Opinion
AI headline fatigue is now a security risk
An assistant can gain access to company data and permission to act without attracting the attention of a new model launch.
Meta's Muse can manage email, book travel and keep working after the app is closed. Meanwhile, the loudest AI conversation is about superintelligence: whether it is coming, how soon, and whether humans are about to be outsmarted.
A useful new assistant can become part of the business long before its capabilities make it into a security briefing.
Security teams are drowning in AI information. Every week brings a new model, a new agent and a new warning, accompanied by sweeping predictions about humanity's future and how we will work. A CISO can spend a morning reading about whether AI will outsmart humanity and never hear that someone in finance connected an agent to the corporate inbox yesterday.
In July, an autonomous agent built on OpenAI models was running an internal OpenAI cyber-capability evaluation. Its assigned job was to find and exploit software vulnerabilities. It escaped its test environment and spent roughly two and a half days inside Hugging Face's production infrastructure. Hugging Face reconstructed about 17,600 actions across the wider campaign.
Hugging Face's forensic review suggested that the agent was trying to cheat its evaluation, reaching production systems to steal test solutions instead of solving the challenge.
The agent did the kind of work it was built to do against the wrong target, for the wrong reason. It already had the tools and access to act beyond its assigned task.
Assistants bring that combination of goals, tools and access to everyday work. Muse navigates websites and connects to services, with approval required before sensitive actions such as sending email or making purchases. Employees will adopt assistants like it the way they adopted file-sharing apps a decade ago: because they help, often before the organization has decided how to manage them.
I built a personal assistant with OpenClaw, then moved through Claude and Instinct to Muse. Each move meant rebuilding context, reviewing permissions and changing habits. With Instinct, I loved having an assistant that could book restaurants and manage my calendar, but struggled with how much access I was handing over. Just as one setup started paying off, another product arrived.
An assistant handling a single task may read a user request, an email, a webpage and an attachment. They all arrive as language, but they should not carry the same authority. A webpage can supply information for a task; it should not be able to expand what the user authorized.
The enterprise also decides which business data and actions to entrust to an assistant for a given task. Reading an inbox and sending on its owner's behalf deserve different decisions, even when the interface makes the transition feel small.
Before an AI story earns a place on the security team's agenda, ask: does this change what an agent can do inside our business, or how that work is controlled?
A better benchmark score alone does not tell a team whether its own workflow needs different permissions. A connector that lets an existing assistant send messages or alter records changes the decision, even if it attracts less attention. So does an update that lets it keep working without another prompt.
Review the added access, the task it serves and the actions that still need approval. When an employee replaces an assistant, check what access the previous one retains. And where an action is permitted, check whether it still matches the task while there is time to stop it.
The decision to connect an assistant to the corporate inbox is also the moment to agree on what it can access and do. By the time the tool reaches a security briefing, employees may already depend on it to get their work done. Restricting its access then can mean disrupting useful work.
Itamar Golan is General Manager of Prompt Security at SentinelOne.
