ServiceNow Unveils Autonomous Cyber Defence Security Vision Building off its Autonomous Security vision, ServiceNow will offer six unified solutions to deliver AI-native cyber defence, expected to be available in December 2026, with a focus on prevention over reaction. The solutions will span cyber-physical security, agentic incident response, cyber risk and compliance, unified exposure management, identity and access security and continuous vulnerability detection. Following 82.8% of organisations reporting AI projects are already underway or planned for release within the next year, governing agents multiplies exposure faster than a human team can handle. But without proper integration of AI tools, insights and automations risk fragmentation, leaving enterprises in no better position than teams without proper agentic AI tools. According to ServiceNow's Shift Zero brief, the average enterprise runs more than 367 applications across the employee experience alone, each with its own data model, security perimeter and governance logic. Since AI agents can only execute as well as the data infrastructure underneath them, enterprise AI maturity is declining by 20% year after year. “As AI exposures compound exponentially, security teams operate on a human clock. Machine identities double every 18 months. Fragmented security tools can't match the curve AI is creating,” says Yevgeny Dibrov, SVP and GM of Cybersecurity and Risk at ServiceNow. “Organisations need autonomous security and governance that matches machine speed.” The six pillars for ServiceNow's AI Control Tower ServiceNow's Unified Exposure Management consolidates vulnerability findings across all sources into a single stream. Enriched with Early Warning threat intelligence, it prioritises remediation and uses a Vulnerability Resolution AI Specialist to execute low-risk patches at scale. To address risks across code, cloud and infrastructure, Continuous Vulnerability Detection provides a single platform for risk governance. It extends threat modelling to AI-generated code, validates runtime vulnerabilities using Dynamic Application Security Testing (DAST) and identifies