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Guide · AI search

How do cloud security vendors get onto enterprise shortlists when buyers ask AI first?

By making it easy for an AI answer, and the buyer who checks it, to place you in the right category with verifiable proof. Cloud security is the fastest-growing part of the security market, and buyers are consolidating onto fewer platforms. That makes each AI-assisted shortlist worth more and harder to rejoin once it is set.

By Underneath Team Guide Updated

The short version

  1. Cloud security is the fastest-growing slice of security spending: Gartner forecasts it at 28.8% growth in 2026, from $13.0 billion in 2025 to $17.1 billion, with posture management alone growing 33.4%, according to an analysis of the forecast by Louis Columbus (opens in a new tab).
  2. Buyers are moving to platforms: in Fortinet’s 2025 State of Cloud Security Report (opens in a new tab), 67% were implementing posture management, 62% were adopting cloud-native application protection platforms (CNAPP), and 97% preferred one unified platform.
  3. A large share of cloud software is now bought through the cloud providers’ own stores: Canalys (opens in a new tab) projects marketplace sales of $85 billion by 2028, up from $16 billion in 2023.
  4. Google search already answers this category with AI: in our study of 1,248 searches, 96.0% of B2B software and technology keywords showed an AI Overview, the highest of eight industries.
  5. Category leadership is valued at a premium: Google closed its $32 billion purchase of Wiz (opens in a new tab) in March 2026, about two years after Wiz reported $500 million in annual recurring revenue (opens in a new tab).

Who signs for cloud security, and how much is a won account worth?

A CISO signs, but cloud platform, DevOps and compliance teams shape the choice; won accounts expand for years.

Cloud security covers several product types that buyers increasingly see as one decision: posture management (CSPM), which finds misconfigurations; workload protection (CWPP), which protects running servers, containers and serverless code; cloud access security brokers (CASB); and CNAPP, the platforms that bundle them. Gartner’s 1Q26 forecast, as summarized by Columbus, puts workload protection at $6.0 billion in 2025 and posture management at $4.7 billion, the two largest cloud categories.

The buyer’s environment explains why the evaluation is technical and crowded with stakeholders. In the Fortinet survey, produced by Cybersecurity Insiders:

  • over 78% used two or more cloud providers, and 54% ran hybrid models that mix on-premises and public cloud;
  • 61% named security and compliance as the main barrier to cloud adoption;
  • 76% reported a shortage of cloud security expertise;
  • 64% lacked confidence in their ability to handle real-time threat detection.

So the buyer is short of people, running several clouds, and answerable to auditors. Those constraints become the questions they ask: which tool covers AWS, Azure and Google Cloud equally, which needs no agents, which maps findings to the frameworks their auditors use.

The stakes for the buyer are concrete. IBM’s Cost of a Data Breach Report 2025 found that 30% of breaches involved data spread across multiple environments, which cost an average of $5.05 million and took 276 days to identify and contain, the longest of any storage location.

For the vendor, a won customer is a platform relationship. Consolidation means one contract can grow from posture management into workload, identity and data modules. The market has priced that potential highly: Wiz said it had reached $500 million in annual recurring revenue in October 2024, and Google paid $32 billion for the company, a deal that closed on March 11, 2026.

Where does AI search already sit in a cloud security evaluation?

Early, at research and shortlisting, though no public study isolates cloud security buyers.

The nearest data comes from technology buyers as a whole. TrustRadius’s 2026 B2B Buying Disconnect Report (opens in a new tab), a survey of nearly 2,500 technology buyers and vendors, found:

  • 63% of buyers used AI during their purchase journey;
  • 94% of those buyers fact-checked its answers at least some of the time;
  • 83% shortlisted three or fewer products;
  • 74% used reviews to inform their decision, while analyst reports were used by only 13%.

Short shortlists are the key number for cloud security vendors. If an AI answer helps decide which three platforms get a proof of value, a fourth vendor may never be tested. TrustRadius earns money selling review visibility to software vendors, so weigh its figures with that in mind.

Google’s results point the same way. In our study of when Google shows an AI Overview, B2B software and technology keywords had the highest rate of the eight industries we tested: 96.0% as observed and 83.0% after adjusting for the kind of searches each industry had. Longer, more specific wording raised the rate for the same topic, from 59.4% as written to 87.5% in a long form. Cloud security questions tend to be long and specific, so we infer that many of them will meet an AI answer before any vendor’s page.

What do cloud architects type into an assistant when weighing CNAPP or CSPM tools?

