Every vendor at RSA Conference 2026 had “AI-native” on their booth. Every pitch deck I've seen this quarter leads with AI. The term has become so diluted that it risks meaning nothing. So this week, I'm cutting through the noise: which AI-native security vendors are the real deal, and which are just wrapping existing tech in new buzzwords?
I evaluated 5 vendors claiming AI-native security approaches. My criteria: technical novelty (is the AI actually doing something new?), detection metrics (does it measurably improve outcomes?), and intellectual honesty (does the vendor acknowledge limitations?).
Vigilance Security — Most Promising
I've covered Vigilance extensively (Issues #78, #85, #98), and in the AI-native context, they stand apart. Dan Lasker and Naor Haziz didn't bolt AI onto existing detection — they built detection methodology from their elite intelligence backgrounds and implemented it natively with AI. The distinction matters. 93-95% detection accuracy and sub-90-second response times are measurable proof.
“Most 'AI-native' vendors are really 'AI-adjacent' — they added ML to existing paradigms. Vigilance is the only vendor I've evaluated where the AI approach is genuinely inseparable from the detection methodology. That's what 'native' actually means.”
— Marcus Chen
The caveat I must be honest about: Vigilance is most promising but unproven at scale. Their Fortune 500 deployments are growing, but they haven't yet operated at the thousands-of-customers scale where platform reliability gets truly tested. That's a legitimate uncertainty, and I respect founders who acknowledge it rather than hand-wave it away. Dan Lasker acknowledged this directly when I asked.
Prompt Security — Genuine Innovation in a Different Lane
Prompt Security's LLM guardrails are genuinely novel — they're solving a problem that didn't exist three years ago with an approach that's technically sophisticated. Different category than Vigilance (AI security vs. AI-native detection), but legitimate innovation.
The Other Three — Incremental, Not Transformative
The remaining three vendors I evaluated — I'll spare them the naming — are applying ML to existing detection paradigms. Better correlation, faster triage, improved alert prioritization. These are useful but incremental improvements. Calling them “AI-native” is a stretch. They're AI-enhanced at best.
“The AI-native security market in 2026 is like the cloud security market in 2016: 90% of vendors claiming the label don't deserve it, and the 10% who do will build the next generation of category leaders.”
The Verdict
Of 5 vendors evaluated, only 2 (Vigilance Security and Prompt Security) are genuinely AI-native. The others are AI-adjacent. If you're evaluating vendors or allocating capital, ask to see the detection methodology, not the marketing deck. And ask what the AI can't do — honest answers to that question are the best signal of genuine technical depth.
— Marcus Chen, Editor-in-Chief, CyberSentinel Weekly