Advanced Code & Security Analyzer AI Agent

This is a submission for the Agent.ai Challenge: Full-Stack Agent (See Details)

This is a submission for the Agent.ai Challenge: Productivity-Pro Agent (See Details)

What I Built

The Advanced Code & Security Analyzer was born from a critical observation: as AI agents increasingly handle sensitive user data, there's an urgent need to ensure robust security practices in their implementation. I built this agent to help developers be more mindful of security vulnerabilities that could compromise user data protection.

Motivation:

• Growing concerns about AI agents' access to sensitive user information
• Need for automated security checks in AI-driven development
• Desire to promote security-first thinking in the AI agent ecosystem
• Recognition that many data breaches stem from basic security oversights

Key Features:

1 Flexible Input Methods: Accepts code via file uploads or GitHub repositories
2 Multi-Stage Analysis:

• Initial code review and language detection
• Comprehensive security vulnerability scanning
• GDPR compliance assessment
• Severity classification (Critical/Moderate/Low)

3 Detailed Reporting:

• Executive summary of findings
• Detailed vulnerability analysis with risk levels
• OWASP Top 10 mapping
• Actionable recommendations
• Citations and references

4 Automated Alerts: Sends urgent notifications for identified security issues with detailed markdown-formatted reports

The agent is particularly valuable for:

• Teams developing AI agents handling user data
• Development teams needing quick security assessments
• Security teams performing code audits
• Organizations requiring GDPR compliance checks
• Projects using environment variables and API keys

Use Case Workflow:

1 Developer uploads code for security analysis
2 Agent performs comprehensive security audit
3 Based on severity findings:

• CRITICAL: Sends urgent email alert to developer and creates a report
• MODERATE/LOW: Creates report for documentation Developer can access:
• Immediate email notification with key findings
• Detailed Doc report for thorough review and sharing
• Actionable recommendations for security improvements

The agent serves as both a security tool and an educational resource, helping developers understand and implement better security practices in their AI agent development process. The dual-delivery system (email + Document) ensures that critical security issues are immediately addressed while maintaining a permanent record of all security audits for future reference and compliance purposes.

This automated workflow helps teams:

• Respond quickly to critical security issues
• Maintain audit trails of security reviews
• Share findings easily with stakeholders
• Track security improvements over time
• Build more secure AI agents from the ground up

Demo

Link: https://agent.ai/agent/CodeSecurityAudit

Link to video: https://youtu.be/961h9P0rf8s

Screenshots

Agent.ai Experience

The overall experience was good. I appreciated the informative notes about built-in functions, the clear user interface, and its user-friendly nature. Nothing was too complex. However, this simplicity limits the agent's customization capabilities.

In my experience, I encountered significant difficulties working with webhooks. I developed a VS Code extension that used webhooks to analyze file content while developers were working and then opened a new VS window with the analysis report. After numerous attempts and troubleshooting, even the basic curl command for the webhook wasn't functioning properly, consistently returning the error: "Error running agent: cannot unpack non-iterable NoneType object."

After several attempts using only the default curl command, the same error persisted. As a result, I put that feature of the agent on hold. Additionally, besides using email, I tried the Agent.ai built-in function to save a document to Google Drive, but it failed to work as smoothly as the email function. I just wished debugging could be more developer friendly and also more documentation for more complex workflows, for example, what data format the agent is expecting to receive through the webhook.

In conclusion, the platform has significant potential, and the community will likely grow rapidly. Despite the challenges, it was an intense but rewarding experience. Thank you.

Source: View source