VibeDefend agent-time review
VibeDefend watches AI coding sessions and reviews prompts, diffs, and selected actions before changes reach a pull request. It is listed for Claude Code, Cursor, Windsurf, GitHub Copilot, and OpenAI Codex.
CybeDefend is a code security platform built for AI coding workflows. Its VibeDefend layer reviews agent prompts and diffs, enforces project and business rules, guards against risky actions, and combines code, dependency, secret, infrastructure, and CI/CD scanning before a pull request.
CybeDefend is a code-security platform for development teams that use AI coding agents. Its VibeDefend layer places security and business rules in the agent workflow, reviews prompts and code changes as they are made, and aims to catch problems before the pull request.
The wider platform combines agent-time review with static analysis, dependency and license checks, secret detection, infrastructure-as-code scanning, CI/CD security, and related reporting. It also provides finding correlation and verified patch workflows through Cybe Analysis and Cybe AutoFix.
VibeDefend watches AI coding sessions and reviews prompts, diffs, and selected actions before changes reach a pull request. It is listed for Claude Code, Cursor, Windsurf, GitHub Copilot, and OpenAI Codex.
The layer can bring rules from a repository into the agent context, including examples shown by the site such as tenant scoping, audit-on-write, refunds, protected paths, and security requirements.
The platform includes SAST with reachability, software composition analysis, license-risk classification, secret detection, and scanning for infrastructure written with Terraform, CloudFormation, Ansible, or Kubernetes.
The agent workflow can block risky actions such as destructive SQL, unsafe deletion, raw secret reads, suspicious package use, or attempts to expose protected data, based on the guard's judgment and applicable plan limits.
Cybe Analysis uses the code knowledge graph to rank findings by exploitability and business impact. Cybe AutoFix stages agent-applied patches, includes a regression test in the documented workflow, and supports one-click rollback.
The platform lists GitHub Actions, GitLab CI, Jenkins, and Tekton support, with additional team and scale capabilities including policies, AI-BOM or SBOM generation, OWASP and CWE reports, GRC/SIEM export, and report retention.
A developer can let an AI agent implement an endpoint or feature while VibeDefend checks the edited diff for issues such as SQL injection, vulnerable dependencies, exposed keys, or personal data in logs before the change is proposed for review.
Teams with rules that generic scanners may not know—such as tenant isolation, audit logging, refund authorization, or protected data paths—can have those rules added to the agent's working context and checked against generated changes.
When an agent runs commands or uses connected tools, the action guard can stop examples such as destructive database statements, deletion outside an approved project area, raw secret access, or an attempt to publish sensitive content.
Engineering or platform teams can connect repository and CI/CD workflows, correlate findings across tools, and use policies, reports, SBOM or AI-BOM outputs, and team access controls where their plan includes those capabilities.
The site lists Claude Code, Cursor, Windsurf, GitHub Copilot, and OpenAI Codex. The documented installation command is intended to detect these agents on a developer machine.
VibeDefend checks the agent workflow as code is being written, including prompts and diffs, before a pull request. Separate scanners can also run through repository and CI/CD workflows.
Yes. The product describes mining rules from the repository and injecting business and security rules into the agent context. Examples include tenant scoping, audit-on-write, refund authorization, and protected paths.
The pricing page lists a free plan with 10 static scans and 50 AI credits, access to the whole platform, no card requirement, and no time limit. Paid plans add higher limits and additional team capabilities.
The listed plans are Free, Developer, Team, Scale, and Enterprise. The Developer plan is shown at $19 per month when billed yearly; Enterprise uses a custom quote, and the site also presents monthly billing and plan-specific limits.
prelint.com
Prelint reviews pull requests against product specs and decision rules to catch drift, contradictions, and misalignment before changes ship. Built for teams that keep product context in the repo and want an audit trail for every review.
omlx.ai
oMLX is a native macOS LLM inference server built on MLX for running compatible language, vision-language, embedding, and reranker models locally on Apple Silicon. Designed for coding-agent workflows, it works with Claude Code, OpenClaw, Cursor, and OpenAI-compatible clients.
koreshield.ai
Koreshield is a runtime security and evidence layer for AI support workflows. It checks customer input, retrieved context, and proposed tool actions before they become trusted model behavior or operational actions.
promptic.eu
Promptic is a GenAI optimization platform for evaluating models, improving prompts and agents, and selecting configurations against business metrics. It combines OpenTelemetry-based tracing with datasets, benchmarks, and optimization workflows for teams building AI applications.
viberaven.dev
VibeRaven scans AI-built repos for production gaps across auth, billing, databases, deployment, monitoring, and tests, then prompts a coding agent.
zeropath.com
ZeroPath is an AI-native application security platform that helps engineering and security teams find and fix code, dependency, and secrets issues in development workflows.