AI Security from Code to Runtime: Harness Secures AI Apps
Blog post from Harness
Harness has introduced two new products, AI Security and Secure AI Coding, to enhance its DevSecOps platform in the AI era, addressing the challenges posed by AI's impact on software development and security. AI Security focuses on protecting AI components within applications by integrating API security, while AI Discovery, AI Testing, and AI Firewall are new features that identify and protect against AI-specific threats. Secure AI Coding aims to address vulnerabilities in AI-generated code by integrating security checks directly into the code generation process, leveraging tools like Cursor and Claude Code to detect issues as code is written. These innovations address the growing concerns over AI-native applications' vulnerabilities and the need for a comprehensive security approach that connects the entire software delivery lifecycle, ensuring both AI applications and AI-generated code are secure from inception to production.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Coding Assistant | 13 | 1,255 | 319 | 126 | +24% |
| Kubernetes | 13 | 1,840 | 308 | 106 | +33% |
| LLM | 6 | 6,078 | 960 | 218 | +18% |
| Real-time | 4 | 6,457 | 1,307 | 242 | +28% |
| MCP | 3 | 4,488 | 443 | 150 | +34% |
| AI Agents | 2 | 4,545 | 963 | 231 | +27% |
| Observability | 2 | 3,204 | 716 | 172 | +14% |
| Developer Experience | 1 | 482 | 254 | 106 | +18% |