AI vulnerability management,
entirely on your machine
The Mac-native AI security platform that finds, proves, and prioritizes your real exposures — entirely on your machine, so your data never leaves the box. A local, on-box AI engine, TRIS™ 3 prioritization, and a provable attack ledger, all running local-first on Apple Silicon.
Find · Prove · Prioritize
What is AI vulnerability management?
A definition first, the product second. This is the part you can take into any vendor call, including ours.
AI vulnerability management is the practice of using machine learning to turn raw scanner output into prioritized, explained, and verified remediation work. Traditional vulnerability management stops at a list: tens of thousands of CVSS-scored findings, sorted by a severity label that was never computed for your environment. AI vulnerability management closes the gap between that list and action — correlating findings to the right assets, ranking them by real-world risk, drafting the fix, and helping prove whether an exposure is actually exploitable.
Done well, it answers three questions a scanner never does: what can actually be exploited here, what would it cost us, and did the fix work. CVEasy AI is built to run that whole loop — find, prove, prioritize — with a local AI engine on hardware you already own.
- AI vulnerability management turns a scanner’s raw findings into a ranked, explained, and verified fix queue.
- The differentiator that matters is where the AI runs: CVEasy keeps the model and your exposure map on-box, not in a vendor cloud.
- Prioritization uses exploitability, active threat activity, and business impact — not the global CVSS label.
- Verification is part of the job: an exposure is confirmed only when an attack proves it, and a fix only when a re-run disproves it.
- CVEasy ships 328,000+ CVEs and 158 integrations, and re-scores Tenable, Qualys and Rapid7 exports with TRIS™.
Find, prove, prioritize — locally.
Three capabilities, one application, no cloud required for the core loop. Each runs on the box, against your own data.
Consolidate every source into one graph.
CVEasy is a second source of truth for your attack surface. Agentless, local, and additive to the scanners you already run.
- Agentless local service discovery (TCP service sweep, no host agents)
- Consolidates 158 integrations across 15 categories (Nessus, Qualys, Rapid7, Snyk and more)
- 328,000+ CVE database with daily sync and auto-correlation
- Cloud posture discovery across AWS, Azure and GCP (agentless)
- One deduplicated asset and attack-path graph
- Business context and asset-criticality enrichment
A provable attack ledger, not a guess.
BASzy™ runs real attack techniques against your real controls and records what it proved. “Critical” means “we proved it”; “resolved” means “we re-ran the attack and it failed.”
- Breach-and-attack simulation mapped to MITRE ATT&CK
- Attack chain engine (initial access → credentials → lateral movement → exfiltration)
- Confirmed-exploitable verdicts backed by recorded evidence
- Security-control validation (EDR, firewall, DLP, SIEM)
- Re-run after remediation to prove the fix landed
- Evidence ledger as the audit trail behind every verdict
TRIS™ scores risk in context.
TRIS™ 3 is a fitted, monotone scoring model that goes beyond CVSS and EPSS: likelihood of exploitation, verified controls, asset context and confirmed exploitation combine into one defensible score, and adding risk never lowers it.
- TRIS™ 3 scoring (0–100), backtested against CISA KEV
- EPSS weaponization probability and CISA KEV active-exploitation flag
- Threat-actor targeting correlation
- Attack-path blast radius (graph-based lateral-movement scoring)
- FAIR-based financial-impact quantification
- ACT / ATTEND / TRACK / MONITOR priority bands with per-tier SLAs
CVSS answers “how bad is this in a lab.” It never answers “how bad is this on that host, in this network, for this business.” Score the exposure in context or you are prioritizing blind. Try it yourself in the TRIS Calculator.
The analysis comes to your data.
The quiet cost of most “AI security” tools is that your findings, inventory and sometimes raw logs are shipped to a vendor cloud and a hosted model. CVEasy inverts that.
CVEasy AI ships a local AI engine that runs on Apple Silicon. Prioritization reasoning, remediation drafting, and finding analysis happen on the box, against data that never leaves it. That is what we mean by local-first: the product is built to run without a cloud for its core loop, and it is air-gap capable for environments that have no outbound path at all.
To be precise about what does touch the network: there is licence validation, and optional features you can enable — a free weekly threat-intel feed and an optional evidence-anchoring step — while the lowest-cost Core edition sends anonymous usage counts. None of that ships your scan data, your asset inventory, or your exposure map off the device. The complete attack-surface map — the thing a cloud platform would hold for you — stays on your hardware.
