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A community-driven repository of industry and use-case analyses for agentic systems. Documents how ai agents can fail, and how those failures map to SAFE-MCP attack techniques.

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safe-agentic-framework/safe-agentic-use-cases

SAFE-Agentic Use Case Analysis (SAFE-AUCA)

SAFE-AUCA is a community library of real-world use case analyses for agentic workflows (MCP-enabled systems and tool-using agents), mapped to SAFE‑MCP techniques.

SAFE‑MCP → catalogs what can go wrong (attack/failure techniques)
SAFE‑AUCA → shows where it happens in reality (workflow + tools + trust boundaries + autonomy) and turns techniques into controls + tests

Quick links:


Why we do use case analysis

Techniques alone aren’t enough: the same technique can be low-risk in one workflow and catastrophic in another.

Each detailed use case analysis connects the dots:

Workflow + operating mode (manual → HITL → autonomous)
Kill-chain / failure analysis (defender-friendly; no exploit steps)
SAFE‑MCP technique IDs
Controls, detections, and validation tests


Contribute (fast path)

We seed a stable list of SAFE-UC-XXXX IDs (like SAFE‑MCP), then contributors “pick up” an ID and write the detailed analysis.

  1. Pick a use case ID below with Status = Seed
  2. Create the folder at the linked canonical location and write the README using the template
  3. Update the canonical registry (use-cases.naics2022.crosswalk.json) and open a PR

Every contribution must follow the safety rules in CONTRIBUTING.md: no sensitive info, no exploit instructions, grounded in public evidence.

How it works:

Step What happens
1. Open an issue Propose New Use Case or Claim Existing Seed
2. ID assigned Automation assigns the next available SAFE-UC-XXXX and updates the issue title
3. Maintainer accepts A maintainer reviews your proposal and comments /accept
4. PR created for you After acceptance, automation scaffolds the seed (folder, README, registry entry, index row) and opens a PR assigned to you
5. Expand & merge You expand the seed into a full analysis, ensure validation passes, and get DSO signoff

Quick contributor workflow:


SAFE Use Case ID ↔ NAICS 2022 crosswalk

How to read this table

  • One row per use case (SAFE-UC-XXXX is the primary object).
  • NAICS is a crosswalk/mapping field, not a parent folder.
  • A use case can map to multiple NAICS codes (shown in the same row).
  • Some NAICS sectors use combined-sector shorthand (e.g., 31–33, 44–45, 48–49).

Status legend

  • Seed: ID reserved + mapping exists; detailed write-up may not exist yet (you can contribute it)
  • Draft: first detailed write-up exists and can be expanded
  • Published: reviewed and ready for broad use
SAFE Use Case ID Use case title NAICS 2022 industry mapping (Name + Code) Status
SAFE-UC-0001 AI-assisted seller listing creation Retail Trade (44–45) Seed
SAFE-UC-0002 Personalized shopping sidekick Retail Trade (44–45) Seed
SAFE-UC-0003 Buyer-seller messaging assistant Retail Trade (44–45) Seed
SAFE-UC-0004 Listing media enhancement assistant Retail Trade (44–45) Seed
SAFE-UC-0005 Visual search & image-based product discovery Retail Trade (44–45) Seed
SAFE-UC-0006 Fleet telematics & vehicle-health monitoring assistant Transportation and Warehousing (48–49) Seed
SAFE-UC-0007 Mobile fleet-maintenance dispatch & scheduling assistant Other Services (except Public Administration) (81) Seed
SAFE-UC-0008 Over-the-air vehicle software update orchestration Manufacturing (31–33) Seed
SAFE-UC-0009 Manufacturing line visual inspection assistant Manufacturing (31–33) Seed
SAFE-UC-0010 In-vehicle voice assistant for local controls Manufacturing (31–33) Seed
SAFE-UC-0011 Banking virtual assistant Finance and Insurance (52) Seed
SAFE-UC-0012 Interactive fraud alert & card controls assistant Finance and Insurance (52) Seed
SAFE-UC-0013 Virtual card number generation & checkout assistant Finance and Insurance (52) Seed
SAFE-UC-0014 Digital dispute/chargeback intake assistant Finance and Insurance (52) Seed
SAFE-UC-0015 AML suspicious-activity triage assistant Finance and Insurance (52) Seed
SAFE-UC-0016 IT service-desk virtual agent Information (51) Seed
SAFE-UC-0017 Service request triage assistant Information (51) Seed
SAFE-UC-0018 Work-item summarization assistant (thread + context summaries) Information (51)
Software Publishers (513210)
Draft
SAFE-UC-0019 Post-incident review drafting assistant Information (51) Seed
SAFE-UC-0020 On-call incident context assistant Information (51) Seed
SAFE-UC-0021 Contact-center agent assist Administrative and Support and Waste Management and Remediation Services (56) Seed
SAFE-UC-0022 Security operations investigation assistant Professional, Scientific, and Technical Services (54) Seed
SAFE-UC-0023 Cloud ops troubleshooting assistant Information (51) Seed
SAFE-UC-0024 Terminal-based outage assistant for SRE Information (51) Seed
SAFE-UC-0025 Enterprise agent-building platform Information (51) Seed
SAFE-UC-0026 At-scale content policy enforcement pipeline Information (51) Seed
SAFE-UC-0027 Anti-scam messaging safety assistant Information (51) Seed
SAFE-UC-0028 Fake-account & inauthentic behavior detection assistant Information (51) Seed
SAFE-UC-0029 Automated ad campaign optimization assistant Professional, Scientific, and Technical Services (54) Seed
SAFE-UC-0030 Teen safety & age-assurance enforcement assistant Information (51) Seed
SAFE-UC-0032 Agentic orchestration for marketplace embedded lending Finance and Insurance (52)
Other Activities Related to Credit Intermediation (522390)
Electronic Shopping and Mail-Order Houses (454110)
Draft
SAFE-UC-0033 Skill-driven web app regression testing assistant for pull requests Information (51)
Software Publishers (513210)
Draft
SAFE-UC-0034 Saved credit card payment flow Finance and Insurance (52)
Financial Transactions Processing, Reserve, and Clearinghouse Activities (522320)
Seed

Don't see your use case? Propose a new one — automation assigns the next SAFE-UC-XXXX ID and, once a maintainer accepts, scaffolds the seed and opens a PR for you.


NAICS links (official U.S. Census Bureau)

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A community-driven repository of industry and use-case analyses for agentic systems. Documents how ai agents can fail, and how those failures map to SAFE-MCP attack techniques.

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