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AutoFix, Analysis, business-logic research, policies, reports, IDE integrations. The whole platform, in under four minutes.

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La French TechGoogle for StartupsBpifranceEuraTechnologiesCRIStALScalewayCyber Campus de LilleHodéfi
The reckoning

The problem isn’t that AI writes code. It’s that no one can read it anymore.

Your best reviewer reads 200 lines a day. Your agent ships 5,000. You don’t need better review. You need security at creation time.

70%+

of new code at AI-native companies is written by AI

Anysphere · Anthropic · public disclosures · 2025-2026

43%

of API vulnerabilities exploit logic, not CVEs

Wallarm · 2026 API ThreatStats

100×

to fix in production vs. at the prompt

Industry consensus · NIST 02-3

Why now

Three years. Three paradigms. Your AppSec stack stayed in 2023.

Each era grew the pile of unread code tenfold. The tooling never moved.

Step 01 - Suggest era
2023

Copilot whispers. SAST scans nightly.

Devs accept suggestions faster than reviewers can read them. AppSec is scanning code no human wrote. Slow, but still auditable.

AI output
lines / day
Review
human
Gate
nightly CI
Step 02 - Act era
2025

Agents drive. Reviewers lag.

Cursor, Claude Code, Windsurf write whole features. SAST still bolted onto CI. Logic flaws land faster than anyone can flag them.

AI output
1k+ LOC / day
Review
tooling lag
Gate
post-merge CI
Step 03 - Debt era
2026
you are here

Agents ship solo. You inherit the debt.

5,000 LOC / day across services. Logic flaws compound. The pipeline is the bottleneck and the blind spot. The backlog grows faster than any team can clear it. You are here.

AI output
5k LOC / day
Review
Agent-time
Gate
in the prompt

Security Code Knowledge Graph, mapped codebase service components: auth.mw.ts (entry point), transfers.ts (entry point), account.repo.ts (data store), payouts.ts (core service, 156 files, 98 functions, 218 edges, 42 security rules enforced), queue.ts (guard), ledger.ts (data store), policy.ts (policy enforcer), riskReview.ts (policy enforcer). Graph edges: auth middleware → payouts, transfers → payouts, payouts → account repository, payouts → riskReview, account repository → ledger, riskReview → queue, riskReview → policy, payouts → policy.

The foundation

Scanners chase patterns.
We mapped your business
into a graph.

paradigm reversedScannersPattern-matchers. Reactive. Run after the fact.VibeDefendKnowledge graph. Pre-built. Queried before the line.

VibeDefend indexes your codebase once into a Security Code Knowledge Graph: files, functions, tenants, payment paths, the rules you already enforce. The agent queries the map instead of grepping the diff.

Scanners match strings after the fact. VibeDefend answers before the line is suggested.

cybe agent · computing graph…
auth.mw.ts129|39transfers.ts459|39account.repo.ts14|209payouts.ts23CORE SERVICE268|198queue.ts564|209ledger.ts129|379policy.ts294|379riskReview.ts459|379
service-core service
payouts.ts
agent note

Service module. Owns the business rules for moving money: validation, ledger update, risk side-effects. The graph routes most queries through here, touching it triggers the strictest rule pack.

transactional writesrisk hook requiredno shortcut paths
called by
calls
files
156
functions
98
edges
218
rules
42
Shift-left, by default

Vibe-coding rewrote the rules.Not the pull request.

Agent, IDE, pipeline: wherever your team ships code, VibeDefend is already inside.

01 · Agents10 native

AI coding agents

VibeDefend runs as an MCP server inside the agent loop. Verdict before the line is suggested.

  • Claude Code
  • Cursor
  • Windsurf
  • GitHub Copilot
  • OpenAI Codex
  • Google Gemini

Claude Code - Cursor - Windsurf - GitHub Copilot - OpenAI Codex - Google Gemini - Cline - Continue - Zed - Google Antigravity

02 · Editors5 editors

IDEs & editors

VS Code, Cursor, Windsurf, JetBrains, Antigravity. Inline diff review, sub-100 ms verdict.

  • Visual Studio Code
  • Cursor
  • Windsurf
  • JetBrains

Visual Studio Code - Cursor - Windsurf - Google Antigravity - JetBrains

03 · Pipelines9 engines

CI / CD & pipelines

SARIF-native in every CI. Block the PR, sign the patch, audit the override.

