[verification]
activeTest design, failure-mode analysis, runtime checks, audit-ready reporting. Building an evidence base for autonomous system validation.
Test design, failure-mode analysis, runtime checks, audit-ready reporting. Building an evidence base for autonomous system validation.
Multi-agent coordination, edge deployment, operating envelopes, tool-access controls. Research into safe decision loops under uncertainty.
Policy-aware execution, constraint enforcement, explainable traces. Investigating how autonomous behaviour can remain within defined boundaries.
| PHASE | DESCRIPTION |
|---|---|
| 01_define | Operating envelope, constraints, safety boundaries, success metrics. What should the system do—and not do? |
| 02_build | Prototype with guardrails, tool boundaries, fallbacks. Iterative development with continuous risk review. |
| 03_verify | Scenario testing, adversarial evaluation, runtime checks. Independent evidence before deployment. |
| 04_deploy | Hardening, monitoring, incident response. Continuous evaluation in operational context. |
How can distributed agents plan, negotiate, and recover safely when networks are unreliable, sensors are noisy, and conditions change faster than inference? Exploring coordination protocols and failure-mode taxonomies.
What runtime evidence is required to answer: "What happened?", "Why?", and "What changed?" Investigating tamper-evident logs, attestation workflows, and post-hoc audit mechanisms.
How can autonomous systems respect permissions, constraints, and jurisdictional rules by construction? Examining data-minimisation patterns, tool access controls, and explainability requirements.
Programme brief: cat
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