Put three endpoint security shortlists in front of a CISO and they’ll look nearly identical. Each vendor has an industry certification. Each has an analyst report that places them favorably, in one category or another. Most now carry a headline breach warranty worth a million dollars or more. On paper, the decision looks like a coin flip between three well-credentialed options.

In production, the outcomes for those same three vendors are nowhere close to identical. Some environments get breached; others don’t. Some security teams spend their week responding to real incidents; others spend it drowning in false positives generated by a tool nobody fully deployed. The credentials on the shortlist didn’t predict any of that, because none of them were built to.

Quick answer: Most of what differentiates cybersecurity vendors in a sales cycle (certifications, breach warranties, “AI-powered” branding, feature-checklist comparisons) is a proxy for the two things that actually determine whether an organization gets breached and what it costs to prevent: efficacy (does the platform detect and stop real attacks, across the ways attacks actually happen) and efficiency (what does it cost, in dollars and in people’s time, to get and keep that efficacy running). Buyers who evaluate the proxies instead of the two underlying numbers routinely end up with expensive coverage that isn’t fully deployed, isn’t fully integrated, and isn’t answering the question they thought they were paying to answer.

Key takeaways:

• Certifications, breach warranties, analyst placements, “AI-powered” labels, and feature checklists are proxies: easy to compare, but weak predictors of real-world protection.
• Only two numbers should decide a security purchase: efficacy (does it stop real attacks?) and efficiency (what does it truly cost to keep it working?).
• Organizations lose roughly 28% of security software spend to tools that are underused or unused; in some, up to 60% sits completely dark.
• 73% of organizations now name false positives their number one detection challenge, according to the 2025 SANS Detection and Response Survey.
• Breach warranty headlines are real, but per-endpoint payout caps, exclusions, and configuration conditions mean the headline figure rarely applies.

The two numbers that actually decide a security outcome

Before looking at the theater, it helps to define what it’s standing in for.

Every other signal on a shortlist is, at best, an indirect hint about one of these two columns.

The headline that’s designed to be the whole pitch

Breach warranties are a useful example of this pattern because they’re so literal about it. Since 2019, vendors have escalated the size of the check they’ll write if their product fails: one endpoint security vendor started at $1 million, a close competitor matched it and later extended coverage to $2 million for customers running identity threat protection alongside EDR, and others in the managed-detection space have since pushed the headline figure to $3 million. Read the actual terms, though, and the picture narrows fast: payouts calculated per affected endpoint (commonly $1,000–$2,000 each, meaning the headline figure requires hundreds or thousands of machines compromised at once), exclusions for the costs that matter most (business downtime, lost revenue, brand damage), and voided coverage if a required setting was misconfigured or a patch reboot was pending at the moment of the incident. The number in the headline is real. It’s also almost never the number that ends up relevant to the buyer who repeated it in a board deck.

Warranties aren’t unique in this respect. They’re just the cleanest illustration, because the gap between headline and fine print is unusually easy to quantify. The same basic pattern shows up throughout how cybersecurity gets marketed and bought.

The rest of the theater

Independent test badges get earned against a specific test methodology, in a specific lab configuration, against a specific malware corpus, and then get printed on a slide as if they describe how the product performs against your attackers, in your environment, using your configuration. Analyst placements measure a vendor’s completeness of vision and market execution: legitimate things to know, and largely orthogonal to whether the product will catch the identity-based attack that gets an organization breached next quarter. “AI-powered” has become close to meaningless as a differentiator, applied equally to platforms doing genuine real-time behavioral correlation and to a rules engine with a chatbot bolted onto the alert queue. Feature-checklist comparisons (the ubiquitous “we have this, do you?” matrix) reward whichever vendor’s marketing team was most thorough about listing capabilities, regardless of how well any one of those capabilities actually performs once it’s running against a live adversary.

None of these signals are dishonest, exactly. They’re just answering questions that are easier to answer than “will this stop the attack, and what will it cost to make sure it does.” Buyers gravitate toward them because they’re comparable across a shortlist in an afternoon, where efficacy and efficiency require the harder work of testing against real attack techniques and pricing out the full cost of getting to production.

What buying the proxy actually costs

The clearest evidence that this substitution happens at scale, and that it’s expensive, comes from how much purchased security capability simply never gets used. Research on enterprise security spending has found that organizations lose roughly 28% of their security software spend to tools that are underutilized or not used at all, and in some organizations, as much as 60% of purchased security software goes completely unused. The most commonly cited reasons aren’t that the tools don’t work: more than a third of respondents said their IT teams were too busy to properly implement what they’d bought, another third cited insufficient resources, and close to a fifth said the tool was poorly understood by the people who were supposed to run it. A security leader who bought thoroughly credentialed, feature-complete, warranty-backed software still ends up with a shelf of capability that was never operationalized, because the purchase decision optimized for the credentials, not for the realistic cost and effort of getting to real efficacy in that specific environment.

The downstream effects compound from there. The 2025 SANS Detection and Response Survey found 73% of organizations now name false positives their number one detection challenge, with the share reporting “very frequent” false positives nearly doubling year over year. Separate research on security tool sprawl found burnout rising sharply with tool count: teams running sixteen or more security tools reported roughly 50% higher burnout than teams running five or fewer, and 44% of security engineers said they now spend more than half their time on maintenance rather than security work. None of that shows up on a certification badge or a warranty document. All of it shows up in whether a real attack gets caught.

The cost of buying the proxy, by the numbers:

The reframe this series argues for: stop asking a vendor what they’re willing to guarantee, what awards they’ve won, or how many boxes they check, and start asking two questions instead: how well does this actually detect and stop the attacks that get organizations breached, and what does it truly cost, end to end, to get and keep that working. Everything else is a proxy standing in for an answer nobody asked for directly.

Where this series goes next

None of this is an argument that certifications, analyst research, or vendor warranties are worthless. They’re legitimate inputs, and ignoring them entirely would be its own mistake. The argument is about what they can and can’t tell you, and about what happens when they become the whole evaluation instead of one input into it.

In Part 2 of this series, we look at the mechanism that turns a single “unified platform” pitch into five, eight, or ten separately licensed products by the time a security program is actually built out, and why that fragmentation is one of the biggest hidden drivers of both weak efficacy and poor efficiency.

And in Part 3, we lay out a concrete framework for evaluating efficacy and efficiency directly, with the specific questions worth asking any vendor before the SKU count and the total cost of ownership become a surprise, and look at how the Seceon Open Threat Management (OTM) Platform is designed around those two questions.