Kaiburr offers a unified DevSecOps platform that measures, secures, and improves software product delivery. Their platform uses AI to analyze datasets and a policy engine to validate best practices, providing visualizations of team performance against key metrics like speed, cost, and security. This allows organizations to optimize their software development lifecycle and ensure compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams often struggle with inefficiencies across the software development lifecycle, leading to slower delivery times, increased costs, and potential security vulnerabilities. Siloed tools and a lack of visibility into key performance indicators (KPIs) hinder continuous improvement and make it difficult to identify and address bottlenecks. Ensuring continuous compliance with security standards also presents a significant challenge.
Solution
Kaiburr offers a unified platform designed to measure, secure, and improve software product delivery. The platform integrates with existing development tools and leverages AI to analyze data, identify inefficiencies, and automate tasks across the software development lifecycle. By providing a single pane of glass view of key metrics, best practices, and potential risks, Kaiburr enables teams to optimize performance, accelerate delivery, and ensure continuous compliance. The platform's AI agents can also automate remediation of vulnerabilities, generate code, and provision cloud resources, further boosting productivity and reducing manual effort.
Target Audience
Kaiburr targets technology organizations, including CPOs, CFOs, CIOs, CTOs, CDOs, CISOs, DevSecOps leaders, engineering leaders, quality engineering leaders, agile leaders, program leaders, DevOps leaders, infrastructure leaders, cloud leaders, and developers.
Features
- AI-powered analysis of software delivery data to identify bottlenecks and inefficiencies
- Policy engine to validate adherence to best practices and compliance standards
- Visualizations of team performance against key metrics such as DORA metrics, speed, cost, and security
- Automated security and compliance controls to reduce risk and ensure continuous compliance
- AI agents for auto-remediation of vulnerabilities, code quality fixes, and Terraform code generation
- Integration with over 75 development tools via 1200+ APIs
- Real-time identification of security gaps in SDLC and CI/CD pipelines
- Unified view of security vulnerabilities across SAST, DAST, SCA, and other security tools
- Workflow automation for OS patching and evidence collection for compliance controls