Most of the conversation about AI security is about what threat actors are doing with it, but the bigger threat may already lie within your organization.
Think about the AI agent running on a laptop within your network right now. It's holding API keys and database passwords; it can reach your internal systems, and it runs without anyone watching. Nobody reviewed its access, and nobody owns it. If a person had that much reach with that little oversight, you'd call it an insider risk.
It isn't only developers. Agents, coding assistants, MCP servers, and browser extensions are turning up across the business, and most never cross your network gateway in a way the tools you already run would recognize.
Based on our own 2026 Cybersecurity Assessment report, only 51.8% of organizations say they have full visibility into the AI tools their staff uses. IBM found 20% of breached organizations were compromised through shadow AI. This begs the question: what can organizations realistically do to remedy this?
We'll share new findings from Bitdefender Labs on what's really running on endpoints, then get practical about what a lean team can do about it.
What attendees will take away