AI-Generated Code
AI-driven code suggestions (e.g., from GitHub Copilot, ChatGPT plugins, or other generative AI tools) can introduce unknown open source dependencies, licensing risks, or vulnerabilities inadvertently.
AI Code Uncertainty:
Developers may not track references or third-party snippets.
Hidden Vulnerabilities:
AI might integrate libraries or code blocks with known CVEs.
Compliance Complexity:
License obligations can be overlooked, leading to legal exposure.
Relevant Black Duck Solutions
Black Duck SCA: Identifies open source components in AI-generated code.
Black Duck Security Advisories: Alerts teams to known vulnerabilities or security exposures.
Policy Management: Automates license compliance checks for newly introduced code.
Detailed Use Case
A fintech startup uses AI-assisted coding tools to speed up feature development. They suspect embedded libraries in final code merges could violate license terms or contain unpatched vulnerabilities.
Baseline Audit
Dhanyaayai configures Black Duck scanning in their CI/CD pipeline to auto-check all commits—AI-generated or otherwise.
AI Code Monitoring
The platform flags any new or unknown open source references introduced by AI suggestions.
Policy Enforcement
If a disallowed license (e.g., GPL3) or high-severity CVE is detected, the build fails, prompting immediate remediation.
Continuous Learning
Dev teams receive real-time dashboards to understand which libraries are safe vs. risky for future AI prompts.
Why Choose Dhanyaayai
Key Benefits
Proactive Risk Mitigation
Eliminate vulnerabilities before code hits production.
Simplified Compliance
Automated checks for open source licensing obligations.
Accelerated Development
Devs can confidently use AI-driven suggestions without legal or security pitfalls.
Continuous Improvement
Reports feed back into AI coding strategy to reduce repeated issues.
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