97%
reduction in time critical vulnerabilities remain open
Defend at the pace threats now demand
Claude helps security teams investigate threats, validate findings, and resolve issues faster.
Security for evolving needs
Reasons like a security researcher
Claude traces data flows across files, understands framework conventions, and catches logic flaws that rule-based scanners miss. When a vulnerability spans three files, Claude reads all three.
Your team decides, every time
Claude scans, validates, triages, and drafts. Your team decides whether to merge a patch, escalate an incident, or act on a finding. Every decision stays with your team.
Deployed your way
Get started quickly with Claude Code Security or build custom security agents with the Agent SDK. Same intelligence, applied wherever your team needs it.
Built by defenders
Claude runs across Anthropic's own detection, investigation, and remediation work. Defense-first design, responsible disclosure, and what we learn protecting a frontier AI company all shape what we build.
25–50%
productivity gains across DevSecOps workflows
How security teams use Claude
Vulnerability detection and remediation
Find vulnerabilities and suggested fixes in one flow. Claude traces data flows across your full codebase, determines if a finding is exploitable, drafts a patch that follows your codebase's patterns, and opens a PR for your team to review.
- Catches logic flaws and cross-file data flow issues that pattern-matching tools miss
- Attempts to validate that a finding is exploitable before raising the flag
- Runs on Claude Code, making secure code more accessible
Threat intel enrichment
Cut manual pivot work per IOC down to minutes. Claude takes a raw indicator and queries a combination of intelligence sources, then connects infrastructure patterns to known threat groups and maps behaviors to ATT&CK techniques.
- Reasons across sources instead of matching keywords
- Decides which sources to query and follows up on what it finds
- Structured output ready for STIX/TAXII, Splunk, or your SOAR
Code review
Specialized agents examine every pull request in the context of your full codebase, catching logic errors, security vulnerabilities, broken edge cases, and subtle regressions. Findings post as inline comments with severity tags, and a verification step filters false positives before anything reaches your engineers.
- Analyzes the diff and surrounding code in parallel
- Tune what Claude flags with a
REVIEW.mdfile in your repo - Comments only: doesn't approve or block the PR, so existing workflows stay intact
Find and fix vulnerabilities
Detection, validation, and patching in one supervised flow. Claude analyzes a finding and determines if it’s exploitable before flagging it, drafts a fix that follows your codebase's patterns, and opens the PR for your team to approve.
How cybersecurity companies build using Claude
Build security products
Integrate Claude's reasoning into your security platform or product through the API and Agent SDK.
- Connect Claude to your scanning, alerting, and remediation workflows through MCP
- Spawn specialized subagents for parallel tasks like triage, severity scoring, and patch generation
- Deploy in sandboxed containers with network controls, credential isolation, and audit logging built into the SDK
“Claude consistently performed best on complex, agentic workflows, especially multi-step investigations requiring policy adherence and sustained reasoning across multiple tools.”
Anirudh Ravula, Head of AI
“The security industry has always moved too slowly compared to attackers. AI fundamentally changes the equation—it's like giving defenders a jetpack when they've been limited to walking.”
Martin Holste, CTO of Cloud & AI
"Anthropic prioritized safety and security a lot more than other LLMs... As the largest cybersecurity company, that's a big deal for us."
Gunjan Patel, Director of Engineering
Get more insights
Making frontier cybersecurity capabilities available to defenders
Threat intelligence enrichment agent
Partnering with Mozilla to improve Firefox’s security
Disrupting the first AI-orchestrated cyberattack (GTG-1002)
Evaluating and mitigating the growing risk of LLM-discovered 0-days
Experimenting with AI to defend critical infrastructure