Security that operates at the speed of the attack
In two years, AI moved from experiment to strategic driver and is reshaping how you operate, compete, and decide. Frontier models take it further — AI that reasons, plans, and acts autonomously. But the same capabilities are now surfacing vulnerabilities faster than anyone can fix them, leaving businesses exposed at a pace no current security model was built for. Can your security model adapt before attackers exploit the gap?
IBM Autonomous Security is an integrated AI-native operating model, delivering measurable reductions in risk exposure, attack surface, and response time. This operating model brings together three tightly integrated AI agents that work in unison to deliver continuous security and governance. Instead of relying on periodic assessments or isolated tools, it creates an always‑on cycle that identifies risk, strengthens defenses, and responds to threats automatically. The result is a modern, adaptive security posture that stays aligned with business needs and evolves in real time as conditions change.
Autonomous Risk Governance Orchestrator (ARGO) is an AI agent that autonomously assesses and transforms organizations by orchestrating real‑time cyber risk management and regulatory compliance. Through intelligent automation and adaptive governance, ARGO aligns cyber risk exposure with business objectives and enforces remediation through continuous controls management. The result is an end‑to‑end cybersecurity governance program that proactively runs cyber strategy, reduces risk exposure and strengthens organizational resilience.
Autonomous Defense Agents (ADA) uses AI agents to continuously secure applications, identities, data, networks and cloud environments. This tool replaces manual checks with always‑on monitoring, automated policy enforcement and rapid remediation across existing IT and security tools. ADA self‑adjusts security foundations to strengthen defenses, support compliance and reduce operational risk without adding burden to security teams.
Autonomous Threat Operations Machine (ATOM) is an agentic AI system that goes beyond individual AI agents to create autonomous security operations. The automation works by orchestrating multiple agents to interact and collaborate with each other across the entire threat lifecycle. It automates threat hunting, accelerates threat detection, creates and runs investigation plans and performs remediation steps. ATOM does the orchestrating so security teams can focus on high-risk threats rather than false positives or low-risk threats.
IBM CyberDefend® secures AI, transforms cryptography and strengthens IdOps, AppSec and cloud environments.
IBM's GRC services centralizes key cybersecurity and organizational data points across cloud, on-premises and hybrid environments.
IBM TDR services, inclusive of MDR services, helps enterprises protect existing investments and enhance them with AI.