Pi Security is a commercial ASPM platform for turning existing vulnerability history into triage, remediation, and prevention workflows. It connects code with past incidents, pentest reports, and tickets.
The platform calls this shared context “institutional security memory.” Pi uses it to find the architectural source of a vulnerability, locate related variants, and prepare fixes that match the codebase.

What is Pi Security?
Pi is organized around a four-part workflow: ingest, analyze, remediate, and enforce. Its public product page describes each stage but does not provide a public technical documentation portal.
The inventory holds repositories and application threat models alongside ownership and finding counts. Past reports remain available as context instead of being treated as isolated tickets.
Key features
| Feature | What Pi does |
|---|---|
| Security memory | Indexes code, incidents, pentest reports, and tickets |
| Root-cause analysis | Traces a finding to its architectural source |
| Variant hunting | Searches the organization for related vulnerability patterns |
| Contextual remediation | Prepares fixes for the affected codebase and its conventions |
| Prevention guardrails | Applies previous lessons during design, coding, and pull requests |
| Sloane assistant | Answers questions using the organization’s indexed security context |
Root-cause analysis and variant hunting
Pi groups related findings around a root cause. Its product interface shows a confirmed IDOR issue linked to five variants across payment, billing, payout, invoice, and webhook services.

Remediation in developer workflows
The platform prepares a contextual fix and routes it back to developers. Pi’s interface shows a remediation flow with a pull request and a draft Slack notification for the code owner.

The public site says fixes account for the repository’s language, architecture, and conventions. It does not publish details about supported languages, source-control systems, or deployment models.
Prevention guardrails
Resolved findings can become guardrails in design, IDE, and pull-request workflows. The goal is to stop a known insecure pattern when similar code is introduced again.
This is different from a scanner rule catalog. Pi’s description starts with the organization’s own findings and converts what it learned into future controls.
How Pi fits an AppSec stack
Pi is not presented as a replacement for every scanner. Its public materials focus on ingesting security history, correlating findings with code, and carrying remediation context into development.
That makes it closer to an AppSec operations and remediation layer than a point scanner. Teams still need evidence that their existing finding sources and development systems are supported during evaluation.
Related platforms take different routes. Jit bundles its own scanners, while Cycode combines posture management with software supply-chain controls.
When to use Pi
Pi fits teams that already have a large history of findings but keep rediscovering the same vulnerability patterns. Its value depends on connecting that history to repositories and developer workflows.