Shadow AI agents are becoming increasingly prevalent in organizations, often without the knowledge or approval of IT or security teams. These agents can be created in minutes, connected to sensitive systems, and changed daily, making it challenging for teams to maintain visibility and control.
Understanding Shadow AI Agents
Shadow AI agents are different from shadow AI apps, as they hold persistent permissions, connect to corporate apps and data, and take action on their own without waiting for someone to hit send. When an unmanaged agent goes wrong, the result can be catastrophic, with 80% of organizations already encountering agentic AI risks.
Risk of Shadow AI Agents
The numbers back up the risk of shadow AI agents, with 48% of cybersecurity professionals ranking agentic AI as the most dangerous attack vector of 2026, according to Dark Reading. Furthermore, only 21% of IT leaders say they have a mature agentic AI governance program in place, according to Deloitte.
This gap between exposure and readiness is where shadow AI agents live, and it's essential for organizations to have a discovery strategy in place to identify and secure these agents. Nudge Security provides an immediate inventory of AI agents across the most popular agentic platforms, including Microsoft Copilot, Google Gemini, and ChatGPT.
Discovery Methods
Most AI agent discovery methods have the same blind spot: they only see what agentic platform vendors choose to expose through a public API. Nudge Security closes this gap with two complementary discovery methods: API-based discovery and browser-based discovery.
API-based discovery connects to platforms that expose agent data, such as Salesforce Agentforce and Microsoft Copilot Studio, and continuously pulls agent name, creator, creation date, status, configuration, and risk insights. Browser-based discovery, through the Nudge Security browser extension, covers platforms that don't expose an API, such as Cursor automations and OpenAI Agent Workflows.
Why Browser-Based Discovery Matters
The agents built on platforms without APIs aren't a minor edge case; they're often where the real shadow AI lives. These are the fast, low-friction tools that engineers, ops teams, and product managers love, precisely because nobody has to ask IT for permission to use them. However, this also means they tend to carry the broadest access and the least oversight.
An agent built in an afternoon to save someone twenty minutes can end up with standing access to a CRM, a code repository, or a shared drive, and no one outside the person who built it knows it's there. Nudge Security automatically surfaces these agentic AI risks, including publicly accessible agents, agents with excessive permissions, and hardcoded credentials or PII sitting in agent instructions.
Governance and Risk Management
Once an agent is in the inventory, Nudge Security allows teams to set an approval status, assign an owner, and nudge the owner directly to confirm intent, justify access, or fix a risky configuration. This proactive AI governance approach doesn't require teams to play whack-a-mole with every new agent that pops up, and it doesn't ask the workforce to slow down to get security's blessing before they build something useful.
Nudge Security provides Day One AI agent discovery with risk context and governance workflows across the agentic platforms employees are actually using. With this approach, organizations can ensure that when employees build agents, someone knows it happened, knows what the agent can touch, and can act fast if something looks wrong.
Source: BleepingComputer