As artificial intelligence moves beyond chatbots and into autonomous agents capable of making decisions and executing tasks, organizations are facing a new cybersecurity challenge: how do you control what AI agents are allowed to do in real time?
To address this growing concern, identity security company Saviynt has introduced new capabilities for its Identity Security for AI platform, including Intent-Aware Runtime Authorization (IARA), a technology designed to monitor and control AI agent behavior while actions are taking place. The latest enhancements also strengthen identity verification to help organizations reduce impersonation and fraud risks as AI adoption accelerates.
Why AI Agents Need a New Approach to Identity Security
AI agents are becoming increasingly capable of performing complex business tasks with minimal human intervention. From accessing company applications to interacting with APIs, databases, and other AI systems, these digital workers can complete thousands of actions within seconds.
While this creates significant productivity gains, it also introduces new security concerns.
Traditional identity and access management systems were designed primarily for human users and conventional software applications. They often rely on static permissions that may not accurately assess whether an AI agent's action is appropriate in a specific situation.
As enterprises deploy AI agents into production environments, organizations need security tools that evaluate access decisions dynamically rather than relying solely on predefined permissions.
Saviynt Introduces Intent-Aware Runtime Authorization
To meet this need, Saviynt has enhanced its Agent Access Gateway with Intent-Aware Runtime Authorization (IARA).
Rather than simply checking whether an AI agent has permission to perform a task, IARA evaluates several factors at the exact moment an action is requested, including:
- The identity of the AI agent
- The surrounding context
- Organizational security policies
- The agent's intended objective
If an action falls outside approved policies or appears inconsistent with its intended purpose, the system can immediately block the request while generating an audit record for security teams.
This runtime approach allows organizations to respond to AI behavior as it happens instead of relying solely on permissions granted beforehand.
Moving Beyond Static Access Controls
According to Vibhuti Sinha, Chief Product Officer at Saviynt, AI agents should now be viewed as a new category of enterprise identity.
"AI agents are becoming a new class of enterprise identity, autonomous, powerful, and capable of taking action across critical business systems."
He explained that Agent Access Gateway enables organizations to make security decisions at the point where AI actions occur.
"With IARA, organizations can move beyond static permissions and make access decisions based on what an agent is trying to do, why it is doing it, and whether that action should be allowed."
This approach aims to give enterprises greater confidence as they automate increasingly sensitive business processes.
How Runtime Authorization Protects Business Systems
One of the biggest challenges with AI agents is that technical authorization alone does not always guarantee appropriate behavior.
For example, a sales support AI may legitimately access customer relationship management (CRM) data to summarize a sales opportunity.
However, if that same AI suddenly attempts to export customer records, alter pricing information, or initiate customer communications without approval, organizations need a way to determine whether those actions align with the user's original intent.
Saviynt's runtime authorization engine is designed to identify these mismatches instantly and stop unauthorized actions before they can impact sensitive systems or data.
Expanded Governance Across the AI Ecosystem
Alongside runtime authorization, Saviynt has expanded governance capabilities throughout its broader Identity Security for AI platform.
Organizations can now manage:
Runtime access control for AI agents
Policies can evaluate and regulate AI agent behavior dynamically while tasks are being executed.
Tool and application permissions
Security teams can define both static and adaptive policies that determine which tools, applications, APIs, and resources AI agents are permitted to use.
AI delegation tracking
The platform can distinguish whether an AI agent is acting independently, operating on behalf of a human user, or carrying out requests from another AI agent, providing greater accountability across automated workflows.
These controls help organizations enforce least-privilege access while improving visibility into autonomous AI activity.
Stronger Identity Verification to Reduce AI-Driven Fraud
As AI-generated content and impersonation techniques become increasingly sophisticated, verifying human identities is also becoming more important.
To address this, Saviynt has introduced new identity verification capabilities directly within its platform.
The enhanced verification process includes:
- Biometric scanning
- Selfie photo verification
- Liveness detection
- Support for more than 4,000 government-issued identity documents across over 177 countries
These features are designed to strengthen identity assurance during certification processes while helping reduce impersonation, unauthorized access, and social engineering attacks.
Broader Integration Across Enterprise AI Platforms
Saviynt also continues to expand compatibility across enterprise AI ecosystems.
The latest release introduces additional native integrations with platforms including:
- Microsoft Foundry
- N8N
- Snowflake Cortex
These integrations help organizations manage AI identities consistently across where agents are built, deployed, and interact with enterprise applications.
Addressing the Next Generation of AI Security Challenges
As organizations increasingly rely on autonomous AI systems, securing those systems will require more than traditional identity management.
By combining runtime authorization, AI governance, and advanced identity verification, Saviynt aims to help enterprises address two rapidly emerging security priorities: controlling AI agent behavior during execution and reducing the risk of identity impersonation.
As AI continues to reshape business operations, solutions that provide real-time visibility and policy enforcement are becoming essential for organizations seeking to innovate without compromising security.