Summary

AI has the potential to be a game-changer for cyber security. Improvide the detection and remediation of threats and vulnerabilities a never-before seen scale. It could also be highly disruptive for the cyber security sector. This is the opportunity to share your AI insights and innovations with the CYBERUK audience.

NCSC would welcome technical talks describing AI supporting threat analysis and risk assessment, pen-testing (red team), threat detection and remediation (blue team), vulnerability detection, etc.

We take a broad view of AI technology, including all aspects of Machine Learning and not solely LLMs and their associated technologies.

Criteria

We are looking for talks that deliver insight into one or more of the following areas:
•    Overview of the applications of AI to cyber
•    Details of practical application of AI/ML to improve the cyber security of a real-world system or test-bed
•    Use of AI/ML to create step-change reductions in the effectiveness or cost of cyber defence
•    Use of AI/ML to reason about the cyber security of networks, systems or architectures
•    Successful application of AI/ML to find vulnerabilities in systems or products
•    Automation of cyber actions or analysis

Summary

Our collective cyber security best-practices are, for the most part, based on the sector's learned successes and failures, and the application of analysis that is often part logic, part experience and part intuition.

Despite being a subject rooted in technology, cyber security practices are rarely backed by robust data or scientific evidence. This is your chance to share ideas to correct this.

The NCSC would welcome technical talks that seek to analyse what makes some cyber defenders more effective than others. Whether that be causes of compromise, remediation or recovery.

We don't expect speakers to have fully solved this great challenge, but would welcome those in Government, industry and academia who have taken a scientific approach to cyber.

Criteria

We are looking for talks that deliver insight into one or more of the following areas:
•    Approaches to taking a scientific approach to cyber security
•    Statistical analysis of cyber incidents and common features
•    Empirical evidence for the real-world efficacy of cyber security controls
•    Studies and analysis into the features of successful to unsuccessful cyber defenders, and evidence for approaches which reduce the cost of cyber incidents
•    Technology that is proven to inhibit adversary strategies. Identification of mitigations which reduce cyber harm to the greatest degree.
•    The effect of mitigations and deterrents on cyber adversaries

Summary

Every year the adversary threat evolves, shifting their focus onto new technologies, and exhibiting new tactics and techniques when exploiting our systems.

The NCSC welcomes talks which genuinely move our collective understanding of the adversary forward or prepare defenders to protext their systems from their evolved adversary in the future.

Criteria

We are looking for talks that deliver insight into one or more of the following areas:
•    Studies into threat actor data, including threat actor structures and motivations
•    Analysis of incident data, and the tactics employed by adversaries during those incidents
•    Data describing shifts in adversary behaviour or focus
•    Evidence of the use of automation and AI by adversaries