AI agents, which automate various tasks, require authentication through high-privilege API keys and OAuth tokens. These non-human identities (NHIs) now outnumber human accounts in cloud environments. AI agents can make autonomous API calls, creating risks if their credentials are compromised. Large language models operate on probabilities, leading to unpredictable behavior in how access is used. Current identity governance tools focus on human accounts, lacking the necessary context to manage NHIs effectively and creating substantial security challenges.
AI agents must authenticate with high-privilege API keys or OAuth tokens, making non-human identities (NHIs) a significant target for attackers in cloud environments.
AI agents can automate tasks autonomously without human intervention, and if their credentials are compromised, the potential damage can escalate as actions increase.
Large language models (LLMs) function on probabilities rather than deterministic rules, creating unpredictability in how AI agents will utilize granted access.
Existing identity governance tools are designed primarily for human users, leaving a gap in managing the identities and permissions of non-human entities like AI agents.
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