The six new tools aim to unify exposure management, identity security and compliance into one system that governs AI agents in real time.
ServiceNow announced an expansion of its Autonomous Security offering, unveiling six unified solutions the company says are designed to deliver prevention-first, AI-native cyber defense across exposure management, vulnerability detection, cyber-physical security, identity and access security, incident response, and cyber risk and compliance. The release includes new AI Specialists intended to complete security workflows autonomously, including a Vulnerability Resolution AI Specialist, which ServiceNow says will help enterprises prevent, contain and remediate risk before threats become breaches.
As enterprises adopt agentic AI, security teams face a fast-multiplying challenge, according to ServiceNow: every new AI agent, digital identity and line of code expands an organization’s attack surface faster than human teams — or a patchwork of disconnected tools — can respond to. The average enterprise runs more than 70 separate security tools, the company says, fragmenting visibility across endpoints, networks, cloud environments and identities. ServiceNow’s new offerings are built to consolidate that complexity into a single system, with assets, identities and agents visible, secured, governed and auditable in one place.
ServiceNow calls this approach “Shift Zero” — a move from fragmented, reactive security toward prevention embedded at every layer, with every system, identity and agent governed and secured in real time. The stated goal is for an enterprise to be able to answer, with evidence, what every system is doing, why, and who is accountable, even as AI-driven activity accelerates.
“As AI exposures compound exponentially, security teams operate on a human clock,” said Yevgeny Dibrov, senior vice president and general manager of cybersecurity and risk at ServiceNow. “Machine identities double every 18 months. Fragmented security tools can’t match the curve AI is creating. Organizations need autonomous security and governance that matches the scale, velocity and unpredictability of the threats coming — where all assets, identities, AI agents, critical infrastructure, cloud environments and code are protected, and can adapt as fast as the ecosystem moves to detect and remediate threats in real time. Security becomes an accelerant, not the brake.”
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Six Solutions, Integrated Into ServiceNow’s AI Control Tower
- Unified Exposure Management consolidates vulnerability findings from across an organization, enriching them with business context and exploitation intelligence. Within this, Agentic Exposure Management combines findings from multiple sources with threat intelligence and prioritized remediation guidance, while a Vulnerability Resolution AI Specialist is designed to orchestrate triage and remediation at scale, including executing low-risk patches automatically.
- Continuous Vulnerability Detection brings code, cloud and infrastructure risk into a single platform. Application Security extends threat modeling to AI-generated code and model dependencies, aiming to surface supply-chain vulnerabilities before deployment; Dynamic Application Security Testing validates runtime vulnerabilities in live applications and APIs; and External Attack Surface Management is designed to surface infrastructure exposure from an attacker’s perspective.
- Cyber-Physical Security extends visibility to operational technology, medical devices and IoT systems — areas ServiceNow says are often blind spots for legacy tools. Agentic AI for Cyber-Physical Security offers agentless discovery across OT and medical networks, establishes behavioral baselines, monitors compliance continuously, and models potential attack paths, with automated remediation workflows intended to work across existing environments without custom engineering.
- Identity and Access Security targets non-human identities — service accounts, cloud identities and AI agents — which the company says are widespread and largely ungoverned today. AI Agent Access Security unifies access control for AI agents across platforms and model providers, while Non-Human Identity Remediation automates key rotation, deprovisioning and permission revocation across IT, OT, IoT and medical networks, applying the same identity governance to AI agents and service accounts as human users.
- Agentic Incident Response automates triage and investigation to reduce the manual work of stitching together threat intelligence, asset ownership and identity data during an incident. A Tier 2 SOC AI Specialist is designed to autonomously build and execute multi-phase response plans for complex incidents — handling enrichment, correlation, containment and blocking — while escalating high-risk decisions to human analysts.
- Cyber Risk and Compliance aims to shift compliance from a periodic, manual scramble to a continuous operational process. Agentic AI for Continuous Control Monitoring evaluates segregation of duties, access rights and configuration state across ServiceNow and external systems in real time, generating compliance-ready reports on demand for frameworks including SOC 2, ISO 27001, PCI-DSS and HIPAA. Cryptographic Asset Compliance is designed to help organizations migrate from legacy cryptographic algorithms to quantum-resistant standards, combining discovery, AI-based risk profiling and guided migration workflows across on-premises and cloud environments.
ServiceNow says these capabilities build on its existing security and risk business, along with technology from its Armis and Veza acquisitions. Armis provides continuous visibility across connected assets, tracking devices in real time; Veza’s Access Graph maps effective permissions across human, machine and AI identities. Both now feed into ServiceNow’s AI Control Tower and orchestration layer.
