- Brand
- Pi Security
- Category
- Security
- Primary Subcategory
- Application Security & Vulnerability Management
Integration details
Description
Pi Security helps users investigate security findings, review threat-model, Code Gatekeeper, and software-dependency posture, retrieve remediation and secure-development guidance, and take confirmed actions such as starting reviews, importing reports, updating issue state, and creating remediation pull requests.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Application Security & Vulnerability Management
- Secondary Subcategories
- None listed
- Brand
- Pi Security
- Access
- Account required
- First tracked
- 2026-10-09
- Tool count
- 42
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Your score is coming
ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.
What discovery looks like

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Competing in ChatGPT Application Security & Vulnerability Management
View Category42 tools agents can invoke
Pi Security ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Pi Security's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Pi Security alternatives on ChatGPT?
As of 2026-10-09, Pi Security competes with Codex Security Access, Codex Security Cloud, Fingerprint, FlawPilot, NPMScan, Orca Security, Safeguard, Strix and 1 more in ChatGPT Application Security & Vulnerability Management, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.