The AI Red Team Is Coming — Are You Ready?  

Anthropic recently made headlines not for releasing a new model, but for what it did before release. The company gave a select group of organizations early access to its upcoming Claude model so they could identify and fix security vulnerabilities before the model became widely available.

It is a responsible move. A thoughtful one. A rare good-guy moment in an industry that often moves first and cleans up later.

But there is an uncomfortable truth underneath that headline. The same capabilities Anthropic is using to probe security posture are the kinds of capabilities threat actors are already working to replicate. And they will not send a warning first.

The good news: you still have a window

Anthropic’s pre-release security access program is, in effect, a gift. It creates a structured opportunity for organizations to see where defenses hold up under AI-assisted scrutiny and where they do not.

Companies that use this time well will come out stronger. They will patch vulnerabilities, tighten configurations, and stress-test assumptions before the real pressure arrives.

That window is finite. The same attributes that make AI valuable for defenders make it valuable for attackers. The gap between state-sponsored threat actors and commodity cybercriminals is already narrowing. AI will compress it faster.

What attackers are already doing

You do not need a frontier model to run an effective AI-assisted attack. Threat actors are already using purpose-built tools, some crude and some increasingly capable, to automate reconnaissance, scale phishing, and probe for misconfigured access controls across large environments.

The tools will improve. The targets will not change.

The AI data governance problem no one is talking about

Here is the scenario that should give security leaders pause. A company rolls out a new AI productivity tool across the business. Adoption spikes. Employees love it. The assistant now has access to contracts, HR documents, customer data, internal roadmaps, and other sensitive knowledge because it was designed to be helpful and fast.

If data governance was not addressed before that rollout, the organization did not just enable productivity. It created a highly capable, well-indexed exfiltration target.

Attackers do not need to be subtle about this. If they compromise the identity layer, a credential, a session token, or an OAuth grant, they can inherit whatever access the AI system already has. In organizations with immature governance, that access is often far broader than leadership realizes.

What good security posture actually looks like right now

It is not one control. It is not one product. Good security posture today is layered. It brings identity, access, third-party governance, and data discipline together as one operating model rather than a set of disconnected checkboxes.

That matters because AI risk does not stay confined to a single failure point. The consequences spread quickly across the business.

That same need for layered discipline came through clearly in our recent Leadership Forum discussion on AI readiness, governance, and shadow AI. The organizations making progress are the ones treating AI risk as a business-wide governance issue, not just a tooling issue.

That layered thinking is what separates organizations that adapt from those that get caught flat-footed. The companies asking hard questions now about MFA coverage, privileged access, SaaS sprawl, data classification, and AI entitlements are improving the odds in their favor.

Every hardened layer matters because attackers are always playing a probability game.

Anthropic’s program offers a preview of what AI-assisted security scrutiny can look like. The full picture, from how users authenticate every morning to how an AI assistant is authorized to access CRM records or shared internal documents, requires a comprehensive and honest assessment.

If you are not sure where to begin, our AI self assessment is a practical starting point for identifying gaps and pressure-testing assumptions before they become incidents.

The window is open. The question is whether you will use it.