8 IDEs
Native integrations
+ MCP for the rest
Product · Cybe Security Champion
Talk to your repo. Ship the safe version.
Ask the Champion anything. Vulnerabilities, fixes, threat models, OWASP. It reads your knowledge graph and answers in context, in the IDE you already use.
Native in
you
What are the top 3 risks in /api/auth this month?
Cybe ChampionCWE-352 · A01
Reading your knowledge graph…
- Session: rotates SID on login. Solid.
- CSRF: no double-submit on POST /api/login.
- Refresh token persisted in localStorage on the SPA.
24/7
Security expert availability
no calendar, no queue
0 setup
From install to first review
auth via SSO
Why the human-only model breaks
Five reasons the security champion role doesn't scale anymore
Every fast-shipping team has tried it. Few keep it past year two. The role itself is sound. The operating model isn't.
Limited availability
One champion per squad. They sleep, they take leave, they ship their own roadmap. Reviews queue up while features ship anyway.
Knowledge bottleneck
Tribal context lives in one head. When that person is in a meeting, the rest of the team blocks. Or worse, ships and hopes.
Doesn't scale with the org
Five new repos this quarter. Two new squads next quarter. Champion count: still one. The math stops working very fast.
Inconsistent coverage
Junior dev gets 30 min of careful review. Senior dev's PR gets a thumbs-up at 6pm Friday. Same risk policy, very different outcome.
Knowledge walks out the door
Champion changes role, leaves the company, or just burns out. Two years of accumulated context goes with them.
Reactive, not preventive
Findings land at PR time, not at code-write time. The fix is 10× more expensive once the dev has moved on to the next ticket.
Old playbook vs agent-time
The traditional security champion and how Cybe rewrites it.
Same role, same outcomes. Different operating model. The champion is no longer one person. It's an always-on expert that works at the speed of the agent.
Traditional Champion
Cybe Security Champion
Availability
One person per squad, working hours, on holidays half the year.
Always on. Replies in the IDE in under a second, every timezone.
Context window
Reads the diff, vaguely remembers the rest of the repo.
Reads the full code knowledge graph: every taint flow, every owner, every dependency.
Coverage
Reviews the PRs they're tagged on. The rest ships unreviewed.
Reviews every diff, in every repo, every time. No selection bias.
Consistency
Tone, depth, and rigor depend on mood and Friday-afternoon factor.
Same review template, same severity bar, same verdict. Auditable.
Knowledge transfer
Walks out the door when the person changes team or company.
Every fix becomes a reusable rule. The knowledge graph grows with the org.
Cost per repo
Linear: each new squad needs another champion (you'll find one in 6 months).
Flat: one platform covers 5 repos or 500. Onboarding is an SSO click.
Your personal AppSec engineer
Like having a senior security engineer embedded in every project.
Not a generic chatbot. The Champion knows your repo, your stack, your past decisions, and your team's policy. It answers in your IDE before you context-switch.
24/7
Always-on consultation
Ask in the IDE, get a contextual answer in under a second. No queue, no escalation.
100%
Project-aware reviews
Reads the code knowledge graph: every call site, every taint flow, every framework convention you use.
+1×
Compounding learning
Every accepted fix becomes a reusable rule. The Champion gets sharper with each PR your team ships.
Transform your security culture
From training calendar to learning by doing.
Annual OWASP workshops don't move the needle. Inline explanations on every PR do. The Champion teaches at the moment the bug is born. Not in a quarterly review.
Every dev gets the senior treatment
Plain-English rationale on every finding, OWASP/CWE references one click away. Junior or staff, same depth, same patience.
Security context inside the loop
No more 'wait for the security team to weigh in'. The Champion answers in the IDE, with a working fix, before the dev moves on.
Lessons land in the editor, not in a calendar invite
The 'why' is explained inline, with a working example, the moment the dev would have shipped the bug. No quarterly workshop catches up to that timing.
What you get
Already live in Cybe Champion.
Not AI bolted onto a 2015 SAST. The operating model that fits an agent-time codebase: rules mined from your code, insights surfaced before the bug, fixes the agent applies.
01
Agent rulesCustom rules, mined from your code
The Champion reads your repo and proposes the rules that match your conventions. Zero YAML, zero maintenance.
02
AppSec insightsRisk surfaced before the PR
Hot spots, drifting controls, missing tests. The Champion flags them in the IDE while the code is being written.
03
Auto-remediation hintsPatch suggestions the agent can apply
Every finding ships with a working fix the agent can stage. One-click PRs, signed by your bot, gated by your CI.
04
Knowledge graphOrg-wide security intelligence
Every accepted fix and every confirmed verdict feeds the graph. The org builds compounding security IP, not a stack of policies.
Enterprise-grade
Security and privacy, engineered in.
Built in France, for the EU. Self-hosted Mistral models, no third-party LLM dependency, EU + US data regions, on-premise / air-gapped deployment available.
EU + US data regions
Your code stays in your region. EU customers run on EU infrastructure end-to-end, US on US.
No training on your code
Models are self-hosted. Customer code is never used to train shared models. Ever.
On-premise & air-gapped
Regulated industries can pin the entire stack inside their own infrastructure. The same Champion runs in your VPC or fully air-gapped, with bundled Mistral weights, no outbound calls.
FAQ
What teams ask before they install
Does Cybe Security Champion replace our human security team?
No. It replaces the bottleneck the human team has become. Champion handles the per-PR review, the in-IDE 'is this safe?' question, the OWASP explanation. The security team focuses on architecture, threat modelling, incident response. The work that needs human judgement.
How is this different from GitHub Copilot or generic AI coding assistants?
Copilot writes code. The Champion is the senior engineer who reviews it. It reads your code knowledge graph (taint flows, owners, framework conventions) instead of guessing from a generic LLM. Same prompt, very different answer.
Which IDEs and agents are supported?
Native plugins: VS Code, Cursor, Windsurf, JetBrains, Antigravity. Native MCP server: Claude Code, Gemini CLI, Cline, Continue.dev, Zed. Generic MCP for everything else. One install per dev, one license per team.
Will Cybe ever train models on our code?
Never. Models are self-hosted, weights are owned by CybeDefend, and your code is processed in your tenant only. No customer code is used to train shared models. That's a contractual commitment, not a setting.
How long until our team is up and running?
Under 5 minutes for the first dev. SSO sign-in, install the IDE plugin, point it at the repo. The Champion produces its first contextual review on the next save. No YAML, no playbooks to write.
Get started
Install free in your IDE. First scan in 5 minutes.
No credit card. No setup call. Pick your agent, paste the command, and Cybe enforces your rules from the very next prompt.
Region
claude mcp add cybedefend --transport http https://mcp-eu.cybedefend.com/mcpHosted MCP, no install. Just register the URL with your agent.