AI security
Two years ago this category did not exist. Buyers are still deciding what the problem is, which means anyone selling into it is negotiating the definition at the same time as the deal.
What is different about AI security as a market?
The buyer is evaluating a category still being defined, so the evaluation includes agreeing on what the problem is. That makes category and proof work inseparable from demand work, and it puts the burden of evidence higher than in established security markets.
In AI security the buyer is deciding what the problem is at the same time as deciding what to buy. That changes the job on both sides of the table.
The decision underneath the purchase
What the organization is allowed to run, and who signs for it.
The technology question follows the authorization question. Once an agent can reach a production system, the decision belongs to whoever carries the risk.
Leaders decide; providers have to fit
The leader decides what is permitted. A provider has to fit inside that decision.
- Providers need to name the operational decision the buyer owns today, and supply evidence a security review accepts.
- Leaders need a defensible position on what is permitted, and artifacts they can circulate to build consensus.
Reference material outperforms thought leadership for both, because both are assembling an internal argument.
Name the decision they own
Name the decision.
Expect 3 gatekeepers: the mandate holder building consensus, legal or privacy with veto power over contract terms, and a future auditor. Make each one easy — pre-written answers, clear data handling, plain contract language. See AI security riders.
Write down what is allowed
The useful artifact is a written position on what is allowed, at what autonomy, with a named owner.
- Separate recommendation from execution; they need different approval classes.
- Tie autonomy to reversibility rather than model quality.
- Reference frameworks you already report against, such as the NIST AI RMF or the EU AI Act.
- Write the plain-language version people can actually follow.
Fear stopped working
Leading with fear. This buyer already believes the risk is real; what they lack is a defensible basis for a decision. See AI crossed the boundary.
What people ask
Who buys AI security?
Leaders who own the objective, and the providers who support them. Vendors selling into the space, and internal teams deciding what their organization is permitted to run and who signs for it.
What content works for this buyer?
Reference material with citations: decision guides, policy templates, contract language. The buyer is building an internal case and needs artifacts.
Who can stop an AI security purchase?
Often legal or privacy, over contract terms rather than capability. The mandate holder builds consensus; the blocker has veto.
How should autonomy be governed?
Tie it to reversibility. An action that cannot be undone needs a different approval class than a draft or a recommendation.
Related: AI governance, GRC and compliance and go-to-market strategy.