
Security Without
Limits
Building intelligence to autonomously detect, triage and remediate any software vulnerability
Organizations face software supply chain risks at two critical levels
Container
Images
Images
Containers often rely on outdated or bloated base images, with vulnerabilities lurking in every layer. These risks are easily overlooked and frequently inherited across teams and services — making them prime targets for supply chain attacks.


Application Dependencies
Modern apps pull in hundreds of third-party packages. Even a single vulnerable or malicious dependency — direct or transitive — can expose critical systems. Traditional scanners miss context, making it hard to know what’s exploitable and what truly matters.
Our Product in Simple Terms
For Container Security
1
Detects
Detects vulnerabilities in all your base images that could compromise your systems or impact your compliance
2
Remediates
Remediates problems automatically by updating images or packages or removing unnecessary components using AI
3
Generates
Generates secure replacement images that work seamlessly with your applications
For Application Security
1
Scans
Scans repositories to identify vulnerable dependencies
2
Remediates
Remediates vulnerabilities through automated dependency updates and code changes using AI if necessary
3
Tests
Tests changes to ensure correctness
For Both Layers
1
Integrates
With your existing development workflow through automated pull requests
2
Schedules
Schedules regular scans and remediations to maintain security posture
3
Reports
Reports on vulnerability status, remediation progress, and compliance readiness
Who Benefits
Security Engineers
Who need to reduce vulnerabilities and maintain compliance
DevOps &
Infrastructure Teams
Infrastructure Teams
Who want security without sacrificing deployment speed
Software Developers
Who need security fixes that don't disrupt their workflow
Contact Us To Learn More About DepthFirst.
Building intelligence to autonomously detect, triage and remediate any software vulnerability