Service / Agentic AI as a Service

Agent Security & Governance

Apply policy, identity, DLP, approval and audit controls to autonomous or semi-autonomous actions.

Business context

What this capability solves

Agentic systems can compound risk because a model can act, persist state and coordinate tools. Security and governance must be embedded into the runtime instead of added after deployment.

EBP Integra delivery principle

Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.

Deep-dive capabilities

Capability model

Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.

Agent Identity

Unique workload identity, ownership and permission boundary per agent.

Tool Authorization

Allowlisted tools, fine-grained scopes, parameter validation and action constraints.

Data Protection

Prompt/tool DLP, secrets filtering, data-purpose restrictions and output handling.

Approval Controls

Human approval, maker-checker and step-up verification for sensitive actions.

Policy Engine

Risk-based allow/deny/limit decisions based on user, agent, tool, data and purpose.

Audit / Evidence

Action provenance, model/tool versions, approvals and investigation-ready traces.

Reference architecture

How the capability fits together

Final topology, control placement and deployment model are validated during discovery and detailed design.

Business & Agent Portfolio

Use cases, agent owners, risk tiers, process boundaries and value hypotheses.

AAIOS Control Plane

Agent registry, orchestration, identity, policy, approvals, memory, tool/model gateways and evaluation.

Enterprise Execution

Models, RAG, APIs, SaaS, databases, workflows and sandboxed agent runtimes.

AgentOps

Observability, SLOs, cost, incident handling, kill switch, evidence and continuous optimization.

Controls & governance

Least-privilege agent/workload identity
Human approval for high-impact actions
Approved tool schemas and transaction validation
Data classification/DLP at model and tool boundaries
Memory retention and deletion policy
Comprehensive traces and action provenance
Evaluation gates before production
Kill switch, rollback and incident escalation

Priority use cases

High-impact workflow agent
Financial action agent
Privacy/compliance agent
External-facing agent
Privileged IT/security agent

Key deliverables

Agent control baseline
Policy matrix
Permission model
Approval framework
Security test plan
Audit/evidence schema

Integration considerations

AAIOS
Enterprise IAM/workload identity
APIs and SaaS systems
Data platform and RAG/vector stores
Workflow/BPM/ITSM
SIEM/SOAR and observability
GRC/evidence systems
Model endpoints/gateways

Implementation

Phased delivery

Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.

1. SelectPrioritize workflows by value, feasibility, risk and data/tool readiness.

2. EngineerDesign agents, tools, RAG, policy, human checkpoints and AAIOS runtime.

3. AssureSimulate, evaluate, red-team, approve and define SLOs.

4. OperateRun through AgentOps, manage incidents and continuously optimize.

Outcome and KPI framework

Unauthorized action blocksApproval bypass findingsSensitive data eventsPrivilege reductionAudit completeness