A vulnerability management platform holds the single most sensitive map in your environment: every asset, every weakness, every attack path. When that map lives in a vendor cloud, the vendor becomes a single point of catastrophic compromise. Keeping it on-box removes that class of risk entirely.
Built for teams that can’t ship their attack surface to a SaaS.
If your exposure data is sensitive, regulated, or simply yours, on-box AI vulnerability management is the point.
- Regulated and air-gapped environments where exposure data cannot leave the building
- Mac-first security teams that want a native Apple Silicon application, not a browser tab
- MSSPs running many client estates without per-asset licence blow-up
- Mid-market teams that need modern prioritization without enterprise-cloud pricing
- Blue and red teams that want scoring and attack validation in one tool
- Privacy-sensitive organizations that refuse to send raw logs to a hosted model
Two models for AI vulnerability management.
A fair comparison of the two deployment models. Cloud AI VM is a legitimate choice; this is simply where CVEasy differs.
| Dimension | CVEasy AI (on-box) | Typical cloud AI VM |
|---|---|---|
| Where the AI runs | On your machine (Apple Silicon) | Vendor-hosted model API |
| Where your exposure map lives | On the box, local-first | Vendor cloud |
| Air-gap capable | Yes | Generally no |
| Prioritization | TRIS™ 3, in context | Varies by vendor |
| Exploit validation | Built-in (BASzy™), provable | Often a separate product |
| Pricing model | Flat-rate, published | Commonly per asset |
Figures for other models are described in general terms; confirm current capabilities and terms with each vendor. CVEasy figures reflect the shipped product. See CVEasy vs Tenable →
Questions, answered.
The questions practitioners actually ask, answered without the hedging.
What is AI vulnerability management?
AI vulnerability management uses machine learning to turn raw scanner output into prioritized, explained, and verified remediation work: correlating findings to the right assets, ranking them by real-world risk rather than raw CVSS, drafting fix guidance, and helping prove whether an exposure is actually exploitable. CVEasy AI runs that entire workflow with a local AI engine on your own machine.
Where does the AI run in CVEasy AI?
On your machine. CVEasy ships a local, on-box AI engine that runs on Apple Silicon. Prioritization, remediation drafting, and analysis happen locally rather than being sent to a third-party model API. CVEasy is local-first and air-gap capable; there is licence validation and optional threat-intel and anchoring you can turn on, but your scan and exposure data stays on the box.
How is this different from a cloud AI security tool?
Most AI security tooling sends your findings, asset inventory, and sometimes raw logs to a vendor cloud and a hosted model. CVEasy keeps the exposure map and the model on hardware you control. That is the core differentiator: the analysis comes to your data instead of your data going to someone else’s cloud.
What does "provable" mean here?
CVEasy pairs scoring with BASzy™, its built-in attack simulation, and records what it actually proved in an evidence ledger. An exposure can be marked confirmed exploitable only when the technique lands against your real controls, and a fix is confirmed only when the same attack is re-run and fails. The ledger is the audit trail behind every verdict.
How does TRIS prioritize vulnerabilities?
TRIS™ 3 scores every finding from 0 to 100 in context: a fitted likelihood of exploitation (EPSS, CVSS, age, network reachability, vendor-reported exploitation), lowered only by verified mitigating controls, raised by asset context such as criticality and exposure, and floored when exploitation is confirmed (CISA KEV, a documented threat actor, or BASzy™ proof). It does not rely on the global CVSS label. The result is one ranked queue of what to fix first for your environment.
How many vulnerabilities and integrations does it cover?
CVEasy ships with a database of 328,000+ CVEs that syncs daily, and consolidates findings from 158 integrations across 15 categories, including Tenable Nessus, Qualys and Rapid7 exports re-scored with TRIS™.
Who is it for?
Security teams that want modern, AI-assisted exposure management without shipping their attack surface to a SaaS vendor: regulated and air-gapped environments, Mac-first security teams, MSSPs, and mid-market teams that cannot justify per-asset enterprise pricing.
AI vulnerability management that stays on your box.
Find, prove, and prioritize your real exposures locally on hardware you already own.
Mac-native · local-first · your data never leaves the box