Agentic AI security and resilient systems

The current program connects autonomous-agent security with long-running work on blockchain, cyber-physical systems, and software engineering.

Current programme

Agentic AI security and resilience

Autonomous agents increasingly act across model services, smart contracts, digital markets, and physical infrastructure. The research question is direct: how can these systems be audited, constrained, and kept resilient under adversarial conditions?

Read the full programme at Trust Lab

Research foundations

The current agentic-systems programme builds on three longer lines of research.

Blockchain security and digital economies

Research on privacy, censorship resistance, maximal extractable value, decentralized finance, and protocol security in programmable blockchains.

  • Blockchain privacy and stealth addresses
  • Censorship resistance and protocol trust
  • DeFi security, MEV detection, and market behavior

Cyber-physical and infrastructure security

Security for smart grids, microgrids, connected vehicles, and other systems where software and AI act on physical infrastructure.

  • Cyber-resilient power-system protection
  • Attack detection for smart grids and industrial systems
  • Threat modeling for connected and IoT systems
  • Secure decentralized energy systems

Software and requirements engineering

Requirements and systems engineering provide the methods used to study trust, security, and failure in complex digital systems.

  • Security and privacy requirements
  • Requirements engineering for decentralized systems
  • Software architecture and architecture recovery