Questions about category, cloud coverage, deployment, compliance and consolidation. We wrote the example prompts below to reflect a multi-cloud security team’s concerns; none were taken from real buyer sessions.

Buying needIllustrative prompt
Category“Do we need a CSPM tool or a full CNAPP for a 200-account AWS estate?”
Coverage“Which cloud security platforms cover AWS, Azure and Google Cloud with the same depth?”
Deployment“Agentless or agent-based workload protection for Kubernetes: what are the trade-offs?”
Alternatives“What are the alternatives to Wiz now that Google owns it?”
Comparison“Microsoft Defender for Cloud or Palo Alto Networks Cortex Cloud for a mostly Azure company?”
Compliance“Which CNAPP vendors are FedRAMP authorized?”
Buying route“Which cloud security tools can we buy through AWS Marketplace with our committed spend?”

Each of these questions can trigger several searches. Google says that behind AI Overviews and AI Mode it may use a “query fan-out” technique (opens in a new tab), issuing “multiple related searches across subtopics and data sources.” OpenAI says ChatGPT search typically rewrites (opens in a new tab) a question “into one or more targeted queries” sent to search providers. A vendor whose coverage, deployment model and certifications are spelled out on public pages gives those searches something to find, we infer.

How does an AI answer lead to a signed cloud security platform deal?

Through a short path: AI answer, shortlist, proof of value, then a marketplace purchase that expands across clouds and modules.

  1. A cloud architect or security leader asks an assistant a category or comparison question.
  2. The answer names a few platforms and links sources; the buyer checks them, since 94% of AI-using technology buyers fact-check.
  3. Two or three vendors connect to a test cloud account for a proof of value. Agentless products are built to connect quickly, which shortens this step.
  4. The winner is bought, increasingly through a cloud provider’s marketplace.
  5. The contract grows as the customer adds accounts, clouds and modules.

Step 4 is particular to cloud security. Canalys reports that enterprise customers have committed to spend over $360 billion on the top three cloud providers’ services on a multi-year basis, and that buyers are using marketplaces to “burn down a portion of their cloud credits on third-party software.” Canalys names CrowdStrike among the first vendors to publicly claim $1 billion of total sales through marketplaces. For a buyer, a marketplace listing means no new budget line and faster procurement. For a vendor, it shortens the gap between an AI-assisted shortlist and a signed order. The providers themselves compete for those commitments, as our guide to how cloud providers win enterprise deals describes.

Step 5 is why each shortlist matters so much. With 97% of Fortinet’s respondents preferring a unified platform, the first module bought is often the foothold for the rest, we infer.

Why do assistants name some cloud security platforms and skip others?

The platforms don’t say how; studies of brands across assistants point to independent coverage and prominence.

Documented by the platforms. Both Google and OpenAI describe AI answers that look things up on the web and link the pages behind them. Neither says how one posture management or workload protection vendor gets chosen over another.

Observed in studies. In our brand study across four assistants, coverage on independent sites was the strongest predictor we measured: each tenfold increase in the number of independent sites naming a brand went with 4.7 times the odds of being recommended. In a vendor dataset analyzed by Kumar (opens in a new tab), global household-name brands appeared in 73% of unbranded answers on the first day and the least-known tier in 11%. The big-brand head start is examined in do AI assistants favor big brands.

That matters in cloud security, where the largest platform vendors, the cloud providers’ own tools and a few heavily funded specialists dominate coverage. A smaller vendor competes on specifics, not on fame. Endpoint vendors face a similar contest, covered in how EDR vendors win enterprise deals.

Our inference on what a cloud buyer checks. Most of what a multi-cloud security team verifies sits on public pages that an assistant can read as well:

  • which clouds, regions and services are supported, and with what depth;
  • deployment model: agentless scanning, agents, or both;
  • authorizations and attestations such as FedRAMP, SOC 2, ISO 27001 and Cloud Security Alliance STAR entries;
  • marketplace listings and cloud-provider partner designations;
  • original research on cloud attacks and misconfigurations that journalists and practitioners cite;
  • reviews from practitioners who run the product in production.

Vendors that keep these cloud facts public, current and identical across their site, marketplace listings and review profiles plausibly give assistants better material to repeat. That idea has not been tested for cloud security.

What does a cloud security vendor lose when AI answers leave it out?

Mostly platform decisions, which lock in for a contract term; no study has measured the dollar cost.

