AI-assisted threat detection
How can AI improve signal quality and response without weakening auditability or human control?
- Detection engineering
- Explainability
- Continuous assurance
Research
Research for systems that must remain trustworthy while they change.
The research agenda connects cloud-native infrastructure, cybersecurity, reliability and emerging agentic systems—with emphasis on evidence that practitioners can use.
Cloud-native reliability
How can complex microservice platforms produce stronger evidence of resilience before failure becomes an incident?
- Chaos engineering
- SRE
- Observability
Trusted agent discovery
What architecture can join naming, identity, authorization, provenance and policy for autonomous agents?
- DNS & ANS
- SPIFFE
- MCP & A2A
Digital trust systems
Where can decentralized or tamper-evident systems improve trust without adding unjustified complexity?
- Blockchain
- Identity
- Governance
Research identity
Find the research record.
Verified public profiles provide the authoritative path to publications, citations and research activity.
Peer review
Service to research quality.
Journal ReviewerDiscover Artificial Intelligence — Springer NaturePeer review in artificial intelligence and related applied research.Conference ReviewerIEEE conferencesTechnical review service for conference submissions in relevant computing and engineering domains.
Collaboration
Industry-grounded research partnerships.
Potential collaborations include literature reviews, reference architectures, controlled experiments, practitioner studies, technical workshops and jointly authored outputs.
Research principle
“Make emerging systems more trustworthy by making their evidence more useful.”
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Explore a research or academic collaboration.
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