Agent-time security review
VibeDefend puts mined business rules and security rules into supported AI coding-agent context, then reviews prompts, diffs, and agent actions before code reaches a pull request.
CybeDefend
CybeDefend is an application and AI code-security platform for teams using AI coding agents. It brings business rules, security scans, and action controls into agent workflows to identify and remediate issues before a pull request.
AI code security inside the development workflow
CybeDefend is an application and AI code-security platform for teams using AI coding agents. Its VibeDefend security layer runs in the agent workflow, bringing repository-derived business rules and security policies into the context of code generation and review.
The platform scans code, dependencies, secrets, infrastructure, containers, licenses, and CI/CD configuration, while also checking agent actions such as shell commands and MCP tool activity. It is designed to identify issues before a pull request and can stage fixes within the same session.
Key features
Verified remediation
Cybe AutoFix generates verified patches, includes a regression test, stages the change for review, and supports one-click rollback.
Contextual finding triage
Cybe Analysis uses the code knowledge graph to rank findings by exploitability and business impact. The platform assigns a priority score using CVSS 4.0, EPSS, exploitability, and business context.
Broad code and infrastructure coverage
The platform combines SAST, SCA, secret detection, IaC, CI/CD, license, and container scanning with engines and tools including Opengrep, Trivy, Syft, OSV, Gitleaks, KICS, and Checkov.
Business-logic analysis
Business rules are mined from the repository rather than requiring hand-written YAML. BLSA targets issues such as refund bypasses, tenant cross-talk, PII leaks, and idempotency problems.
Team reporting and exports
Findings and fixes are available in a team dashboard, with SARIF export, executive PDF reports, per-team dashboards, and data regions in the EU and US.
Practical use cases
Review AI-generated code before review
A developer can install VibeDefend with one command and have security checks run in the same session as Claude Code, Cursor, Windsurf, GitHub Copilot, or OpenAI Codex. Findings can be addressed before opening a pull request.
Enforce application-specific rules
A security or platform team can encode repository-derived rules such as tenant scoping, audit-on-write, protected paths, or no-destructive-SQL expectations into agent context, reducing reliance on a separate rules file.
Prioritize findings across repositories
Teams can use Cybe Analysis and the code knowledge graph to prioritize vulnerabilities by reachability, exploitability, and business impact instead of treating every scanner result identically.
Control agent and tool actions
Engineering teams can guard shell commands and MCP activity against destructive operations, secret exposure, malicious packages, unsafe file access, and other risky agent actions.
Coordinate security reporting
Security and compliance teams can use dashboards, SARIF, executive PDF reports, scanner-specific outputs, and GRC or SIEM export capabilities to share results across development and governance workflows.
Pros and Cons
Pros
- Checks AI-generated code and agent actions before the pull request rather than relying only on a later pipeline scan.
- Connects technical findings with repository-derived business rules and business context, including business-logic security analysis.
- Provides remediation in the same agent session through verified patches, regression tests, and staged changes.
- Covers multiple security domains, including code, dependencies, secrets, IaC, CI/CD, containers, licenses, and MCP activity.
- Offers team-oriented dashboards, SARIF and PDF reporting, EU and US data regions, and enterprise private deployment options.
Cons
- Several advanced capabilities, including container security, REST API access, integrations beyond GitHub and GitLab, SBOMs, security policies, and BLSA, depend on higher-tier plans or early access.
- The platform combines its own engines with third-party and open-source scanners, so teams may need to review the resulting policies, findings, and remediation workflow during adoption.
- AI-credit usage applies to Cybe AutoFix and BLSA analyses, while static scans use a separate allowance.
FAQ
How can I try CybeDefend before paying?
CybeDefend can be tried on real code with 50 AI credits and 10 static scans, without a card or time limit. Static scans cover SAST, SCA, IaC, and secret detection; paid plans provide unlimited static scans.
Which coding agents and development environments does CybeDefend support?
The VibeDefend installation command detects Claude Code, Cursor, Windsurf, GitHub Copilot, and OpenAI Codex on the machine. The platform also lists IDE integrations for VS Code, Cursor, Windsurf, JetBrains, and Antigravity, plus MCP support for Claude Code, Gemini CLI, Cline, Continue, and Zed.
How does CybeDefend fit into an AI coding workflow?
VibeDefend places business and security context in the agent session and reviews prompts, diffs, and risky actions before the pull request or command execution. Findings can include code, dependency, secret, infrastructure, and CI/CD issues, with fixes staged in the same workflow.
What do CybeDefend AI credits cover?
Static scans do not use AI credits. Credits are used for Cybe AutoFix patch generation and BLSA business-logic analyses.
Where can CybeDefend store or deploy data?
Accounts use either the EU or US CybeDefend region selected at signup. Enterprise customers can use a private VPC or on-premise deployment, subject to the applicable plan and quote.
Quick Facts
- Category
- Developer tool; application security
- Primary users
- Developers, platform teams, and security teams using AI coding agents
- Agent-time layer
- VibeDefend
- Core workflow
- Review prompts, diffs, and risky actions before the pull request or command execution
- Starting access
- Free tier with 50 AI credits and 10 static scans; no card or time limit
- Paid entry point
- Developer plan from €19 per month, with monthly or annual billing options
Альтернативы CybeDefend
ByteAsk
ByteAsk is a terminal-first AI coding agent for C and C++ that edits repositories and verifies changes with the real compiler, debugger, sanitizers, and tests before showing a diff. It offers a free tier plus paid plans, with editor connectors and zero-retention handling described in the source.
CreateOS Sandbox
CreateOS Sandbox is an isolated compute environment for running code and agent workloads inside Firecracker micro-VMs. It is designed for workflows that need machine-level isolation, private networking between sandboxes, and programmatic control through SDK, CLI, or MCP.
GitBot
GitBot is a local browser-based workspace for creating reusable coding bots powered by Claude Code, Codex, or OpenCode. It helps developers run those agents across repository folders with persistent threads and configurable permissions.
hob
hob is an independent workspace for coding agents that keeps agent sessions, terminals, history, and follow-up work organized around the tools and providers you already use. It is aimed at developers who want local control over routing, history, and workspace structure rather than a bundled model stack.
Ably Chat
Ably Chat is a chat API platform for building custom realtime chat applications. It supports room-based messaging, typing indicators, presence, reactions, and message updates, with usage-based pricing options for different deployment stages.
Manta AI
Manta AI is an autonomous web app testing tool for teams that want to map application behavior, catch regressions, and generate tests without writing scripts or maintaining selectors. It works from a URL and supports plain-English test flows, run results with screenshots, and scheduled or deployment-triggered checks.