
"The dream of self-directed AI is becoming real, and companies can't wait to turn their agents loose on everyday workflows. Standards like the Model Context Protocol are helping agents move from chat to action, while new frameworks promise smoother integrations and smarter automation. But as these agents grow more autonomous-and start teaching themselves-so do the risks. From compliance to cybersecurity, organizations must now learn how to govern what they've unleashed."
"How self-learning AI agents will reshape operational workflowsCompanies are salivating at the idea of letting autonomous AI agents off the leash, and their emerging ability to learn from their own experiences (and mistakes) can make that vision a reality. How MCP is making AI agents actually do things in the real worldThe Model Context Protocol (MCP) is an emerging standard that allows generative AI systems to interact with other services and data stores,"
Self-directed AI agents are transitioning from chat interfaces to autonomous action in everyday workflows, enabling organizations to automate tasks and integrate services more deeply. Standards such as the Model Context Protocol enable generative AI systems to interact with other services and data stores, facilitating practical integrations and productive work. Emerging frameworks support smoother integrations, smarter automation, and agents that can learn from their own experiences. Increased autonomy and self-learning capabilities amplify risks across compliance, cybersecurity, and governance domains. Organizations must establish controls, policies, and oversight mechanisms to manage operational, legal, and security challenges posed by agentic AI.
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