Strivacity Recognized in Forrester Report on Agentic AI and Identity Security
Forrester has published a new trends report: How Agentic AI Will Turbocharge IAM Solutions. Strivacity is cited in it as a vendor delivering AI agent governance capabilities today. If you are evaluating how your identity architecture needs to evolve, the report is worth your time. You can get a copy here:
What AI agent security looks like in practice
AI agents are already operating across customer-facing applications. They sign in, make requests, and trigger workflows on behalf of customers in e-commerce, financial services, and digital support experiences. The governance question is not theoretical. It is already live for organizations that have started deploying AI-driven experiences.
What most of those organizations are discovering is that their existing identity architecture was not designed for agentic AI. Service accounts and API keys do not carry consent. They do not have lifecycles that map to the humans behind them. They do not trigger adaptive access controls when behavior looks unusual. They leave no meaningful audit trail when something goes wrong.
Agentic AI security requires the same infrastructure that customer identity and access management was built to deliver for humans: authentication, authorization, consent, adaptive controls, lifecycle management, and visibility. The difference is that AI agents operate at a scale and speed that makes manual oversight impractical.
How to secure AI agents: four controls that matter
Based on what we are building and what we hear from customers, effective agentic AI identity management comes down to four things.
- Verify before accessβ
An AI agent should be identity-proofed before it interacts with any customer account or application. That means verifying the agent and, where relevant, the human or organization behind it. An unverified agent acting on a customer account is an unacceptable risk.
- Delegate with consent
Every action an agent takes on behalf of a customer should be traceable to explicit authorization. Consent captured at registration or account setup should govern what an agent is permitted to do later, not just at the moment it is deployed.
- Apply adaptive controls
The same risk-based intelligence that flags unusual human sign-in activity should apply to AI agents. Anomalous behavior should trigger step-up authentication or human review before the agent proceeds.
- Maintain unified visibility
Security and identity teams should not have to look in two places to understand what happened. Every identity event, whether it came from a person or an AI system, should appear in the same audit trail.
How Strivacity governs AI agent identity
Strivacity for Agentic AI governs AI agents within the same identity security platform used to manage customer and partner access. That is a deliberate design decision. The consent framework, adaptive access controls, and audit trail that apply to human identities apply equally to agent identities, within a single product.
Organizations using Strivacity can:
- Verify AI agents and identity-proof the humans behind them using Physical Document Verification and fraud detection before any agent interaction takes place
- Apply secure delegation to bind each agent action to explicit customer consent, with a complete audit trail for every step
- Extend adaptive access controls to detect unusual agent behavior and trigger step-up authentication or human approval when warranted
- Give customers self-service visibility into which AI agents have access to their accounts, with the ability to revoke that access instantly
- Manage the full AI agent identity lifecycle through identity orchestration built for both human and non-human identities
One product. No separate governance layer, no additional vendor.
Forresterβs full analysis is available now. Download How Agentic AI Will Turbocharge IAM Solutions.
To see how Strivacity governs AI agent identity in practice, take an interactive tour at strivacity.com/products/tour or talk with our team at strivacity.com/company/contact-sales.
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