AISLE Snapshot brings AI vulnerability scanning on premises


TL;DR

AISLE launched Snapshot, an on-premises AI vulnerability scanner for regulated enterprises. The company has found 225+ CVEs including every OpenSSL zero-day in January 2026, and claims 10x cost efficiency versus Anthropic’s Mythos.

AISLE, the cybersecurity startup founded by former Avast CEO Ondrej Vlcek, launched Snapshot on Tuesday, a product that deploys its AI vulnerability scanner inside a customer’s private cloud, on-premises data centre, or fully air-gapped environment. Source code and security data never leave the organisation’s control.

The product is aimed squarely at regulated industries, banks, defence contractors, and government agencies, that face strict data sovereignty and compliance requirements preventing them from sending code to external scanning services. Reported CVEs are up sharply in 2026, with NIST struggling to keep pace with submissions, and Anthropic’s Mythos model has demonstrated that AI can find exploitable zero-days faster than human security teams.

What AISLE has found so far

AISLE has discovered and responsibly disclosed more than 225 CVEs across widely used open-source projects including OpenSSL, the Linux kernel, cURL, Apache, Mozilla, Redis, and Elastic. Its most striking result came in January 2026, when AISLE’s system found all 12 vulnerabilities in the coordinated OpenSSL release, including bugs that had persisted in the codebase for decades.

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The cURL project adopted AISLE after its AI agents discovered five CVEs and contributed 24 pull requests. AISLE ranks first in three categories on the UC Berkeley vulnerability-detection benchmark: CVE volume, CWE breadth, and MITRE Top-25 reach, ahead of Google and Anthropic.

How Snapshot works

Snapshot combines AI-based static code analysis with AI-guided fuzzing to find vulnerabilities, then triages and prioritises findings by business impact. The company claims a false positive rate under 5% and says it can map an organisation’s full exposure within days.

Rather than defaulting to frontier-scale models for every task, AISLE matches the right model to the right task, using its own optimised cybersecurity LLMs or a customer’s existing models. The company claims this approach delivers vulnerability discovery at approximately 10 times greater cost efficiency than frontier models such as Anthropic’s Mythos.

The Mythos context

Anthropic’s Mythos Preview, announced in April 2026, demonstrated that AI models can now identify and exploit zero-day vulnerabilities across every major operating system and web browser. The model found over 10,000 zero-days in its first month inside Project Glasswing, Anthropic’s controlled-access programme for roughly 40 technology companies.

Mythos is not generally available, and its restricted access has created a gap: the organisations most urgently needing the capability, particularly in Europe, cannot get it. AISLE’s pitch is that Snapshot fills that gap with a deployable product that runs wherever the customer needs it.

The team

Vlcek spent more than two decades at Avast, rising from intern to CEO before serving as president of Gen Digital after the NortonLifeLock merger. Chief operating officer Jaya Baloo, named among the world’s top 100 CISOs, previously held senior roles at Rapid7, Avast, and KPN Telecom. AISLE emerged from stealth in October 2025 and says its founding team includes veterans of Anthropic, Avast, and Rapid7.

The company has not disclosed its funding or valuation.

The flags

The 10x cost efficiency claim against Anthropic’s Mythos and the sub-5% false positive rate are company figures that have not been independently verified. Mythos is not a commercially available product, making direct cost comparisons difficult to evaluate.

The UC Berkeley benchmark confirms AISLE’s leading position in CVE discovery volume, but vulnerability detection benchmarks measure quantity and breadth of findings, not the severity or real-world exploitability of the bugs found. Whether on-premises deployment introduces latency or detection gaps compared with AISLE’s cloud offering is not addressed in the announcement.



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The perfect robot mower for you is not nearly as fancy and feature-heavy as you may think. I’ve said it before, and I’ll say it again: it’s not the lawn mower, it’s all about the yard. A robot mower may be a market leader with top-of-the-line specs and still not be a good fit for your yard.

Here’s the great news: There’s a perfect robot mower for almost any yard. As someone who’s tested numerous types of robot lawn mowers, I’ve learned that many of the specs that brands market as groundbreaking are simply not vital for most shoppers. A mostly flat, fenced-in 0.10-acre yard doesn’t need the power that a hilly, sectioned, unfenced one-acre yard does.

Also: I tested the Ferrari of robot mowers for a month – here’s my verdict

If you’re looking to choose the best mower for your home, be sure to check out ZDNET’s robot mower buying guide

Here’s what you don’t need to stress over when buying a robot mower

Eufy E15 Robot Mower

Maria Diaz/ZDNET
For yards with… Best robot mower type Examples
No fences A wired boundary is best, but a great GPS/RTK robot mower can stick to the map you make with it. Yardcare E400, Mammotion Luba 3
Fences A LiDAR robot mower that can be dropped to mow with little setup and learn its map as it navigates. Eufy E15, Ecovacs Goat A3000
A lot of trees A LiDAR or wired boundary mower, since trees can interfere with satellite signals. Husqvarna iQ series (optional wire, EPOS)
Unbordered garden beds A GPS/RTK robot mower that you can set up to avoid flower beds when mapping. Mammotion Luba 3, Husqvarna iQ Series
Bordered garden beds A LiDAR, GPS, or wired boundary robot mower works for these yards. If you choose a wired boundary, you may have to bury wire around the flower beds, unless the borders are tall enough for the mower to avoid. Mammotion Yuka, Navimow Series H
pets A LiDAR robot mower that can adjust its navigation in real-time in reaction to its surroundings. Mova LiDAX Ultra 2000, Segway Navimow i2
Hills and uneven terrain An AWD robot mower capable of handling steep slopes, regardless of the navigation type. Mammotion Luba 3, , Husqvarna iQ

1. Don’t focus on: ‘AI-powered’ or other marketing buzzwords

Segway Navimow X3 Series robot mower

Maria Diaz/ZDNET

Artificial intelligence (AI) has surpassed the popularity of acid-wash jeans in the 80s and Baby G watches in the early 2000s. And tech companies — including robot lawn mower manufacturers — are capitalizing on its appeal.

