Plexicus TUI

Security findings, right in your terminal.

Browse findings, review AI remediation, and open pull requests in the Plexicus terminal interface.

Recorded demo

See the TUI in action

This recording comes from the Plexicus TUI repository and runs with mock data. It shows the interface, not a live scan.

Original recording from the public Plexicus TUI repository, captured in mock mode (MOCK_PLEXICUS=1). View source recording

Text description of the recording
  1. The Plexicus terminal interface opens a mock finding about unsafe YAML deserialization and displays affected code.
  2. AI remediation runs, then a diff shows YAML.load changed to YAML.safe_load. A progress panel reports completion.
  3. The mock interface displays a pull request confirmation, then returns to the findings list. The finding names, metrics, and pull request shown are fixture data.

Get started

The example below is for macOS Apple Silicon. GitHub Releases also lists macOS Intel and Linux x86-64 binaries.

01

Install

Download the binary for your platform from GitHub Releases.

curl -fsSL https://github.com/plexicus/tui/releases/latest/download/plexicus-darwin-arm64 -o plexicus
chmod +x plexicus
sudo mv plexicus /usr/local/bin/
plexicus --version
02

Authenticate

Sign in through your browser. On first launch, the setup wizard asks for your Plexicus server URL.

plexicus login
03

Review findings

Open the TUI to browse findings and connected repositories. Use F for filters, / for search, and Enter for details.

plexicus
04

Review remediation

Select a finding and press r to request AI remediation. Review the diff, then press p to create a pull request.

In the TUI:rreview diffp

Documentation and source

Find the full command reference, keyboard shortcuts, configuration, and source code in the public repository.

View on GitHub →
PLEXICUS TUI

Ready to validate what matters?

Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.

Qualification

Check whether AI Swarm Pentest fits your environment.

Share the minimum context. We will review the scope and tell you the next commercial step.

Before submitting — verify you fit

0 / 280

No commitment. If you don't fit, we'll tell you.

SAMPLE HANDOVER · ILLUSTRATIVE

Sample evidence handover

A trimmed view of what your team receives at the end of an AI Swarm Pentest engagement. Real engagements include full technical evidence, executive narrative, and a remediation plan.

VALIDATED FINDING Evidence attached

Server-Side Request Forgery in webhooks/receiver

demo-project/sample-app · src/webhooks/receiver.py:42

SeverityHigh CVSS 3.18.6 Priority79 Confirmedvia replay

Untrusted caller-supplied URLs reach an internal egress without an allowlist. Replayed in a sandbox against a fresh authorized target — the same control was validated to fail twice.

REVIEWER-READY REMEDIATION Merge-ready PR

Validate the target URL against an allowlist of permitted hostnames. Reject private/internal IP ranges. Enforce HTTPS only.

plexicus/remediation/webhooks-ssrf 3 changed · 0 new files
42resp = requests.get(target_url)
42+if not is_allowed_host(target_url):
43+  raise WebhookRejected(target_url)
44+resp = requests.get(target_url, timeout=5)
Every engagement hands over:
  • Executive briefing
  • Validated findings list
  • Merge-ready PRs
  • Compliance mapping (NIS2 · DORA · CRA)
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