Agentic AI Security
Discover
3-4 Hours
Strategy
2-3 Weeks
Foundation
4-8 Weeks
Deployment
30-90 Days
Operations
Ongoing
Discover. Protect. Govern. Every AI Agent.
Our AI Discovery Workshop & AI Agent Identity Security & Blueprint engagements help you answer the questions you need to secure AI at speed and at scale.
Where are your agents?
Most organizations can’t answer this accurately. Agents operate without IT’s knowledge in browsers, desktops, and third-party SaaS connections. Visibility isn’t aspirational—it’s the minimum standard for operating in production.
What can they connect to?
Once visible, map every resource each agent can reach—MCP servers, SaaS applications, agent-to-agent handshakes, vaulted credentials. A compromised agent chaining access at machine speed is fundamentally different from a compromised user account.
What can they actually do?
Knowing where agents are isn't enough without runtime enforcement. You need a kill switch for immediate revocation, human-in-the-loop approval for sensitive actions, and complete audit logs flowing to your SIEM.
Why Organizations Need an AI Identity Strategy
AI agents are quickly becoming part of everyday business operations—but most organizations lack visibility into where they’re operating, what they can access, and how they’re authenticated.
Without a defined identity strategy, AI adoption introduces new security, governance, and compliance risks.
Our AI Discovery Workshop and AI Agent Identity & Security Blueprint engagements help organizations establish the identity architecture, governance model, and Zero Trust controls needed to securely scale AI across the enterprise.
How We Help Secure Agentic AI
Every AI agent must be governed like your most privileged human user.
We help you and your teams:
Discover
Locate your agents
Gain visibility into where AI is being used across your organization by identifying AI initiatives, agent workflows, shadow AI, machine identities, and business owners. Establish a clear inventory of your AI ecosystem as the foundation for governance.
Protect
Map connections and access
Understand how AI agents interact with your environment by mapping the applications, APIs, data platforms, cloud infrastructure, and secrets they rely on. Identify identity and access risks before they become security gaps.
Govern
Define controls and ownership
Establish the governance framework needed to manage AI securely, including ownership, lifecycle management, approvals, certifications, audit logging, and compliance requirements to ensure accountability across every AI agent.
Roadmap
Prioritize the path forward
Develop a practical roadmap tailored to your environment, including quick wins, target architecture recommendations, and a phased plan to securely scale AI adoption across your organization.
Business Outcomes
This is not a theoretical advisory.
We offer a hands-on engagement that delivers an implementation-ready blueprint that enables secure AI adoption at enterprise scale.
- Secure AI adoption without slowing innovation
- Reduce AI security and compliance risk
- Gain visibility into AI agents and their privileges
- Eliminate future AI security debt
- Enable board-level reporting and executive decision-making
- Build a scalable foundation for AI governance
What We Deliver in One Week
Executive Summary
A concise executive briefing outlining key observations, business risks, strategic recommendations, and the highest-priority next steps.
AI Readiness Snapshot
An assessment of your organization's AI identity maturity, security readiness, governance capabilities, and the opportunities that will deliver the greatest impact.
AI Discovery Report
A complete inventory of AI agents, machine identities, ownership, Shadow AI, workflows, and the systems they interact with, providing visibility across your AI ecosystem.
Identity & Governance Assessment
An evaluation of your current identity controls, governance capabilities, security gaps, risks, and recommended improvements to strengthen AI security and compliance.
Target Architecture & Roadmap
A future-state identity-first reference architecture, prioritized quick wins, and a phased implementation roadmap to securely deploy, govern, and scale AI.
