A.I.G (AI Infra Guard) vs Locofy: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of A.I.G (AI Infra Guard) and Locofy — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
A.I.G (AI Infra Guard)
Tencent Zhuque Lab
Tencent's open-source AI red teaming platform for scanning agents, agent skills, MCP servers and AI infrastructure, plus LLM jailbreak evaluation.
Key features
- Agent Skills Scan: Audits agent skill packages against a nine-category risk taxonomy aligned with the public SkillTrustBench T01-T09 classification, including detection of .pyc bytecode bypasses and charset smuggling.
- MCP Server Scan: Inspects MCP servers for threats such as tool poisoning, credential exfiltration and command injection, with tool whitelisting to prevent remote code execution during dynamic scanning.
- AI Infrastructure Vulnerability Scanning: Checks deployed AI components against a library that has grown to roughly 130 components and over 2,000 CVE rules, covering frameworks such as llama.cpp.
- Jailbreak Evaluation: Runs single-turn jailbreak operators plus multi-turn attack techniques including Many-Shot, PAIR, GOAT and ActorAttack to measure a model's resistance.
- Agent Scan with OWASP Coverage: Assesses running agents using OWASP-derived skills and web exfiltration detection, with a dedicated agent red team skill for comprehensive assessment.
- Standalone Scanner CLIs: skill-scan, mcp-scan and agent-scan each install as an independent command-line tool so scans can be wired directly into enterprise CI/CD pipelines.
- Docker Deployment with Web UI: Deploy the full platform with Docker on 4GB+ RAM and reach the web interface at localhost:8088, or use a one-click install script or a source build.
- AI Security Skill Market: A catalog of official security scanning skills, with the frontend fully open-sourced and integration available from OpenClaw chat via the aig-scanner skill.
Best for
- Pre-Deployment Agent Audit: Scan an internally built agent and its skill bundle for prompt injection, exfiltration and privilege risks before it is released to staff.
- MCP Supply Chain Review: Vet third-party MCP servers for tool poisoning and credential exfiltration before connecting them to production assistants.
- CI/CD Security Gate: Run skill-scan as a standalone CLI on every pull request so risky agent skills fail the build rather than shipping.
- Model Safety Benchmarking: Measure how a deployed LLM holds up against single and multi-turn jailbreak techniques before and after guardrail changes.
- AI Infrastructure Patch Triage: Inventory AI serving components and match them against the CVE rule library to prioritise which hosts need patching.
- Security Research and Reporting: Use the open scan engines and SkillTrustBench alignment as a reproducible basis for internal or published AI security research.
Locofy
Locofy.ai
AI design-to-code tool that converts Figma and Penpot designs into production-ready React, Vue, HTML-CSS, React Native, and Flutter code.
Key features
- Locofy Lightning: One-click AI conversion of Figma or Penpot designs into responsive, component-based frontend code using Large Design Models.
- Multi-Framework Export: Generates code for React, Vue, Angular, Next.js, Gatsby, HTML-CSS, React Native, and Flutter.
- Auto Components & Responsiveness: Automatically detects reusable components and makes layouts responsive across breakpoints.
- Design Tool Integration: Works as a plugin inside Figma and Penpot to convert designs without leaving the canvas.
- Agentic Dev Handoff: Acts as a frontend layer between design files and AI code editors like Cursor and Claude.
- Code Sync & Export: Pushes generated code to a repository or dev environment so design and code stay in sync.
Best for
- Rapid Prototyping: Convert a Figma mockup into a working frontend prototype in minutes instead of hand-coding it.
- Design-to-Dev Handoff: Hand developers clean, structured code generated directly from designer files.
- Frontend Acceleration: Cut UI coding time significantly when building React or React Native interfaces.
- Cross-Platform Builds: Generate both web and mobile UI code from a single design source.
- Legacy Workflow Modernization: Bridge existing Figma libraries into modern component-based codebases.