Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A SOC analyst spots suspicious activity from an internal IP. They need to understand what is happening. They open their SIEM's built-in AI assistant and type: "Tell me about 192.168.0.10." The assistant checks the entity store. Nothing. The analyst rephrases: "This is in our environment. Can you please check the logs and walk me through what's going on with this device?" A moment later, the assistant returns a summary. The host is involved in Windows file sharing and remote administration.

There is a difference between watching data go into an AI tool and knowing what is inside it. Most security tools do the first. Few do the second. Employees now keep contracts, source code, and customer records inside their AI workspaces, in chats and projects that build up for months. Cyberhaven's integration with Claude's Compliance API brings that content into view for Claude Enterprise, and ties it back to where it came from.

Dario Amodei asking the AI race to slow down is a little rich. He is not wrong. Our AI pioneers were so preoccupied with whether or not they could, they didn’t stop to think if they should. Anthropic helped push the frontier hard, and now its CEO is warning that the pace is getting dangerous. Security people have seen this pattern. Build thing, connect thing, watch it behave in ways nobody quite expected, then go looking for controls.

Every vendor this year says the same thing: AI is transforming cybersecurity. True, and not useful. Here is the useful version. AI is doing two things at once. It is compressing the time between a vulnerability being found and being exploited, which is the part everyone talks about. And it is quietly installing a brand new attack surface inside your clients' businesses, which is the part nobody is selling against yet.

An employee uploads a spreadsheet to find a sales trend. Another pastes a support conversation into a chatbot to draft a reply. Neither intends to expose business information. Even so, both may send sensitive material outside the systems where your business normally controls it. SMB IT decision-makers need to know what employees share and decide which interactions are acceptable, without building a specialist AI security team.

AI agents are already operating across the enterprise. As they become more autonomous in accessing data, using credentials, executing code, and acting across critical systems, the security boundary is changing with them. The question is no longer whether enterprises will adopt agents. It's how they give agents greater autonomy without giving up control.