Agentic AI Engagement

A two-week practitioner-led engagement that equips your IAM, cloud, and platform teams to build and govern AI agents securely across AWS, Azure, and Google Cloud.

Sonrai senior practitioners work alongside your team to inventory every agent in scope, score your governance maturity, write custom guardrails and policies for your environment, and train your builders to ship agents securely from here on. By Day 10, your leadership has an executive readout. Your IAM and platform teams have a roadmap and the skills to execute it.

Every output is custom-built for your environment. No templates. No generic reports..

Who this is for

This engagement is built for senior leaders who carry the agent security mandate.

IAM leaders folding non-human identities into existing certification, recertification, and lifecycle programs.

Cloud operations leaders who need
to know what agents are running,
what permissions they have, and what
to do when one misbehaves.

Cloud platform owners responsible for the secure templates and standards AI agent builders work from.

Security leaders who need a defensible position on agent risk for the board and audit.

The executive readout is built for your CISO, CIO, or Chief Risk Officer.

What are the outcomes?

You walk away with custom artifacts your team puts into production, and the skills to keep using them.

Custom artifacts

Lasting capability

Full inventory of AI agents and the identities they run as, across in-scope hyperscalers.
Five-dimension maturity score with current state, target state, and coverage.
Custom guardrails, policies, and controls for AWS (IAM, SCPs, Bedrock Guardrails), Azure (Azure Policy, Conditional Access, Prompt Shields), and GCP (Org Policies, Model Armor)
Now / next / later roadmap with named owners.
Written assessment report with findings and evidence.
Executive readout deck, presented and left behind.

Builders trained on secure agent development for your environment.
IAM team ready to fold agents into existing certification and lifecycle motions.
Platform team equipped to give builders secure default templates with guardrails built in.
Security and risk leaders with a measurable maturity baseline to rescore over time

The training is the point. Your team is equipped to design, deploy, and govern AI agents securely from here on, without Sonrai in the room.

What is the process?

Five stages over two weeks. Every stage is customized to your environment,
your hyperscalers, and your existing IAM program..

PRE-
ENGAGEMENT

SCOPE & ACCESS

SOW, scope, and success criteria defined with your team.
Read-only access model agreed in advance.
Stakeholders aligned across IAM, security, platform, builders, and an executive stakeholder.

DAYS
1 - 4

DISCOVER

Kickoff and access provisioning, with Sonrai support.
Read-only monitors deployed across in-scope AWS, Azure, and GCP environments.
Inventory of every agent, identity, role, entitlement, and AI service in use.
Initial builder workshop to capture how agents are designed, deployed, and operated today.
Optional agent-led interviews via Slack or Teams to capture builder context at scale.

DAYS
5 - 6

ASSESS

Sonrai-internal analysis of effective permissions versus actual agent activity.
Mapping to a five-dimension maturity model: Policy & Approval, Ownership & Lifecycle, Permissions, Guardrails, Builder Enablement.
Custom workshop designed for your team, based on the gaps that matter.

DAY
7

WORKSHOP & ENABLE

Collaborative training session with your builders.
Walkthrough of how to design, deploy, and govern AI agents securely on your hyperscalers.
Reference policies, guardrails, and controls left behind for your builders to keep using.

DAYS
8 - 10

READOUT & ROADMAP

Maturity scored, roadmap finalized, executive readout deck built.
60-minute executive readout for leadership, with comments and decisions captured.
Written assessment delivered with findings, evidence, and recommendations.
Now / next / later roadmap with named owners across IAM, platform, and security.

Why should you do this?

1

Practitioner-led, not generalist. Your engagement is staffed by senior cloud identity practitioners with original research on AI agent attack paths.

2

Hyperscaler-native across all three clouds. AWS (Bedrock, AgentCore, Amazon Q), Azure (AI Foundry, Copilot Studio, Defender for AI), and Google Cloud (Vertex AI, Gemini Enterprise, Model Armor) all in scope.

3

Read-only, two weeks, fixed scope. No agents installed in your infrastructure. No rip-and-replace. No multi-month commitment.

Who’s leading your engagement

Sonrai co-founder & CTO Sandy Bird and a senior team of cloud identity practitioners with original research on AI agent attack paths.

in

Get started

Confirm scope today. SOW in your hands tomorrow.
Findings on Day 10.

Interactive Product Tour