  • GitHub
  • GitLab
  • Azure Pipelines
  • Jenkins
  • Azure DevOps
  • Bitbucket
  • CircleCI

GitHub - GitLab - Azure Pipelines - Jenkins - Azure DevOps - Bitbucket - CircleCI - TeamCity - Atlassian Bamboo

Eight logic flaws AI agents introduce that legacy scanners never flag, with CybeDefend agent-time fixes:

  • CWE-639 Multi-tenant data leak, missing tenant isolation in DB query. Caught at agent-time by Claude Code, fixed by adding tenantId filter.
  • CWE-840 Refund bypass, no ownership or amount validation on refund endpoint. Caught at agent-time by Cursor, fixed with role guard and amount clamp.
  • CWE-837 Missing idempotency, Stripe webhook processed multiple times. Caught at agent-time by Windsurf, fixed with idempotency-key deduplication.
  • CWE-532 PII in logs, raw request body logged including email. Caught at agent-time by Copilot, fixed by hashing email and retaining only safe fields.
  • CWE-306 Missing authentication, admin route mounted without auth middleware. Caught at agent-time by Cline, fixed by moving route to auth-guarded router.
  • CWE-1188 Insecure default, feature flag defaults to allow export for anyone. Caught at agent-time by Continue, fixed with explicit admin role check.
  • CWE-307 Missing rate limit, login endpoint has no brute-force protection. Caught at agent-time by Gemini, fixed with rate limiter keyed by IP and email.
  • CWE-285 Missing authorisation scope, admin export returns all tenants. Caught at agent-time by Zed, fixed with tenantId scoping and audit log.
What scanners never see

Eight flaws only the agent can catch. Killed before the first save.

43% of API vulnerabilities exploit business logic, not CVEs (Wallarm, 2026). These eight never trip a scanner. VibeDefend rewrites them in the prompt.

Click any card to see the diff

Autopilot

Zero YAML. Your rules, mined from your own code.

But who writes all these rules? We do. Autopilot reads your graph and drafts the rules you already follow as candidates. No security engineer required.

  1. 01
    Walk the graph

    It walks your imports, calls, tenants and routes, every boundary you already enforce.

  2. 02
    Draft candidate rules

    Patterns surface as YAML-free rules with name, scope, severity, and code references.

  3. 03
    Accept · edit · reject

    You stay in control. Review per rule, batch-accept the ones you trust, ignore the rest.

The shift

The 2010s AppSec stack was never built for a world where AI writes half the code.

Line for line: what the legacy stack does, and where one agent-time layer replaces it.

2010s · The legacy stack

Built for a world where humans wrote the code.

  • Reads syntax (Checkmarx, Sonar). Blind to intent, blind to business logic.

  • Up to 99% false-positive rate. 21,000 engineering hours burned per year.

  • Per-seat pricing (up to $15k/user/year at Veracode). Growth-taxed.

  • Blind to AI agents. Nothing between the prompt and the PR.

  • Runs in CI, after the fact. Devs see findings hours later.

  • Six or seven vendors, six or seven dashboards, six or seven invoices.

  • Generic advice. No idea what your codebase actually does.

2026 · The CybeDefend way

Agent-time AppSec. One layer. In the prompt.

  • Reads intent. Tenant leaks, refund bypass, PII, idempotency, SoD violations, the logic flaws syntax scanners miss.

  • 95% of noise filtered. Reachability scoring on the graph, not blind line-by-line.

  • One flat subscription. Not per seat, not per repo. Whole company inside.

  • Every engine in one graph. AI-BOM · SAST · SCA · Secrets · License · IaC · Container · CI/CD · Business-Logic.

  • Lives inside every AI agent. Claude Code, Cursor, Copilot, one semantic layer across all.

  • Runs in the IDE. Cleared before the PR is opened.

  • Knows your codebase. Your rules, your tenants, your business, encoded in the graph.

ROI Calculator

Your team. Your code. Your ROI in 30 seconds.

Five questions. See the hours your team gets back, the triage budget you stop burning, and the net annual gain on every plan.

ROI Calculator
Voices

Voices from teams already shipping with VibeDefend in the loop.

Two early customers, two different stacks, same outcome: more time shipping, fewer alerts to triage.

With CybeDefend’s MCP, vulnerability analysis and remediation have become significantly faster and more efficient. We save valuable time every day, which we can redirect toward higher-value activities.
Olivier, Tech Lead - KoddexOL
Olivier
Tech Lead
Koddex
CybeDefend secures our projects by detecting and fixing vulnerabilities (in code and dependencies). It saves time and enhances security thanks to seamless integration with our AI tools and generates fewer false positives than the competition!
Geoffrey, CTO - Diag n’GrowGE
Geoffrey
CTO
Diag n’Grow
Live · just shipped

Install VibeDefend in 5 seconds.

One command wires every coding agent on your machine to CybeDefend: your business rules, your compliance frameworks, and guards that block destructive calls before they fire.

Install in 5 secondsNode 18.17+
npx -y @cybedefend/vibedefend@latest install
Auto-detects
  • Claude CodeClaude Code
  • CursorCursor
  • OpenAI CodexOpenAI Codex
  • WindsurfWindsurf
  • GitHub CopilotVS Code Copilot
Read the README on npm