A.I.G (AI Infra Guard) vs echo: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of A.I.G (AI Infra Guard) and echo — 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.
echo
Beau (beau.to)
Turn every email into a data asset — build dashboards from Gmail traffic to monitor activity without micromanaging.
Key features
- Gmail Integration: Connects directly to Gmail to ingest email metadata and content (subject, sender, timestamps, labels) for analysis without requiring mailbox export.
- Dashboard Builder: Lets users create visual dashboards from email-derived metrics (volume over time, top senders, label trends) to monitor inbox-driven workflows.
- Email Parsing and Extraction: Extracts structured data points from email text and metadata (e.g., order numbers, sender domains, timestamps) to convert messages into analyzable records.
- Filtering and Segmentation: Supports segmentation of email traffic by sender, label, subject patterns or custom rules to focus dashboards on specific workflows (sales, support, receipts).
- Automated Metrics and Alerts: Computes operational metrics from email streams and enables alerts or highlights when key thresholds or anomalies are detected in inbox traffic.
- Privacy-Aware Permissions: Operates via user-granted Gmail access and focuses on metadata and user-specified parsing rules to minimize unnecessary exposure of full message content.
- Gmail integration to access email traffic
- Transforms emails into structured data assets
- Build dashboards from email traffic and trends
- Automated monitoring to stay on top of communications without micromanaging
- Visualization of email-derived metrics
Best for
- Sales Lead Monitoring: Automatically track inbound lead emails, visualize lead volume and source performance, and alert sales teams when lead flow changes.
- Support Inbox Analytics: Measure support request volume, response times, and top issue senders by converting support emails into dashboard metrics.
- Expense and Receipt Tracking: Extract receipt details from vendor emails to populate dashboards showing spending by vendor, date, and category.
- Recruiting Pipeline Visibility: Turn candidate emails into a dashboarded pipeline to monitor application inflow, interview scheduling, and sourcing channels.
- Project Communication Monitoring: Track project-related threads to visualize communication volume, identify stalled conversations, and monitor stakeholder engagement.
- Notification and Alert Aggregation: Aggregate system or product notification emails to surface trends and detect spikes in error or alert messages.
- Create dashboards to monitor inbound support or request volumes from Gmail
- Track trends and KPIs derived from team email traffic
- Convert email workflows into analyzable data for reporting
- Maintain lightweight, automated visibility into email-driven processes