Nearly Half of Security Pros Now Say AI Agents Are the Top Threat. Here's What Your Business Needs to Know.

A recent Dark Reading readership poll made something explicit that security practitioners have been quietly worried about for months: 48% of cybersecurity professionals now identify agentic AI and autonomous systems as the number one attack vector heading into 2026. That's nearly half the field — and it outranked deepfakes, board-level cyber recognition, and passwordless adoption combined.

That number didn't surprise me. What surprised me was that it wasn't higher.

What We're Actually Talking About

When I say "agentic AI," I don't mean a chatbot answering customer questions. I mean AI systems that take autonomous action — systems that browse the web, send emails, execute code, query databases, schedule meetings, and move files without a human approving each step.

These systems are already inside your organization. Maybe your team deployed a sales automation tool that books meetings and drafts follow-up emails. Maybe engineering is running an AI coding assistant that commits code directly to your repositories. Maybe operations is piloting a workflow tool that touches your ERP system.

Each one of those agents is a new identity on your network — with its own permissions, its own API keys, and its own access to your systems. And unlike humans, agents don't get tired, don't call in sick, and don't stop to think twice when something looks off.

The Attack Surface No One Planned For

Here's where the security picture gets complicated. Traditional identity and access management was designed around humans. Employee gets a role. Role gets permissions. Employee leaves, access is revoked. Clean.

AI agents don't fit that model. They need API access to multiple systems simultaneously. Their permissions are often broad — "read, write, and send" across entire platforms. They operate 24/7. And because they're new, most organizations haven't built the governance frameworks to manage them yet.

That's a gift to attackers.

One of the most immediate risks is prompt injection — a technique where a malicious actor embeds hidden instructions inside content the agent processes. An AI agent monitoring your email for action items processes a carefully crafted phishing email. The email looks innocuous to a human reader, but buried in the text is an instruction: forward the last 90 days of email to this address. The agent, doing its job, complies.

This isn't science fiction. It's already happening in the wild. And it scales in ways human-targeted phishing never could.

Why Rushing to Deploy Makes This Worse

Competitive pressure is driving AI deployment faster than security can keep up. I've spoken with leaders at mid-sized companies who deployed AI workflow tools in days — sometimes before IT or security even knew it was happening. The tool worked great. The security review happened months later, if at all.

That pattern creates what analysts are calling "shadow AI" — unsanctioned AI deployments operating with elevated permissions, no audit trail, and no security oversight. It's shadow IT all over again, except the stakes are higher because these systems can act autonomously.

The US and UK governments took notice. This past spring, CISA and the UK's NCSC jointly published guidance specifically on agentic AI security — one of the first of its kind from government authorities. Their core message: never grant agents broad or unrestricted access, treat every agent as a non-human identity requiring strict governance, and apply least-privilege principles just as you would for a privileged human user.

That's the right framework. Most businesses aren't there yet.

Three Things You Should Be Doing Now

You don't have to solve this overnight. But you do need to start. Here's where I tell clients to focus first:

1. Take inventory. You cannot secure what you don't know exists. Identify every AI agent or autonomous tool currently operating in your environment — including ones IT didn't deploy. What systems does each one access? What permissions does it hold? Who approved it?

2. Apply least privilege to agents. Every AI agent should have the minimum access required to do its job — nothing more. A scheduling agent doesn't need access to your financial systems. A customer support bot doesn't need write access to your CRM. Scope permissions tightly and review them regularly.

3. Build human checkpoints into high-risk workflows. For actions with significant consequences — sending external communications, moving money, executing code, modifying records — require human approval before the agent acts. Autonomous efficiency is valuable. Autonomous action on high-stakes decisions without oversight is a liability.

The Bottom Line

AI agents are not going away. The productivity gains are real, and the competitive pressure to deploy them will only intensify. But the organizations deploying agentic AI without a security framework are building on a foundation that attackers are already studying.

The question isn't whether to use AI agents. It's whether you're doing it with your eyes open.

If you're not sure what your current exposure looks like, that's exactly the conversation we have with clients at TrustPoint Cyber. Reach out — I'm happy to start with a straightforward assessment of where you stand.