Observe
Follow shipment, scan, route, sensor, access and proof-of-handoff events.
AGENTIC AI2026Cybersecurity HackathonTrack 02
Secure Logistics & Digital Trust
Protect the data, decisions and handoffs that keep goods moving.
Read the brief ↓
02The opportunity
Why this matters.
A delivery journey crosses vehicles, hubs, partners, devices and customer touchpoints. Every handoff creates signals—and opportunities for delay, fraud, tampering or unauthorised access. Agentic AI can continuously connect these events and help operators respond before one anomaly becomes a chain-wide disruption.
Agent behaviour
From signal to safe action.
Reason
Compare the live journey with expected sequence, location, timing and permissions.
Defend
Flag suspicious handoffs, request verification, reroute safely or escalate to an operator.
What to develop
A focused, testable defensive agent.
Build an agent around a realistic shipment or supply-chain workflow. It should monitor event data, detect a meaningful trust or security issue, explain the evidence and recommend a safe operational response. Synthetic delivery events are welcome when real data is unavailable.
Recommended structure
01Problem & user
02Inputs & evidence
03Agent workflow
04Defensive action
05Human approval
06Result & limitations
Starter concepts
Four ways in.
Route anomaly agent
Detect impossible movement, unexplained stops or suspicious route deviations.
Cold-chain guardian
Watch temperature and handling events, then explain risk to product integrity.
Handoff trust verifier
Cross-check scans, identity and location before accepting proof of delivery or custody.
Supplier-risk monitor
Combine vendor evidence and operational events to surface changing third-party risk.
Data & references
Start with credible inputs.
Use these as a starting point, or create a clearly documented synthetic dataset. Never test on systems or people without permission.
GS1
EPCIS 2.0
A supply-chain event standard covering what, when, where, why and how—including sensor data and JSON.
Open official source ↗GS1EPCIS implementation guide
Use the event model to design realistic synthetic shipment and custody data.
Open official source ↗CISASupply-chain risk resources
Reference material for framing supplier, technology and operational risk.
Open official source ↗Your submission should prove
The agent can observe, reason and defend—responsibly.
Clear problemWorking flow or prototypeEvidence of valueHuman oversightKnown limitations
Register your team↗