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AI for Security Auditing

241 models ranked for security auditing. Heavy bonuses for reasoning (vulnerability analysis), large context (full codebase review), function calling (security tool integration), and JSON mode (structured reports).

How we rank: composite score (benchmark scores 90%, capabilities 5%, context window 5%) adjusted with use-case-specific capability bonuses.
241
Total Ranked
241
Reasoning
236
128K+ Context
234
Function Calling

Security AI - Ranked by Security Score

#ModelScore
1Claude Fable 5Anthropic97
2Claude Fable 5 (batch)Anthropic97
3Claude Opus 5 (Fast)Anthropic95
4Claude Opus 5Anthropic95
5Claude Opus 4.8 (Fast)Anthropic95
6Claude Opus 4.8Anthropic95
7Claude Opus 4.7 (Fast)Anthropic95
8Claude Opus 4.7Anthropic95
9Claude Opus 4.7 (batch)Anthropic95
10Claude Opus 4.8 (batch)Anthropic95
11GPT-5.5 ProOpenAI93
12GPT-5.5 Pro (batch)OpenAI93
13GPT-5.5OpenAI93
14GPT-5.5 (batch)OpenAI93
15Gemini 3.1 Pro Preview Custom ToolsGoogle92
16Gemini 3.1 Pro PreviewGoogle92
17Gemini 3.1 Pro Preview (batch)Google92
18GPT-5.4 ProOpenAI92
19GPT-5.4 Pro (batch)OpenAI92
20GPT-5.4OpenAI92
21GPT-5.4 (batch)OpenAI92
22GPT-5.3-CodexOpenAI91
23GPT-5.2-CodexOpenAI91
24GPT-5.2 ProOpenAI91
25GPT-5.2 Pro (batch)OpenAI91
26GPT-5.2OpenAI91
27GPT-5.2 (batch)OpenAI91
28Claude Opus 4.6Anthropic90
29Claude Opus 4.6 (batch)Anthropic90
30GPT-5.6 Luna ProOpenAI89

AI for Security & Auditing

Vulnerability Detection

Reasoning models identify OWASP Top 10 vulnerabilities including injection, XSS, CSRF, and broken access control with detailed chain-of-thought explanations.

Code Review & SAST

Large context models analyze entire codebases for security issues. JSON mode produces structured SARIF-format reports compatible with CI/CD pipeline integration.

Compliance Analysis

Audit code against SOC 2, GDPR, HIPAA, and PCI-DSS requirements. Models identify data handling violations and suggest compliant implementations.

Incident Response

Analyze security logs, trace attack vectors, and generate incident reports. Function calling integrates with SIEM tools and threat intelligence APIs.

Frequently Asked Questions

AI models accelerate security assessments by analyzing code for known vulnerability patterns, reviewing configurations, and generating test cases. They complement human pentesters by handling the systematic review work, freeing experts for creative attack research and business logic testing.

Reasoning is paramount for understanding complex attack chains and business logic vulnerabilities. Large context (128K+) processes entire codebases and configuration sets. Function calling integrates with security scanners and vulnerability databases. Web search accesses current CVE information.

Models draft SOC 2, ISO 27001, PCI DSS, and HIPAA audit reports from assessment data. Reasoning maps controls to compliance requirements. JSON mode outputs structured finding lists. Large output generates comprehensive reports without truncation.

Treat AI findings as preliminary assessments requiring human validation. False positives are common. Implement a triage process where security engineers verify, prioritize, and contextualize AI-identified issues before creating remediation tickets.

AI for Security Auditing (2026) | LM Market Cap