Enterprise-grade AI models for security applications. 180 models with advanced reasoning for threat analysis, 180 budget options under $1/1M tokens, and{' '} 180 self-hostable for on-premise deployment.
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7Anthropic | 95 |
| 2 | GPT-5.5OpenAI | 93 |
| 3 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 92 |
| 4 | Gemini 3.1 Pro PreviewGoogle | 92 |
| 5 | GPT-5.4 ProOpenAI | 92 |
| 6 | GPT-5.4OpenAI | 92 |
| 7 | GPT-5.5 ProOpenAI | 91 |
| 8 | GPT-5.2 ProOpenAI | 91 |
| 9 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 10 | Claude Opus 4.6Anthropic | 90 |
| 11 | GPT-5.2-CodexOpenAI | 90 |
| 12 | GPT-5.2OpenAI | 90 |
| 13 | Grok 4.20xAI | 89 |
| 14 | DeepSeek V4 ProDeepSeek | 87 |
| 15 | GPT-5.3-CodexOpenAI | 89 |
| 16 | GPT-5 ProOpenAI | 89 |
| 17 | Gemini 3 Flash PreviewGoogle | 88 |
| 18 | Grok 4xAI | 88 |
| 19 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 20 | GPT-5 CodexOpenAI | 88 |
| 21 | GPT-5OpenAI | 88 |
| 22 | GPT-5.1OpenAI | 87 |
| 23 | GPT-5.1-CodexOpenAI | 87 |
| 24 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 25 | o3 Deep ResearchOpenAI | 87 |
| 26 | o3 ProOpenAI | 87 |
| 27 | o3OpenAI | 87 |
| 28 | Claude Sonnet 4.6Anthropic | 85 |
| 29 | Claude Opus 4.5Anthropic | 85 |
| 30 | Gemini 2.5 ProGoogle | 84 |
Deploy AI to analyze network traffic, identify anomalies, and detect zero-day threats. Reasoning models excel at understanding attack patterns and correlating indicators of compromise across multiple data sources.
Automate parsing and analysis of security logs from firewalls, IDPs, and endpoints. AI models with long context windows can process thousands of log entries and summarize security events with natural language explanations of risk.
Use AI to scan code for security flaws, prioritize vulnerabilities by severity and exploitability, and generate remediation recommendations. JSON mode enables structured output for integration with ticketing systems.
Accelerate incident investigation by analyzing artifacts, timelines, and evidence. Function calling enables AI to automatically query security tools, execute containment scripts, and coordinate response playbooks.
Reasoning-capable models analyze log files, network traffic patterns, and system configurations to identify indicators of compromise. They correlate events across multiple data sources, draft incident reports, and suggest remediation steps. Large context windows are essential for analyzing verbose security logs.
For sensitive security data (logs containing IPs, credentials, PII), use self-hosted open-source models or providers with SOC 2 Type II certification. Never send actual credentials or keys to AI APIs. Sanitize logs before processing and use models ranked high for open-source/self-hosting.
Models with reasoning assist in reconnaissance, vulnerability analysis, and exploit development for authorized testing. They generate Nmap commands, analyze scan results, draft pentest reports, and suggest attack chains. Function calling enables programmatic interaction with security tools.
Yes, models with web search reference current frameworks (NIST, ISO 27001, SOC 2, GDPR). Large output capacity generates comprehensive policy documents. Reasoning ensures policies address actual risks rather than generic boilerplate. Always review with compliance professionals.