What does MCP-native AppSec actually mean?

MCP stands for Model Context Protocol, the open standard that lets AI coding agents (Claude Code, Cursor, Windsurf, GitHub Copilot, Gemini CLI) call external tools mid-session. CybeDefend registers as an MCP server. When your agent is about to write or modify code, it calls CybeDefend's MCP tool, which runs our reachability-aware SAST, SCA, IaC, secrets and business-logic scanners against that diff in under 1.2 seconds. The agent receives the security verdict, with a fix suggestion, before it proposes the line. This is fundamentally different from post-commit SAST: security runs inside the agent loop, at creation time, not after the PR is opened. No YAML configuration, no separate CI step, no review meeting. The agent enforces your security policy the same way it enforces your code style: automatically, in the prompt, before the first save.

How is this different from a regular SAST scanner?

Legacy SAST runs on commits and floods you with 95% false positives. We run at agent-time on the diff your agent is about to ship, with reachability + framework awareness. Same engine, different surface, 1/10 of the noise.

Which AI agents are supported?

Claude Code, Cursor, Windsurf, GitHub Copilot, Gemini CLI, Cline, Continue.dev and Zed. Plus a generic MCP server for anything else that speaks MCP.

Can we self-host? What about data residency?

Yes. Self-host on the Enterprise plan (single OCI image or air-gapped tar). EU and US regions are fully isolated, you pick where your data lives. We're a French SAS based in Lille, hosted in Frankfurt for EU and Virginia for US.

Security Reviewis dead.Vibe-coding rewrote the rules.

Your AI agent ships 500 lines while you read the first 20. No human can review that. Security joins the prompt.

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The reckoning

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

A senior dev couldn’t audit 200 lines a day. Now the agent ships 5,000. You don’t need better review. You need security at creation time.

70%+

of new code at AI-native engineering orgs is AI-written today

Anysphere · Anthropic · public disclosures · 2025-2026

43%

of API vulnerabilities exploit logic, not CVEs

Wallarm · 2026 API ThreatStats

100×

the cost of a fix in production vs. at the prompt

Industry consensus · NIST 02-3

Why now

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

Every era added an order of magnitude to the code humans never read. Tooling kept the same cadence.

Step 01 · Suggest era

2023

Copilot whispers. SAST scans nightly.

Devs accept suggestions faster than reviewers can read them. AppSec runs on a tail of code humans no longer wrote. Slow, but at least 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 sneak in faster than any human can flag them, faster than any nightly job catches.

AI output: 1k+ LOC / day
Review: tooling lag
Gate: post-merge CI

Step 03 · Debt era

2026

you are here

Agent ships solo. You inherit the debt.

5,000 LOC / day across services. Logic flaws compound. The pipeline is the bottleneck and the blind spot. AppSec teams retire faster than vulns ship. You are here.

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

The foundation

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

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

Cybe indexes your codebase once into a Security Code Knowledge Graph: files, functions, calls, tenants, payment paths, every rule you already enforce. Then the agent queries it instead of grepping the diff.

Pattern-matchers scan strings after the line is written. Cybe answers from a semantic map before the line is suggested.

cybe agent · computing graph…

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

Security joins the prompt.
Not the pull request.

Everywhere your team writes and ships code, IDE, terminal, agent, pipeline. Cybe is already inside.

01 · Agents7 native

AI coding agents

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

Claude Code · Cursor · Windsurf · Cline · Zed · Google Antigravity · Continue

02 · Editors5 editors

IDEs & editors

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

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

03 · Pipelines9 engines

CI / CD & pipelines

SARIF native everywhere. Block at PR, sign the patch, audit the override.

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

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 API ThreatStats). These are the eight your scanner won’t flag, and Cybe rewrites at agent-time.

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, surfaces the patterns you already enforce, drafts them as candidates. No security engineer required.

01
Walk the graph
Cybe traverses your imports, calls, tenants, routes, every boundary you already enforce.
02
Draft candidate rules
Patterns surface as YAML-free rules with name, scope, severity, and code references.
03
Accept · edit · reject
You stay in control. Review per rule, batch-accept the ones you trust, ignore the rest.

CybeDefend Autopilot · Rule candidatesAutopilotscanning · 3 candidates3

Proposed rule01·Multi-tenancy

Every query on db.orders filters by tenantId

Found in 42 of 43 occurrences across 16 files · confidence 94% · category multi-tenancy

Gap detected·src/handlers/export.ts:17 doesn't comply

Accept ruleEdit scopeReject

Proposed rule02·Authorisation ceiling

Refunds over €500 require role finance.manager

Found in 7 of 8 occurrences across 4 files · confidence 87% · category SoD · authorisation

Gap detected·src/handlers/refund.ts:22 doesn't comply

Accept ruleEdit scopeReject

Proposed rule03·Audit logging

Every payment mutation writes audit.log(actor, amount)

Found in 31 of 34 occurrences across 11 files · confidence 91% · category compliance · audit trail

Gap detected·src/handlers/payouts.ts:54, +2 more

Accept ruleEdit scopeReject

The shift

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

Compare line for line: who they are, what they ship, and where we replace them.

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.
Six engines in one graph. SAST · SCA · IaC · Container · Secrets · 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. We then surface, on every CybeDefend plan, the hours your team gets back, the budget you stop bleeding on vulnerability triage, and the net annual gain.

ROI Calculator

Voices

Voices from teams already shipping with Cybe in the loop.

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

Olivier, Tech Lead · Koddex — OL
Olivier
Tech Lead

Geoffrey, CTO · Diag n’Grow — GE
Geoffrey
CTO

Security Reviewis dead.Vibe-coding rewrote the rules.

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