AI Security & Access
Every Agent Gets an Identity. Every Action Gets a Permission.
AI agents act on behalf of people and systems, and that creates a question most identity tools were not built for: who is this agent, what is it allowed to do right now, and who answers for it afterwards? Our work in this area covers agent identity, delegated and time-bound permissions, policy checks before every tool call, and tamper-evident logs. We have filed four patents on agentic AI security and access. This service applies that work to your environment, including agent-to-agent (A2A) communication, MCP tool access and personal-data controls aligned with the DPDP Act.
4
Patents filed
Least privilege
Access model
Every call
Action logging
Cloud / On-prem
Deployment
Use Cases by Industry
Scope what a lending agent can read and approve, with a full trail for auditors
Department-level boundaries so one agent never sees another department's records
Agents that touch patient data only for the task and the clinician in front of them
Delegated agent access to billing and network tools with revocable credentials
How It Works
Agent & Access Inventory
List every agent, tool and data source in use, and who each agent acts for.
Identity & Policy Design
Give each agent a verifiable identity and write scoped, revocable permissions for its tools.
Enforcement Layer
Check policy before each action, mask personal data where it is not needed and block anything out of scope.
Audit & Review
Keep a searchable record of agent actions and review access on a fixed schedule.
BringUsOneWorkflowThatNeedsFixing
Send us a process, a dataset or a customer journey. In a 30-minute call we will tell you whether AI is the right tool, what it would take, and what we would build first.