AI-Powered Security & Remediation Tools cover the class of products that use agentic and orchestration-capable models to detect, investigate, and remediate security incidents while adding governance and visibility required by enterprises. This topic spans automated SOC platforms that ingest and triage alerts, remediation-focused assistants (e.g., Furl-style tools), AI infrastructure that surfaces agent activity, and governance platforms that centralize policies, monitoring, and vendor controls. Relevance as of 2026-01-24: organizations are adopting agentic AI to speed incident response and reduce time-to-remediate, even as regulators and risk teams demand stronger auditability and vendor governance. That dual pressure—operational efficiency plus compliance—drives demand for platforms that combine runbooks, observability into agent behaviors, and policy enforcement across multi-vendor stacks. Key platforms and roles: Radiant Security exemplifies agentic SOC automation that automates ingestion, triage, investigation, and response across existing security tooling. Xilos positions itself as enterprise-grade infrastructure to provide comprehensive visibility into connected services and agentic activity. Monitaur focuses on governance for regulated industries (insurance and similar), centralizing policy, monitoring, validation, and vendor oversight. StackAI and Kore.ai offer end-to-end platforms for building, deploying and governing AI agents—StackAI emphasizing low-code/no-code developer experiences and Kore.ai emphasizing multi-agent orchestration and observability. Practical implications and trends: buyers should evaluate audit trails, explainability of agent actions, integration breadth with security stacks, and vendor governance/maturity. AI tool marketplaces are increasingly relevant as discovery and standardized vetting surfaces for pre-built agents and remediation playbooks. Overall, enterprises must balance automation gains with controls that ensure traceability, compliance, and predictable remediation behavior.