Stop Chasing Alerts.
Start Closing CVEs.
Move from reactive vulnerability management to automated, outcome-driven remediation. Let our engineers handle the fixes—powered by AI, validated by humans, and delivered without disruption.
ISO 27001 & SOC 2
Standards
Role-Based Access
Control
Automated Compliance
Scanning
We don’t just surface vulnerabilities, we fix them end-to-end.
Enterprises face a constant flow of CVEs across application code, infrastructure, and third-party dependencies. Addressing them is R&D-heavy, slow, and largely manual, increasing security risk and operational cost if not handled continuously.
Our approach combines Process, People, and Technology to deliver end-to-end CVE remediation with clear ownership. We follow a structured operating model to continuously identify, prioritize, remediate, test, and track CVEs. Dedicated security engineers work as an extension of your teams, handling complex fixes, major dependency upgrades, and validation with speed and accuracy.
Execution is accelerated by CVE Copilot, our AI-assisted prefab that automates detection, prioritization, testing, and reporting. High-volume fixes move faster through automation, while critical and high-risk changes remain engineer-led. The result: faster remediation cycles, lower cost of operation, and sustained security without slowing product delivery.
Measured Impact
↓ CVE remediation cycle time
↓ Cost per CVE fixed
↑ SLA Compliance
↓ Dev Interruptions
How CVE Copilot
powers execution
STEP 1
CVE Identification
CVE CoPilot starts by identifying vulnerabilities through automated detection using advanced security scanning tools like Trivy and Prisma. It also performs continuous nightly scans to ensure issues are caught early, preventing vulnerabilities from reaching production environments.
STEP 2
CVE Remediation
Once vulnerabilities are detected, it accelerates remediation with a two-pronged approach. For infrastructure, it patches base images and updates OS libraries. For applications, it upgrades third-party libraries and applies secure code changes to eliminate security flaws efficiently.
STEP 3
CVE Testing
To maintain reliability and speed, it automates test case creation. This enhances the testing lifecycle, validates fixes quickly, and ensures that remediation efforts do not introduce new issues—significantly reducing resolution time.
STEP 4
CVE Monitoring
It provides continuous oversight with customizable reports and detailed analytics on vulnerability status and remediation progress. Automated alerts for new vulnerabilities and critical CVEs keep your team informed and proactive, ensuring ongoing security compliance.
Core features
built to close CVEs at scale
Everything you need to automate vulnerability remediation
Modular Intelligence
A full-stack engine: Scanner detects, Analyzer prioritizes, Migration Guide recommends code changes, and Fixer deploys the patch.
Flexible Packaging
Seamlessly fits your stack. Deploy as a GitHub Action within your CI/CD pipeline or use our Standalone SaaS version for non-intrusive security.
Minor Version Upgrades
High-speed, low-risk patching. Automate library version upgrades (e.g., 2.5.0 to 2.14.0) with minimal supporting code changes required in hours.
Major Version Remediation
Tackle complex fixes involving multiple file changes, associated import updates, and deep library architectural upgrades automatically using AI + human model.
Enterprise Environment Support
Comprehensive support for Java, Spring, Node.js, and Nestjs. Optimized for Maven single and multi-module projects with dependency management.
Operating System Hardening
Automated Docker image analysis. Scan and update Distroless images across Google, MS, and public registries with base image recommendations.
AI Support
Supports OpenAI, Azure OpenAI, Google Gemini and support for more GenAI models coming ahead.
Knowledgebase
Build your organization’s knowledge base of potential issues, and fixes to enrich the fix and speed up resolutions over time.
Outcome driven
Pay for outcomes than fixed recurring costs every month, giving you more control on spends and better ROI.
Modular Intelligence
A full-stack engine: Scanner detects, Analyzer prioritizes, Migration Guide recommends code changes, and Fixer deploys the patch.
Flexible Packaging
Seamlessly fits your stack. Deploy as a GitHub Action within your CI/CD pipeline or use our Standalone SaaS version for non-intrusive security.
Minor Version Upgrades
High-speed, low-risk patching. Automate library version upgrades (e.g., 2.5.0 to 2.14.0) with minimal supporting code changes required in hours.
Major Version Remediation
Tackle complex fixes involving multiple file changes, associated import updates, and deep library architectural upgrades automatically using AI + human model.
Enterprise Environment Support
Comprehensive support for Java, Spring, Node.js, and Nestjs. Optimized for Maven single and multi-module projects with dependency management.
Operating System Hardening
Automated Docker image analysis. Scan and update Distroless images across Google, MS, and public registries with base image recommendations.
AI Support
Supports OpenAI, Azure OpenAI, Google Gemini and support for more GenAI models coming ahead.
Knowledgebase
Build your organization’s knowledge base of potential issues, and fixes to enrich the fix and speed up resolutions over time.
Outcome driven
Pay for outcomes than fixed recurring costs every month, giving you more control on spends and better ROI.
Watch the recorded webinar
Transform Vulnerability Management with AI
WATCH WEBINAR
Ready to recover 50% of your developers’ time?
- Fix what matters with risk-based prioritization.
- Patch without breaking production.
- Maintain developer autonomy.
- Get an outcome-driven ROI.
Frequently asked questions
CVE Copilot is designed for mid to large enterprises, particularly in regulated industries, with active DevSecOps practices. It is best suited for Security Engineers, Developers, and CISOs focused on reducing vulnerability exposure while maintaining development velocity.
Unlike tools that only detect or report vulnerabilities, CVE Copilot:
- Assesses CVE severity and impact using algorithms
- Prioritizes remediation efforts intelligently
- Delivers actual source-code fixes, including library upgrades and directional code changes
This reduces manual R&D effort and trial-and-error in CVE remediation.
CVE Copilot follows a four-phase delivery model:
- Ramp-up & Discovery – onboarding and understanding the product ecosystem
- Collaborative Scaling – working with existing stakeholders
- Complete Ownership – full responsibility for assigned modules
- Regular Reviews – backlog review, staffing planning, and procedural coordination
Customers receive:
- Production-ready source code fixes for identified CVEs
- CVE Analyzer reports outlining critical and minor vulnerabilities, required upgrades, and a holistic risk score
We follow ISO 27001 and SOC 2 standards, implements role-based access control, and use automated security scanning tools to support data protection and compliance.
Customers typically see measurable improvements—such as faster CVE resolution and reduced backlog—within the first few weeks of engagement, depending on application size and complexity.
Success is typically measured through:
- Reduction in CVE fix cycle time
- Lower overall cost of CVE remediation