Shadow AI and Agentic Security
AI Agents Don’t Just Run. They Act.
No-coders’ are building multi-task AI agents that follow instructions, call tools, access data, and trigger actions, often without security review.
Nokod doesn’t just discover them, we watch, adapt, and protect them in real time, so Shadow AI doesn’t stay in the shadows.
When Agent Behavior Turns Risky
Agentic risk grows quietly as agents roam new paths, touch new data, and respond to inputs they were never meant to handle.
Nokod tracks this behavior continuously, spotting when agents are overshared, weakly authenticated, exposed to sensitive data, manipulated through prompt, or pushed to reveal PII, long before these missteps turn into real damage.
What We Uncover
AI agents don’t live AppSec pipelines, and their risk isn’t visible from static code alone. Nokod discovers and maps agentic systems across platforms, giving security teams a clear, actionable view before, and while agents run. From zero visibility to a clear map
Complete inventory of all AI agents, including what they do and how often they run
Discovery of agent instructions, capabilities, and workflows
Data sources each agent can access, and how those connections are used
Permissions and identity context, including users, groups, and service accounts
Visibility into who is using each agent and how it’s being invoked
Identification of publicly accessible or externally triggered agents
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Block agent usage in real time based on predefined policies and machine learning.
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Continuously learn normal agent behavior and flag or stop severe anomalies.
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Intervene when agents attempt unexpected actions.
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Notify owners with context-rich guidance when intervention occurs.
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Maintain visibility into runtime actions, decisions, and enforcement outcomes.
Remediation Without Roadblocks
Security teams shouldn’t become the bottleneck. Nokod turns findings into clear, actionable fixes that go directly to the people who own the automation.