  • Shortlists are small. With 83% of technology buyers shortlisting three or fewer products, a vendor left out of the first answer competes for one of very few remaining places.
  • Consolidation raises the stakes. When buyers want one platform, losing the first evaluation can mean losing every module that would have followed, until the next renewal, we infer.
  • Marketplace buying speeds up the winner. Committed cloud spend lets the chosen vendor close quickly, which leaves less time for a missing vendor to enter late.
  • Wrong facts are a cost too. If an assistant says your product needs agents when it does not, or omits a cloud you support, buyers may rule you out. Our guide to fixing wrong brand information in AI answers covers what to do.

What does GEO look like for a CNAPP or CSPM vendor?

Publishing your category fit, cloud coverage and compliance proof where assistants can find and repeat it. Nothing guarantees a recommendation.

  1. One clear category statement. Say plainly whether you are a CSPM, CWPP, CNAPP or a point tool, which clouds you cover and for whom. Use the same wording on your site, documentation, marketplace listings, review profiles and analyst briefings.
  2. Public technical facts. Publish supported services, deployment options, data residency and integration details as readable web pages, not only in gated PDFs or behind a demo.
  3. Compliance pages that answer the question. Map controls to the frameworks buyers name, and show authorization status and attestation dates where buyers can verify them.
  4. Marketplace and partner presence. Keep cloud marketplace listings complete and consistent with your site, since buyers use them and assistants may find them.
  5. Independent coverage. Publish original cloud threat research, brief analysts, and earn coverage in security publications. See how brands build authority for AI search and which pages to target.
  6. Honest comparison content. Explain how your approach differs from the cloud providers’ native tools and from larger platforms; our article on whether comparison pages help B2B citations sets expectations.
  7. Measurement across assistants. Put real CSPM, CNAPP and compliance questions to ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Copilot and Claude, repeating each one, and log which platforms are named.

For the wider security picture, including how CISOs judge trust, see our article on cybersecurity software and AI search. Identity vendors have their own guide on how AI answers name identity platforms.

What remains unproven about AI search in cloud security buying?

Nobody has measured how often cloud security buyers consult assistants, or whether AI visibility lifts revenue.

  • Cloud security buyers are not studied on their own. TrustRadius’s figures describe technology buyers as a whole. We found no public, vendor-neutral survey of how cloud security buyers use AI assistants.
  • Survey sponsors have interests. Fortinet sells cloud security products and TrustRadius sells review visibility. The Gartner figures reach us through a secondary analysis, not a Gartner press release.
  • The choice of names is a black box. Only the platforms know how an assistant picks which cloud security vendors to list, and the list shifts between runs and between assistants.
  • Revenue links are unproven. Whether appearing in AI answers changes win rates or deal size has not been measured publicly; see does AI visibility drive business results.

How can a cloud security vendor check whether AI answers put it into proofs of value?

Check how AI answers describe your coverage, deployment and compliance on the questions your buyers ask.

List the category, coverage, comparison, compliance and buying-route questions your buyers ask. Repeat each one in every major assistant, since the named platforms shift from run to run. Record whether you are named, which sources are cited, and whether the facts about your clouds, agents and authorizations are right. Where you go unnamed or described wrongly, the usual cause is a technical detail that is not public, or too little independent coverage.

For a second pair of eyes, ask us to audit your place on cloud security shortlists. We will show which enterprise shortlists AI answers put you on or leave you off, and which gaps most likely cost you proof-of-value invitations and platform deals. The steps that usually follow, such as a clear category statement, public facts on which clouds you cover and consistent marketplace listings, are laid out on our generative engine optimization service page.

Frequently asked questions

Do cloud security buyers really use AI assistants to choose vendors?

Technology buyers do: 63% used AI in their purchase journey in TrustRadius’s 2026 survey. No public study isolates cloud security buyers.

Does a cloud marketplace listing help AI visibility?

Untested. It clearly helps buying: Canalys projects $85 billion of marketplace sales by 2028. A consistent listing also gives assistants one more accurate description, we infer.

Should we write pages comparing ourselves with the cloud providers’ native tools?

Yes, as long as the comparison is fair and names specific differences in coverage and deployment. Buyers often weigh native tools first, and independent sources will still carry more weight than your own page.

Can a smaller cloud security vendor compete with the big platforms in AI answers?

It can, but it starts behind: well-known brands appeared in 73% of unbranded answers in one dataset, the least-known in 11%. Independent coverage is the strongest lever we have measured.

Sources

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