiltration path.

[ 005 ]
Secret-less Access to Every Data Source
No static database credentials or warehouse keys live inside agents or the MCP servers they call. Through the MCP Gateway, Britive brokers short-lived credentials to the downstream tool at query time, so it can reach databases, datalakes, and warehouses without ever holding a standing secret.

[ 006 ]
Full Attribution of Every Data Access Event
Every data access privilege is tied to a named identity — and, for delegated work, the authorizing human — then logged and streamed to your SIEM and SOAR. You can answer which agent read which data, on whose behalf, and when, turning agent data access from a blind spot into audit evidence.

[ 007 ]
ONe Policy Framework Across the Data Estate
Warehouses, databases, datalakes, SaaS, and cloud all fall under a single access model. Define how sensitive data is governed once, and apply it consistently to humans, non-human identities, and AI agents alike — no separate control plane for AI.
Secure Your Data Without Limiting AI Agents
REQUEST A DEMOREQUEST A DEMO
Agentic Identity Security Capabilities
Britive extends its same cloud-native access security to agentic AI identities through a single, unified platform. Secure agentic AI identities and workflows in your environment without sacrificing speed and efficiency.
Ephemeral, Just-in-Time Cloud Access
Temporary access is scoped and granted when needed, and revoked automatically when the task is complete. No standing credentials or long-term risk, so AI agents only operate with the minimum required permissions. Eliminate privilege creep and improve security posture across all identities.
Unified Visibility and Auditing
Automatically log and monitor privileged activity in real-time across all identities, human, non-human, and AI-based, to support audit readiness, compliance, tracking, and risk analysis. Security gains end-to-end visibility into the when, where, and with what permissions AI agents act. Streamline compliance, threat detection, and forensic investigations.
Secrets Management and Credential Vaulting
Secure, temporary access to sensitive credentials and privileges for secrets that can’t be made ephemeral for additional flexibility to meet technical requirements and workflows. Enforce least privilege access while keeping credentials protected and audit-ready.
Cloud Identity Security & Governance
Protect critical cloud privileges with unified visibility and audit across every identity's access to data. Manage every identity at scale across multi-cloud and hybrid environments to prevent access sprawl without additional compliance gaps or audit complexity.
REQUEST A DEMOREQUEST A DEMO




