AI & ML
AI-powered cutting-edge platform
Designed to assist developers and security teams, the AI-powered cutting-edge platform revolutionizes code by automatically generating precise fixes for vulnerabilities in their codebase. With support for diverse programming languages, advanced AI algorithms, and automated workflows, it eliminates manual vulnerability fixing, increases efficiency, and improves team productivity.
- EU-based Startup Company
- 7 people
- AI & ML
The challenge
- A lot of time and effort required to detect security vulnerabilities manually.
- Reducing false positives when using traditional security tools.
- Using inefficient reporting tools for security metrics.
- Difficulty in scaling security efforts with the growth of codebases.
- Lack of real-time visibility into security postures.
- Inability to protect sensitive information and comply with data protection regulations.
- Client
- EU-based Startup Company
- Team size
- 7 people
- Industry
- AI & ML
At a glance
Project goals
- To support various programming languages for versatility across diverse development environments.
- To leverage machine learning algorithms to improve vulnerability detection accuracy and reduce false positives.
- To implement automated testing mechanisms to validate the effectiveness and security of generated code fixes.
- To create AI algorithms that generate precise and accurate code fixes for identified vulnerabilities.
- To incorporate automated workflows that suggest or implement fixes for identified vulnerabilities.
- To provide comprehensive reporting capabilities to gain insights into the security posture.
Results
+55% Security Boost
55% improvement in accurately identifying security vulnerabilities.
-35% False Positives Precision
35% reduction in false positive rates.
10-Min Rapid Threat Response
Rapid 10-minute response time for addressing emerging security threats.
+15% Overall Security
A 15% improvement in the overall security posture.
+68% Team Productivity
68% improvement in team productivity.
Questions about this case study
Who was the client on this project?
Client: EU-based Startup Company. Industry: AI & ML. We keep client names confidential under NDA, so we share the profile rather than the company name.
How big was the DevKit team?
DevKit provided a team of 7 people for this project, working as an extension of the client's own team.
Can DevKit build a similar team for my company?
Yes. We match you with top engineers from our own team and private network. You get vetted CVs in 3–5 business days, individual engineers can start in 2–3 weeks, and a dedicated team is usually ready in 2–4 weeks.
How do contracts, IP and confidentiality work?
You sign with DevKit Agency LLC (US) or DevKit Agency OÜ (EU). Every engagement includes an NDA, full IP ownership for you, free replacement if an engineer isn't the right fit, and no long-term lock-in.
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