Most of these “AI-powered” or “intelligent mowing” terms are vague, geared to grab shoppers’ attention with buzzwords. That doesn’t mean that the robots don’t use AI to navigate, however. 

The key is to find out how the robot uses AI to its benefit, and whether that will meet your AI expectations. 

Also: This robot mower took care of my lawn for months – and it’s currently $300 off

AI algorithms typically process data captured by the robot’s hardware to help it make quick decisions and adjustments. For example, a robot lawn mower may have a set of sensors and cameras to capture its surroundings. The robot’s processor then uses AI to convert that information into actionable data, so it knows whether to swerve to avoid an obstacle or slow down around a retaining wall.

Instead, look for: The navigation tech under (and on) the hood

Instead of AI and other buzzwords, you should focus on matching the robot lawn mower’s hardware and navigation system to your yard. This includes whether the robot uses RTK (Real-Time Kinematic) for positioning, and whether it features LiDAR, cameras, and sensors. 

Then look at real user reviews to assess how accurately the robot mower maps and how well it performs around various types of obstacles.

There’s no blanket rule for robot mowers, but most do well with the following guidelines.

2. Don’t focus on: Premium extras

Yardcare E400 robot lawn mower

Maria Diaz/ZDNET

Skip the premium extras that don’t match your yard. You really don’t need the most advanced robot mower; you need the one that will best handle your lawn. 

Most US homeowners have mostly flat lawns, simple rectangular layouts, minimal obstacles, and small yards. Yet some of the most popular mowers advertise features that don’t match this, and you don’t want to spend an extra few hundred dollars on advanced features that won’t deliver a noticeable difference in your yard.

Instead, look for: Only as much as you need

Do you have a mostly flat lawn with no fences and need a robot that can navigate to several sections separated by paths? Then you can skip AWD models and commit to superior mapping and navigation features, like multi-zone intelligence.

Also: I let a modular yard care robot mow my lawn – here’s my verdict after a month

Similarly, if you have a yard with dense trees covering most of it, it’s safe to skip the RTK models and go for LiDAR or boundary wire options instead. 

3. Don’t focus on: Flashy app features

Mammotion Luba 2 robot mower path

The path lines created by the Mammotion Luba 2, as captured by our Bink Outdoor camera, is one flashy app feature I can’t quit.

Maria Diaz/ZDNET

Any dependable robot lawn mower requires an equally reliable mobile app to let you use it effectively. However, manufacturers market many flashy app features that end up being unnecessary for many users. 

Don’t make app features the deciding factor unless it’s something you genuinely care about. Many users don’t rely on voice control to run their mowers and don’t mind using a separate app for their robot rather than integrating it into an existing home automation system.

Also: I let a smart planter maintain itself for 2 months – here’s the result

A robot lawn mower with mediocre navigation and cutting performance can still have a flashy app — all while leaving behind missed patches or taking longer to finish mowing.

Instead, look for: The features you’ll actually use

Most robot mower users keep them running on a schedule to get the lawn-cutting chore off their minds. The majority of the most popular models offer basic features beyond scheduling, such as remote start and stop, basic mapping, automatic rain delay, and theft protection. 

It’s easy to find robot lawn mowers with these features, but if you’re looking for anything beyond that, just be sure that the feature is worth it, especially if you’re paying extra for that model.

Also: I’ve tested robot mowers for years – here’s my expert advice for every yard type

An example of a flashy app feature that is completely unnecessary, but I love having? The Mammotion’s pattern cutting. I can select the cutting pattern I want on the Mammotion app, whether I want lines or checkered, but I can also have the robot cut in custom patterns, like letters and numbers. I don’t care for mowed letters in my yard, but I like that it always has that freshly mowed checkered patterned with no effort from me. 

4. Don’t focus on: Cutting system extras

Segway Navimow X3 Series robot mower

Maria Diaz/ZDNET

The cutting width and system specs are important, as they can determine whether a robot can cover a given area in a day. However, most robot mowers use similar multiple-blade mulching systems. 

Unlike traditional lawn mowers with large blades for aggressive cutting in a single pass, robot mowers typically feature a set of small blades that constantly spin. Because of this, robot mowers trim smaller amounts of grass with each pass than a traditional mower, but they also cut more frequently and leave behind smaller grass clippings that decompose naturally.

Also: I powered my 3,000-sq-ft home with an EcoFlow battery in a blackout – here’s how it kept my AC on

Because the robot mowers have a smaller, compounding cutting system, the real-world differences between the cutting systems from one brand to another are often smaller than you’d expect. Other issues, like poor navigation, will be glaringly obvious before small differences in blade design.

Instead, look for: Cutting width and yard size

The average US yard would benefit more from navigation quality, consistency, and connectivity than blade design. Instead, you should focus on matching the mower to your yard size.

The robot’s capacity is measured in how many acres it can cover in a day. Among other features, this is calculated based on your robot’s battery size and cutting width. Essentially, most users want a robot that can mow an entire yard in a day, so you can set it and forget it and always come home to a mowed yard. You get this by getting the appropriate robot for your yard size.





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