A.I.G (AI Infra Guard) vs Granter: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of A.I.G (AI Infra Guard) and Granter — 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.
Granter
Granter / Granter.ai
AI-powered platform that finds grant opportunities, drafts tailored applications, and manages projects after award.
Key features
- Opportunity Discovery: Uses AI-driven matching to scan funding databases and surface grant calls aligned to an organization's profile, eligibility, and project goals, reducing manual search time.
- Tailored Application Drafting: Generates draft proposals, answers to funder questions, and budgets customized to specific funder criteria and language to improve proposal relevance and coherence.
- Compliance and Eligibility Checking: Analyzes funder rules and applicant data to flag eligibility issues, required attachments, and compliance risks before submission.
- Post-Award Project Management: Tracks milestones, deliverables, budgets, and reporting deadlines for awarded projects and helps generate required progress and financial reports.
- Collaboration and Versioning: Provides shared workspaces for teams to co-author applications, review AI drafts, capture reviewer feedback, and maintain version history for submissions.
- Funder-Specific Formatting and Templates: Applies funder-specific templates, word limits, and formatting rules automatically to ensure submissions meet technical requirements.
- Automated discovery of relevant grant and public funding opportunities
- AI-assisted generation of tailored grant application content
- Templates and document generation for application submissions
- Post-approval project management and compliance tracking
- Deadline and milestone tracking for grant workflows
- Collaboration features for teams preparing applications
- Match/scoring of opportunities to organization profiles and projects
- Centralized repository for grant documentation and status
Best for
- Startup R&D Funding: Helping a tech startup discover national R&D grants, draft funder-tailored proposals, and prepare a compliant budget to increase chances of award.
- Nonprofit Program Grants: Assisting a nonprofit to identify charitable and government grants, generate application narratives from program data, and manage reporting after funding is received.
- University Research Administration: Enabling university research offices to scale pre-award support by automatically matching faculty projects to funding calls and producing draft applications for review.
- Consultancy Scaling: Allowing grant consultants to accelerate proposal throughput by using AI-generated first drafts and standardized templates across multiple clients.
- Post-Award Compliance: Tracking milestone completion and automating the creation of interim and final reports to meet funder reporting requirements and avoid penalty or clawbacks.
- Startups and SMBs searching for public grants suited to their product or R&D
- Research institutions preparing complex funding proposals
- Nonprofits applying for program and operational grants
- Grant managers coordinating multiple applications and post-award reporting
- Consultancies and advisors automating parts of proposal drafting and submission