Route anomaly agent
Detect impossible movement, unexplained stops or suspicious route deviations.
AGENTIC AI2026Cybersecurity HackathonTrack 02
Protect the data, decisions and handoffs that keep goods moving.
Read the brief ↓
02The challenge brief
Secure logistics uses AI agents to monitor the digital evidence behind a shipment and protect each route, handoff and operational decision. Build one agent, a coordinated multi-agent system or an agent-enabled platform for a specific trust problem such as route deviation, suspicious handoff, cold-chain failure, proof-of-delivery fraud or supplier risk.
Minimum working outcome
Deliver a working, testable prototype that follows at least one realistic shipment scenario from normal activity to a meaningful exception. Your agent may call mapping, weather, identity, sensor or security APIs; use Claude, Gemini or open-source models; or run locally with synthetic delivery data that you document clearly. Show the events received, the checks and tools selected, the evidence behind the decision and the next action—such as requesting verification, escalating a handoff or proposing a safe reroute. Include operator approval for disruptive actions, keep an audit trail and demonstrate a useful result such as earlier detection, fewer false alerts or reduced review time.
Your demonstration should include
Choose your challenge
Detect impossible movement, unexplained stops or suspicious route deviations.
Watch temperature and handling events, then explain risk to product integrity.
Cross-check scans, identity and location before accepting proof of delivery or custody.
Combine vendor evidence and operational events to surface changing third-party risk.
Data & references
Use these as a starting point, bring your own permitted data or create a clearly documented synthetic dataset. Never test on systems or people without permission.
A supply-chain event standard covering what, when, where, why and how—including sensor data and JSON.
Open official source ↗GS1Use the event model to design realistic synthetic shipment and custody data.
Open official source ↗CISAReference material for framing supplier, technology and operational risk.
Open official source ↗Your submission should prove