Kyndryl service targets AI agent automation, security

A newly launched service from Kyndryl is designed to help businesses automate and control agentic workflows across the enterprise. The Agentic Service Management package combines a maturity model, structured assessments, implementation blueprints, and a phased roadmap aligned to emerging standards, including ISO 42001, in a single service delivered by the Kyndryl Consult division. With the service, customers get an evaluation of their organization’s AI implementations to spot gaps across service management, AI governance, security, and operations. The assessment helps customers review their existing policies, controls and workflows against relevant standards and frameworks to determine readiness for agentic operations, pursuant to ISO 42001. Kyndryl then delivers a gap analysis and a phased roadmap to help customers adopt agentic IT service management, with guardrails and human oversight to support autonomous capabilities across cloud-native and AI-native environments, according to the company. The service supports multi-cloud environments and accelerates modernization for workloads like databases, ERP systems, and hybrid deployments, according to Kris Lovejoy, global head of strategy for Kyndryl. “Most enterprise environments were built for people running tickets and tools, not for fleets of autonomous agents executing tasks across hybrid and multi-cloud estates—and this mismatch is limiting AI from moving out of pilots to outcomes,” Lovejoy said in a statement. “You can’t scale agentic workflows on top of operating models that were designed for manual work. Organizations need clear controls, repeatable practices and measurable stages of adoption so AI agents can act autonomously where appropriate—while people remain accountable for governance, risk and service outcomes.” In conjunction with the new service, Kyndryl is offering another package, Agentic AI Digital Trust, to help customers secure the AI agents’ operational framework. With Agentic AI Digital Trust, customers get a central control point for easier AI agent management and governance, the vendor stated. With it customers can: * Understand agents, serving as a single source of truth to help mitigate the risks associated with shadow AI. * Validate each agent before launch by testing for security, resilience, and policy compliance to ensure they meet your standards before going live. * Maintain control with real-time guardrails that keep agents operating within approved boundaries. Security testing, validation, and threat modeling should be incorporated into development pipelines, Kyndryl stated. “Additionally, runtime protections such as anomaly detection, guardian agents, and rapid isolation capabilities can help contain incidents before they escalate. By making security and governance foundational rather than treating them as afterthoughts, organizations can confidently scale agentic AI, knowing that risks are proactively managed, and trust is maintained with customers, partners, and regulators,” Kyndryl stated. The new service is just one of the platforms the vendor offers to manage AI agents. Last year Kyndral introduced its Agentic AI Framework. That package offers an orchestration system built to deploy and manage autonomous, self-learning agents across business workflows in on-prem, cloud, or hybrid IT environments, according to the company. Specialized agents are deployed to gather IT information, such as data analysis, compliance checks, incident response or service desk ticket resolution. Over time, agents learn from data and outcomes to improve decision-making and adapt workflows autonomously, and an orchestration engine parses that data to let enterprise systems adjust to changing conditions in real time, Kyndryl stated. The platform defines what actions agents can and cannot do, basically setting policy across the enterprise.