Agentic AI Security Assessment: Validate and Secure Your AI Agents
As organizations deploy autonomous AI agents, security bust also be ensured. Our Agentic AI Security Assessment provides a deep technical evaluation of your real-world AI environment, including AI agents, identity flows, and security controls to ensure your environment is secure, governed, and scalable.
Designed for:
- Security and IAM Teams
- Cloud and Platform Engineers
- AI and Application Owners
Ideal for organizations that are:
- Deploying or scaling AI agents and autonomous systems
- Integrating AI into business-critical workflows
- Needing validation of identity, access, and security controls
- Looking to align AI deployments with Zero Trust principles
What You Get from the Assessment
Technical Validation of AI Security Controls
Assess whether your identity and access controls effectively govern AI agents and their actions.
Deep Visibility into Identity Flows
Understand how AI agents authenticate, request access, and interact across systems.
Risk Identification Across Agent Behavior
Identify risks related to delegation, autonomy, and access patterns.
Security Gap Analysis
Detect weaknesses across architecture, identity, and implementation.
Actionable Remediation Plan
Receive prioritized recommendations to strengthen your AI security posture.
What We Assess
- Agent Identity Lifecycle
How agent identities are created, managed, rotated, and decommissioned - Delegation & Consent
OAuth, token exchange, and agent-to-agent authorization flows - Least Privilege & Dynamic Authorization
Policy-based access and runtime enforcement
- Observability & Audit
Logging, tracing, and visibility into agent decisions - Threat Model
Prompt injection, misuse, privilege escalation, data exposure - Multi-Cloud & Tool Access
Security across Azure, AWS, GCP, and AI tool ecosystems
Assessment Approach
1
Threat Model Workshop
Define agent types, data flows, and trust boundaries
2
Identity & Cloud Analysis
Evaluate identity providers, platforms, and standards
3
Zero Trust Architecture Design
Define enforcement points, delegation models, and controls
4
IAM Integration Roadmap
Embed AI security into your existing identity architecture
Looking to Get Transparency First?
If you are in an earlier stage of your AI journey and need to understand risks and define a strategy
Why iC Consult
AI security is still evolving, but identity remains the control layer. With over 25 years of experience in securing identities, we help organizations extend proven security principles to AI systems and agents.
Working with enterprises on real AI security challenges
We are already supporting organizations in assessing AI risk, securing agentic architectures, and building identity-driven AI strategies.
Deep expertise across the identity stack
From IAM and IGA to PAM and ITDR, we bring the capabilities required to govern human and non-human identities in complex environments.
Vendor-independent, ecosystem-connected
As a trusted partner to leading identity and security vendors, we provide objective guidance and integrate the right technologies for each environment.
Built for enterprise scale
From rapid workshops to global transformation programs, our delivery model supports organizations at every stage of their AI security journey.
Secure your AI Agents Today
Get a clear view of your risks and define the controls needed to secure your AI environment.