A security tool that lives in MCP
Add one MCP server to the AI IDE your team already uses. Hi AUDIT Agent keeps detectors and CVE databases current, so you never maintain scanners, rule packs, or vuln feeds yourself.
Compare other optionsFrom your everyday chat,
to a security review.
INTERACTIVE DEMO
Try it with sample data
Check this API for security issues.
Hi AUDIT Agent
Follow the flow from input to database, then identify risks and possible fixes.
Target:sample-project / src/api/orders.ts
Add the MCP server once. Stop updating tools.
Connect Hi AUDIT Agent to your IDE. Detectors and CVE data stay current on our side. You never refresh a scanner.
Add the MCP server
Create or sign in to an account, open Projects, and follow the installation guide in your account to connect Hi AUDIT Agent to your editor.
Scan from chat
Ask for a security pass in plain language. The MCP server runs analysis without leaving your editor.
Match the latest databases
Every run uses the latest CVE feeds and vulnerability databases. No local rule-pack updates.
Fix in place
Apply suggested remediations and generate the report. Your tooling stays current without you.
One MCP server. Your whole stack.
Hi AUDIT Agent integrates with the AI coding tools and editors you already use. The MCP server manages the tools for you.
Where does Hi AUDIT Agent fit?
Models, review commands, security agents, and scanners solve different parts of the job. Compare what you want to review, how findings are validated, and what your team needs to maintain.
How is this different from using Mythos alone?
Claude Mythos is a foundation model with strong cybersecurity capabilities. When building an audit directly on a model API, you also design the workflow around it: code access, tools, validation, and result handling.
Hi AUDIT Agent provides a security harness and maintained detection rules and vulnerability databases as a service, accessed through MCP from your usual AI coding tools. The choice is about how much of the audit workflow you want to assemble and maintain, as well as the model itself.
Compare a model's capabilities and the service around the audit separately. Available models depend on the Hi AUDIT Agent plan and offering.
How is this different from Claude Code's /security-review?
Claude Code's /security-review checks pending code changes for security issues, and you can then ask Claude to implement fixes. It is a review command inside Claude Code.
Hi AUDIT Agent connects an external audit service through MCP to supported clients such as Cursor, Claude Code, and Codex. Its security harness, detection rules, and vulnerability databases are maintained on the service side.
Choose around your workflow: review a change in Claude Code, or use a maintained audit service across supported AI coding environments.
How is this different from Codex Security Cloud?
Codex Security Cloud scans connected GitHub repositories once or monitors new commits. It builds repository context, attempts to validate likely vulnerabilities in an isolated environment, and provides findings and available fixes for review.
Hi AUDIT Agent centers on requesting an audit from the AI coding environment you already use through MCP, then reviewing the evidence and suggested fixes in your development flow. Max and higher plans also offer model selection and orchestration with more AI models.
Consider repository monitoring and cloud-managed findings alongside the on-demand audit workflow you want in your editor.
How is this different from OpenAI Daybreak?
Daybreak Blue and Red are approved access programs for authorized cybersecurity work with OpenAI models. Organization approval, project access, and model permissions determine what is available.
Hi AUDIT Agent is an audit service that brings a security workflow, maintained rules, and vulnerability databases into supported AI coding tools through MCP. Access to a model and operating an audit service are separate parts of the decision.
Evaluate model access requirements and the audit workflow separately. Hi AUDIT Agent availability does not itself establish Daybreak approval or access.
How is this different from other security agents?
Security agents serve different purposes, including cloud asset risk management, continuous repository scanning, and authorized attack testing. Their execution environments, integrations, and validation methods vary by service.
Hi AUDIT Agent focuses on reviewing code and configuration from your usual AI coding workflow through MCP. Other products also offer MCP integration or multiple-model workflows, so those features alone do not distinguish the options.
Check whether you need cloud-wide asset management, integration with your existing management systems, authorized attack testing, or code and configuration review during development.
How is this different from security scanning tools?
Security tools can specialize in static code analysis, dependency vulnerability checks, or infrastructure configuration checks. Supported languages, detection methods, and setup and maintenance requirements vary by tool.
Hi AUDIT Agent offers an audit workflow through MCP, with detection rules and vulnerability databases maintained as part of the service. Compare the specific checks, evidence, integration, and maintenance responsibilities you need; existing scanners can remain part of your security process.
Choose by coverage and operating needs. A specialized scanner and a conversational audit service can serve complementary roles.
Features and access depend on each provider's plan and environment. These comparisons describe workflows; accuracy, speed, and cost require evaluation under the same conditions.
