ServiceNow is
expanding its cybersecurity portfolio around what it calls Autonomous Security, bringing six security areas into the ServiceNow AI Platform and using AI agents to handle more work across detection, investigation, remediation and governance. The company is now connecting exposure data, identities, assets, incidents and compliance activity through a common operational layer.
Security around shared context
ServiceNow is building that model on its existing footprint across IT operations, security and risk, along with capabilities added through Armis and Veza.
Simon Mouyal, chief marketing officer at ServiceNow, said that foundation gives the platform a shared view across assets, identities, workflows and business context. He told MSSP Alert,
“ServiceNow sits at the operational core of the world’s largest enterprises with the CMDB, Workflow Data Fabric, and twenty years of embedded operational intelligence across IT, security, and risk. With the addition of Armis and Veza in ServiceNow's AI-native platform that foundation provides a synthetic world model of the enterprise across assets, identities, workflows, and business context. This deep knowledge powers an agentic system of action that lets defense run autonomously. Rather than relying on disconnected tools, six core security capabilities operate from the same data model and operational context.”
Exposure management is a big part of that approach. ServiceNow is combining vulnerability findings from multiple sources with business context and exploitation intelligence, then using its Vulnerability Resolution AI Specialist to triage issues, execute lower-risk patches and work through remediation backlogs.
The platform also reaches into application security, dynamic application security testing and external attack surface management, giving security teams visibility across code, cloud and infrastructure.
“What makes this different is that we're not just helping customers detect threats faster. We're helping them prevent them by drastically reducing their exposure. Our Autonomous Security portfolio brings together unified exposure management, continuous vulnerability detection, cyber-physical security, identity and access security, agentic incident response, and cyber risk and compliance into a single platform that can understand business context, orchestrate remediation, and provide proof of what acted, why, and who is accountable,” Mouyal said.
ServiceNow calls this broader strategy Shift Zero, its model for putting prevention, autonomous action and governance across the security lifecycle.
“This is what we call Shift Zero: governed, autonomous security operating at machine speed. It's a prevention-first approach that deploys AI faster than threats can scale, with autonomous defense and accountability built in as a continuous state. Architected for cyber resilience, Shift Zero embeds prevention into every layer of the security lifecycle, with governance integrated from the start. And if a breach does occur, organizations can detect it instantly, identify the attacker, and contain the threat in seconds.”
AI moves from security analysis into action
The more significant shift comes in what ServiceNow is allowing AI to do after a risk or incident has been identified.
Its AI Specialists can handle tasks including vulnerability prioritization, incident enrichment, threat correlation, approved low-risk patching, credential rotation, permission revocation and compliance validation. In incident response, the Tier 2 SOC AI Specialist can also develop and execute multi-stage response plans involving enrichment, correlation, containment and blocking.
“Our philosophy is autonomous execution with human governance. ServiceNow's AI Specialists can autonomously perform many routine, low-risk security operations, including consolidating and prioritizing vulnerabilities, enriching incidents with context, correlating threats, executing approved low-risk patches, rotating credentials, revoking permissions, validating compliance controls, and building multi-phase incident response plans.”
Where that autonomy stops becomes important as AI gets deeper into security operations. ServiceNow is drawing the line around the risk and business impact of an action, with higher-risk decisions going back to analysts.
“When decisions involve higher risk or broader business impact, humans remain in control. For example, the Tier 2 SOC AI Specialist can investigate, correlate, enrich, and contain incidents autonomously, but escalates high-risk decisions to human analysts for approval.”
“The goal isn't to remove people from security. It's to eliminate manual work where AI can safely operate while ensuring governance, accountability, and human oversight where judgment matters most. That's how enterprises achieve machine-speed defense without sacrificing trust or control.”
Identity is part of the Autonomous Security model
Identity is another piece of this as companies add more service accounts, machine identities and AI agents.
ServiceNow’s AI Agent Access Security is designed to govern AI agent access across different platforms and model providers. Non-Human Identity Remediation can take actions including key rotation, deprovisioning and permission revocation across IT, OT, IoT and medical environments. That brings AI agents and other machine identities into security workflows that have traditionally centered on human users.
ServiceNow is applying a similar model to cyber-physical systems and compliance. Its cyber-physical security capabilities cover agentless discovery, behavioral baselining and continuous compliance monitoring across OT and medical networks. On the governance side, AI agents can continuously evaluate access rights, segregation of duties and configuration states and surface violations as they happen.
What This Means for MSSPs
For MSSPs, the question is how these capabilities translate across multiple customers. Providers may be managing cloud infrastructure, traditional IT, OT, IoT, identities and AI agents at the same time, often through separate security products and operational consoles.
“MSSPs are increasingly expected to manage highly distributed customer environments spanning cloud, IT, OT, IoT, identities, and now AI agents. ServiceNow provides a unified operational platform that consolidates telemetry and findings from across those environments into a single, governed console,” Mouyal said.
ServiceNow sees automation as one way MSSPs could handle that complexity without adding people at the same rate as customers and workloads grow. The platform can prioritize exposures using business context, automate investigation and remediation workflows and continuously monitor compliance across those environments.
“Rather than switching between dozens of disconnected tools, MSSPs can prioritize exposures based on business context, automate investigation and remediation workflows, and continuously monitor compliance from one platform. AI Specialists, such as the Vulnerability Resolution AI Specialist, can streamline operational tasks by automating triage, executing low-risk patches, and clearing exposure backlogs at enterprise scale while maintaining full auditability. This allows analysts to focus on critical, high-risk incidents. The result is faster response, greater operational consistency, and the ability to scale security operations without scaling headcount at the same rate.”
ServiceNow is pushing deeper into security operations, connecting security findings directly to remediation through its workflow and operational data. That also puts more security decisions in the hands of AI, from patching vulnerabilities to containing incidents and changing access permissions across enterprise and MSSP environments.
