ServiceNow, which is billing itself as “the fastest-growing major enterprise cybersecurity company,” is bringing identity, exposure management and incident response into a unified security offering as enterprises give AI agents greater access to business systems and data.
The vendor is expanding its cybersecurity portfolio with six groups of security capabilities designed to help enterprises manage the risks created by increasingly autonomous AI systems.
The announcement comes as enterprises move AI agents from information retrieval and assistance toward tasks that involve accessing applications, modifying data and triggering business processes. This is creating a security challenge that traditional controls were not designed to address.
An AI agent can have its own credentials, access multiple applications, consume untrusted information and make decisions about what action to take. If compromised or poorly governed, that agent could provide an attacker with a route into systems that previously required a human user to access.
Cybersecurity experts are warning that enterprises need stronger approaches to identifying, authorizing and blocking AI agents as they gain access to diverse datasets, tools and applications.
ServiceNow is positioning its new Autonomous Security portfolio around the idea that security teams need to govern assets, identities and AI agents through the same operational workflows.
AI Agents Create a New Identity Problem
One of the significant elements of ServiceNow’s announcement is its focus on non-human identities.
Traditional identity and access management has largely been designed around employees, contractors and other human users. AI agents add another category of identity, with potentially different lifecycles, permissions and behavioral patterns.
An agent may need access to a CRM system to retrieve customer information, for example, while another could have permission to update records or initiate refunds. If those permissions are broader than necessary, or persist after the agent’s task has finished, they create additional exposure.
The problem becomes more complicated when agents interact with other agents and applications, creating chains of automated activity that can be difficult for security teams to reconstruct.
ServiceNow’s AI Agent Access Security is intended to provide access controls for AI agents across different platforms and model providers. Its Non-Human Identity Remediation capability is designed to automate actions including key rotation, deprovisioning and permission revocation across IT, OT, IoT and medical environments.
This direction is consistent with a broader industry focus on giving agents explicit identities and permissions. Microsoft, for example, has argued that securing an agentic workforce requires treating agents as identities within an organization’s security architecture.
ServiceNow Expands Exposure Management
ServiceNow said its Agentic Exposure Management capability will consolidate vulnerability findings from multiple sources and enrich them with threat intelligence and business context.
It is also introducing a Vulnerability Resolution AI Specialist that can orchestrate vulnerability triage and remediation, including executing low-risk patches.
That distinction is important as enterprises generate more software and infrastructure through AI-assisted development. The volume of code, dependencies and potential misconfigurations is increasing, while security teams are under pressure to prioritize vulnerabilities based on real business impact rather than treating every issue as equal.
ServiceNow is extending its Application Security capabilities to cover AI-generated code and model dependencies, alongside Dynamic Application Security Testing and External Attack Surface Management.
The objective is to connect vulnerabilities across application, infrastructure and external attack surfaces rather than treating each as a separate security problem.
Autonomous Response Moves Into the SOC
ServiceNow is also applying AI agents to security operations. Its Agentic Incident Response capability includes a Tier 2 SOC AI Specialist designed to investigate incidents and execute multi-stage response plans.
The system can perform activities such as enrichment, correlation, containment and blocking, with higher-risk decisions escalated to human analysts.
Security operations are shifting toward AI-assisted investigation and response as the volume of alerts and security telemetry increases. Security teams are looking for ways to automate repetitive investigation work, reduce analyst fatigue and respond faster to active threats.
The challenge is that giving an AI system the authority to contain an incident introduces another layer of risk. The organization needs to know what the agent can change, why it made a decision, what data informed that decision and how the action can be reversed.
