Paste a CVE. Get OS-specific commands, verification steps, and rollback procedures. Generated locally by your AI model. No data leaves your network.
Three steps. One minute. A complete remediation runbook tailored to your environment.
Paste any CVE identifier like CVE-2024-38077. CVEasy instantly pulls enrichment data from its local database of 330K+ indexed vulnerabilities.
The local AI engine identifies affected systems, OS versions, available patches, exploit status, and maps to your specific infrastructure context.
Receive a step-by-step remediation runbook with exact patch commands, verification steps, rollback procedures, and estimated downtime.
A complete, actionable remediation runbook. Not vague advice. Exact commands you can copy, paste, and run.
The runbook is only half the story. CVEasy generates the fix, then orchestrates it through the patch and MDM consoles your team already runs. CVEasy never pushes patches to your endpoints directly.
The local AI engine produces the exact fix, then routes it to your existing console as a work order. Your patch tooling stays the source of truth for deployment, so nothing changes about how patches actually reach endpoints.
Microsoft Intune, Automox, Tanium, Jamf Pro, and PDQ Connect are supported out of the box, with a universal webhook fallback for anything else. No new agent to deploy on your endpoints.
Console credentials are stored AES-GCM encrypted, and dispatch is fail-closed: if a connector cannot be reached or authorized, nothing goes out. Orchestration never proceeds on a broken or unverified path.
Once the console reports the patch applied, CVEasy re-scans the affected asset to confirm the CVE is actually gone. That verified handoff closes the CTEM Mobilize loop instead of trusting a status field.
Every runbook is tailored to the exact operating system and package manager your team uses. No generic advice.
Native PowerShell commands, WSUS integration, SCCM deployment scripts, and Windows Update automation.
Distribution-aware commands that detect your package manager and generate the correct syntax automatically.
System-level softwareupdate commands and Homebrew package remediation for development environments.
Dockerfile patch generation, base image upgrade paths, and automated image rebuild commands for your CI/CD pipeline.
Your vulnerability data never leaves your hardware. The CVEasy AI Engine runs entirely on-premise.
No cloud APIs, no data exfiltration risk, no third-party processing agreements. The AI model runs locally on your machine. Disconnect from the internet and it still works.
A purpose-built 7B parameter model, 4-bit quantized for performance. Trained on vulnerability remediation patterns, security advisories, and OS-specific patch procedures. Fits in 8GB of RAM.
The AI engine ingests your asset inventory, OS versions, installed software, and network topology. Every runbook is tailored to what you actually have deployed, not generic advice for a hypothetical network.
For teams that prefer cloud models, CVEasy can also connect to Claude, GPT-4, or Azure OpenAI. Your choice. The local engine handles everything by default, but the option is there if you want it.
Every remediation runbook generates audit-ready evidence. Hand it to your auditors, not your engineering team.
Timestamped proof of patch application, verification results, and rollback availability. Every action is logged and exportable for audit trails.
Every fix maps to HIPAA, PCI-DSS, SOC 2, NIST 800-53, FedRAMP, and ISO 27001 controls. Know exactly which compliance requirements each remediation satisfies.
Board-ready reports with risk trend summaries, MTTR improvements, and before/after TRIS scores. PDF export with your organization's branding.
See how CVEasy AI turns CVE identifiers into actionable remediation runbooks in under 60 seconds.