Natoma Agent Access | Executive Brief
AI’s promise—both practical and magical—has become the topic among CIOs, CISOs, and technical practitioners alike. One of the most thrilling developments is the rise of agentic AI: systems capable of operating with considerable autonomy. While the potential that agentic AI unlocks is groundbreaking, it also introduces new challenges. Organizations must grapple with new access paradigms, in which over-permissioned systems can act without human oversight. AI agents themselves face constraints due to fragmented enterprise systems and data stored in legacy systems, that hinder their efficacy.
AI’s promise—both practical and magical—has become the topic among CIOs, CISOs, and technical practitioners alike. One of the most thrilling developments is the rise of agentic AI: systems capable of operating with considerable autonomy. While the potential that agentic AI unlocks is groundbreaking, it also introduces new challenges. Organizations must grapple with new access paradigms, in which over-permissioned systems can act without human oversight. AI agents themselves face constraints due to fragmented enterprise systems and data stored in legacy systems, that hinder their efficacy.