Affected flow
Plexicus traces the affected code path so engineers see what the finding touches — endpoints, parameters, and the business logic that depends on them.
Understand the path behind every finding.
Deep Code Analysis connects code, data flow, and business impact so your team can focus on findings that matter.
OUTCOMES
- Per finding Reviewable context code flow, impact, and reviewable evidence attached
- 12 Languages JS, TS, Python, Go, Java, Rust, Ruby, PHP, C#, Swift, Kotlin, Scala
- OWASP Standards findings ranked against the canonical Top 10
- Ready Handover context and suggested changes your team can review
BUILT FOR AI-ASSISTED DEVELOPMENT
Secures every line your AI coding assistant writes
Works with
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Cursor -
Claude Code -
Copilot -
Windsurf -
Devin -
Replit -
Zed -
VS Code -
JetBrains (coming)
EU-GRADE COMPLIANCE
Aligned with
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SOC 2 Type II -
CPSTIC pathway -
NIS2 -
DORA Art. 28 -
CRA -
EU AI Act -
EU data residency
BEYOND SAST AND LLM REVIEW
A pattern is not the full picture.
SAST can flag a pattern. An LLM can explain code. Neither establishes how a weakness affects the application. Plexicus brings the affected flow, business impact, and remediation context into one reviewer-ready finding.
Business impact
Every finding is bound to the data it can reach, the role that can trigger it, and the impact your team has to plan remediation against.
Reviewable evidence
Engineers see why the finding matters, where it sits in the code, and the suggested change to remediate it — all attached to the same finding, ready for review.
Reviewer-ready handover
Remediation context travels with the finding. Suggested changes arrive with the data flow, the impact, and the rationale your reviewer needs to merge or reject with confidence.
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Validated findings against the relevant application context. -
Priority findings include supporting evidence for review. -
Recommended next steps are attached for remediation handover.
PAIRS WITH AI SWARM PENTEST
Two passes. One ground truth.
Deep Code Analysis adds the relevant context. AI Swarm Pentest validates the highest-priority findings. Together they give reviewers a clear route from signal to evidence.
See the AI Swarm Pentest- STEP 1 Deep Analysis attaches the relevant context
- STEP 2 AI Swarm Pentest validates priority paths
- STEP 3 Reviewers see the evidence and scope
- STEP 4 Teams receive an actionable handover
REVIEWABLE EVIDENCE
Every finding carries what your reviewer needs
Affected flow Endpoint · parameter · the business logic that depends on it
Reach The data it can reach · the role that can trigger it
Weakness class Bound to the canonical advisory database (CWE)
Suggested change Context, impact, and rationale attached for your reviewer
Handover Reviewer-ready · merge or reject with evidence
DEEP CODE ANALYSIS
Ready to validate what matters?
Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.