A.I.G (AI Infra Guard) vs Kogvio: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of A.I.G (AI Infra Guard) and Kogvio — 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.
K
Kogvio
Kogvio
Chrome extension that overlays an AI vision agent on any screen to decode diagrams, math, handwriting, and technical docs without leaving your tab.
Key features
- Highlight-to-Understand Overlay: Draw a box over any part of the screen and get an instant explanation without leaving the active tab.
- Keyboard-only Trigger: Global Cmd/Ctrl + Shift + E shortcut keeps users in flow — no mouse or context switch required.
- Messy Handwriting OCR: Vision engine reads bad handwriting, photographed physical notes, and board formulas that generic OCR misses.
- Native LaTeX Rendering: Complex math equations are rendered inline as LaTeX rather than raw ASCII.
- Color-Coded Code Blocks: Programming snippets keep syntax highlighting when rendered in Kogvio's response panel.
- Contextual Chat: Ask follow-up questions about a specific part of the scanned region (e.g., 'what does node 3 represent here?') without re-uploading.
- No API Key Required: Runs on Kogvio's backend — users don't need their own ChatGPT or Gemini account.
- Cross-Platform via Chromium: Works on Mac, Windows, and Linux through Chrome, Brave, or Edge.
Best for
- Studying Dense Material: Students highlight equations or diagrams in PDFs and lecture slides to get inline explanations.
- Decoding Technical Diagrams: Engineers and architects hover Kogvio over system diagrams to identify components and flow.
- Reading Board Photos: Learners scan photos of whiteboard/blackboard formulas and get a clean LaTeX transcription.
- Understanding Code in Docs: Developers highlight code snippets in technical documentation for quick contextual explanation.
- Rapid Research: Analysts working through equations or notation in academic papers ask follow-ups without leaving the page.
- Handwritten Note Digitisation: Users scan photographed personal notes into readable, formatted content.