Running AI Security Audits in Remocode: CRITICAL to LOW Severity Analysis

# Running AI Security Audits in Remocode

Security is often an afterthought in development. Remocode's audit command changes that by making security review as easy as running a single command. The AI analyzes your recent code changes and terminal activity, then produces a structured security report.

How the Audit Command Works

When you run audit in Remocode, the AI examines the context of your recent work: code changes visible in the terminal, command output, file modifications, and agent activity. It then evaluates this activity through a security lens and generates a report.

The report categorizes every finding into one of four severity levels:

• ●CRITICAL — Vulnerabilities that could lead to immediate exploitation. Examples include exposed credentials, SQL injection vectors, and authentication bypasses. These require immediate action.
• ●HIGH — Serious security issues that should be fixed before code reaches production. Examples include missing input validation on public endpoints, improper access control, and insecure deserialization.
• ●MEDIUM — Issues that represent meaningful security risk but are not immediately exploitable. Examples include overly permissive CORS configurations, missing rate limiting, and verbose error messages that leak implementation details.
• ●LOW — Minor security improvements to consider. Examples include using deprecated cryptographic functions, missing security headers, and inconsistent error handling.

The A-F Grading System

In addition to individual findings, the audit produces an overall letter grade:

• ●A — Excellent security posture. Few or no findings, all at LOW severity.
• ●B — Good security with minor issues. Some LOW and MEDIUM findings.
• ●C — Acceptable but with notable gaps. MEDIUM findings present, possibly a HIGH.
• ●D — Concerning security posture. Multiple HIGH findings or one CRITICAL.
• ●F — Serious security problems. CRITICAL findings that need immediate attention.

The grade gives you an instant snapshot without reading every detail. If you see an A or B, you can proceed with confidence. A D or F means you need to stop and address the issues before continuing.

Customizing the Audit Prompt

Navigate to the Commands tab in AI Settings to customize what the audit checks for. The default prompt covers common security concerns, but you can tailor it to your project:

For web applications, add checks for XSS vulnerabilities, CSRF protection, cookie security attributes, and Content Security Policy headers.

For APIs, emphasize authentication token handling, authorization logic, input sanitization, and rate limiting.

For infrastructure code, focus on secrets management, network exposure, IAM permissions, and container security.

For data-intensive applications, add checks for data encryption at rest and in transit, PII handling, and compliance with relevant standards.

When to Run Audits

After AI agent work. Claude Code, Gemini CLI, and Codex focus on functionality. They may not prioritize security. Running an audit after each significant batch of agent-generated code catches security gaps early.

Before pull requests. Make audit checks part of your pre-PR workflow. The structured report with severity levels makes it easy to communicate security status to reviewers.

After dependency updates. When you update packages, run an audit to verify that the new versions do not introduce security issues or that updated APIs are used correctly.

On a schedule. Use Remocode's standup scheduler to run periodic audits. A daily or weekly security check ensures nothing slips through.

Interpreting Results

Not every finding requires immediate action. Focus your effort based on severity:

• ●Fix all CRITICAL findings immediately. These represent active risk.
• ●Address HIGH findings before merging or deploying.
• ●Plan to resolve MEDIUM findings in the current development cycle.
• ●Track LOW findings for future improvement.

The audit is powered by your Chat Model, so the quality of analysis scales with the model you choose. Claude Opus 4.6 or GPT-5.4 produce the most thorough audits, while lighter models provide faster but less detailed results.

Remocode's audit command makes security review a natural part of your coding workflow rather than a separate, easily skipped step.