Behavior Profiles
Raksha AI — May 2026
The Problem with Identity Alone
Agent identity is necessary but not sufficient for operational governance. Knowing who an agent is does not tell you what it is allowed to do right now, under what constraints, in which environment, or whether a human needs to review its actions before execution.
Traditional access control systems were designed around human operators performing predictable, bounded actions under stable role assignments. Autonomous agents operate differently: the same agent identity may be legitimately authorized to operate across development, staging, and production environments — but with dramatically different capability scopes, data access boundaries, autonomy levels, and escalation requirements in each. A policy that treats the same identity the same way regardless of operational context is not enterprise governance. It is a static permission list that the operational reality of agentic systems will quickly outgrow.
Behavior profiles exist to solve this problem. They decouple identity from operational scope, making the latter something that can be explicitly defined, approved, versioned, and enforced at runtime.
What a Behavior Profile Is
A behavior profile is the approved operating envelope for an agent. It is a governed, versioned artifact that defines what an agent is authorized to do — not as a static permission list, but as a complete operational specification that the Agent Governance Plane evaluates at runtime on every tool invocation.
A behavior profile defines:
Tool visibility and invocation scope. The set of MCP tools the agent can discover, see, and call. An agent operating under a profile that does not include a tool cannot see it in discovery responses, cannot plan with it, and cannot invoke it. Tool visibility is a governance boundary, not just an authorization check.
Data scope constraints. The data categories, sensitivity classifications, and tenant boundaries the agent is permitted to access. Data scope constraints apply at both the tool invocation layer (what tools the agent can call) and the context governance layer (what information the agent is permitted to acquire and reason over).
Autonomy level. The degree of independent execution the agent is permitted to exercise. Autonomy levels range from fully supervised — every action requires human approval before execution — to fully autonomous, with configurable thresholds in between. Autonomy levels can be scoped to specific tool categories: a profile might permit autonomous read operations while requiring approval for all write or delete operations.
Runtime context constraints. The environmental and operational conditions under which the profile is valid. A profile may be scoped to a specific deployment environment (production, staging, development), a time window, a geographic boundary, or a set of runtime metadata conditions. An agent presenting a valid identity token but operating outside the profile's runtime context constraints is rejected at the profile activation step.
Escalation policy. The conditions under which a HOLD decision is triggered and a human reviewer must approve the invocation before execution proceeds. Escalation policy is evaluated by the Policy Engine on every invocation and can be scoped to tool type, operation type, data sensitivity level, or combinations of runtime context signals.
The Approval Workflow
A behavior profile does not become active through configuration alone. It must be explicitly approved before it can be attached to an agent identity and used for runtime governance.
The approval workflow is a first-class operational primitive. A new profile or a modification to an existing profile enters a pending state and is submitted to the configured approver set for that agent's team and deployment scope. Approvers review the profile specification — the tool access list, data scopes, autonomy level, and escalation policy — and explicitly approve or reject it. Only approved profiles can be activated and used at runtime.
This workflow exists for a specific reason: it ensures that a human has reviewed and signed off on every governed operating envelope before an autonomous system executes under it. The approval record is part of the immutable audit trail. When a governance question arises later — why did this agent have write access to this tool, under what constraints, who approved it — the answer is in the audit log.
Multi-Profile Execution
A single agent identity can be associated with multiple behavior profiles. This reflects operational reality rather than a design convenience.
Enterprise agents routinely operate across different environments, task types, and operational contexts. A data pipeline agent might require a broad read-only profile for exploratory analysis, a narrow scoped profile for production data access, and a tightly constrained profile for operations that interact with regulated or sensitive data categories. These are not different agents — they are the same agent identity operating under different approved envelopes depending on what it has been asked to do.
Multi-profile support means the governance model scales with operational complexity without requiring a proliferation of distinct agent identities. Each profile is independently approved, independently versioned, and independently revocable. Revoking a production access profile does not affect the agent's ability to operate under a development or read-only profile. Compromised credentials cannot inherit access beyond the approved scope of the profile they were issued under.
At runtime, the Agent Governance Plane evaluates which profile the agent is operating under for the current invocation. Profile selection is explicit — the agent presents the profile it is requesting to operate under, and the Policy Engine validates that the profile is approved, active, and valid for the current runtime context before proceeding.
Runtime Enforcement
Behavior profiles are not a configuration artifact that lives in a database and is consulted occasionally. They are the primary input to the Policy Engine's evaluation on every invocation.
When the Proxy receives an agent tool invocation, it resolves the agent's active behavior profile as part of the authentication and authorization sequence. The Policy Engine evaluates the invocation against the agent identity, the active profile, the target tool, the requested operation, and the current runtime context — together. The decision (ALLOW, DENY, or HOLD) reflects all of these dimensions simultaneously.
A behavior profile change — a scope expansion, a new tool grant, a tightened escalation policy — takes effect immediately on the next invocation after the profile update propagates to the Proxy's policy cache. There is no lag between a governance decision and its enforcement.
Per-field profile specification, YAML schema, profile versioning and diff audit records, approval workflow integration, profile inheritance and composition, runtime activation and validation, and the full Policy Engine evaluation model against behavior profiles are documented in the detailed Behavior Profiles reference.
Naveen Kumar Vandanapu — Founder, Raksha AI · getraksha.com