A.I.G (AI Infra Guard) vs onBeacon - UX and growth superpowers for product teams: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of A.I.G (AI Infra Guard) and onBeacon - UX and growth superpowers for product teams — 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.
onBeacon - UX and growth superpowers for product teams
onBeacon
AI-powered tool that analyzes product flows and gives actionable UX and growth recommendations to boost engagement and reduce churn.
Key features
- Flow Analysis: Scans and analyzes product flows (onboarding, conversion funnels, retention paths) to identify friction points and drop-off stages that harm engagement.
- Actionable Recommendations: Generates specific, prioritized suggestions for UI/UX and product changes that teams can implement to boost activation and reduce churn.
- Designer-Grade Reviews in Seconds: Emulates a senior product designer's review by quickly surfacing high-impact UX improvements and justifications.
- Engagement & Churn Focus: Targets recommendations specifically toward increasing engagement metrics and stopping user churn by addressing critical behavioral bottlenecks.
- Prioritization for Growth Experiments: Helps product teams choose and prioritize experiments by highlighting changes most likely to move key growth metrics.
- Automated UX reviews and actionable suggestions
- Flow analysis to identify drop-offs and churn drivers
- Recommendations tied to growth metrics (activation, retention, engagement)
- Behavioral-science backed insights
- Team collaboration and shareable reviews
- Integrations with product data sources (implied)
- Automated analysis of product flows and funnels
- Actionable UX recommendations to boost engagement
- Prioritized suggestions aimed at reducing churn
- Growth-focused change suggestions (activation improvements)
- Fast, designer-like reviews of product screens and flows
Best for
- Onboarding Optimization: Analyze user onboarding flows to detect where new users drop off and receive specific redesign suggestions to increase activation rates.
- Conversion Funnel Improvement: Identify funnel steps causing conversion loss and apply prioritized UX changes to improve sign-ups or purchases.
- Retention and Churn Reduction: Diagnose patterns that lead to churn and get targeted product/UX changes to retain more users over time.
- Design Review Acceleration: Provide fast, expert-quality UX feedback to product designers and PMs to accelerate iteration cycles and unblock releases.
- Growth Experiment Planning: Generate a ranked list of experiments with recommended changes so growth teams can run higher-impact A/B tests.
- Improve onboarding and activation flows with prioritized UX fixes
- Identify and fix points causing user churn
- Speed up product design reviews with automated, senior-level suggestions
- Quantify UX changes impact on growth metrics
- Support product teams with data-driven design decisions
- Product teams auditing onboarding and activation flows
- Identifying drop-off points and reducing churn
- Generating prioritized UX changes to improve conversion
- Rapid UX reviews during product iteration sprints
- Creating hypotheses and experiment ideas for growth teams