Technology-driven Intelligence Innovation

This theme looks at the opportunities presented by technologies such as AI to transform the security and intelligence architecture.

Our research on technology-driven intelligence innovation explores how developments in technology are changing the apparatus of the security community for the better. While technology is providing threat actors with new avenues to undermine national security, it is simultaneously creating opportunities to revolutionise the way intelligence is conducted.

RUSI research has previously highlighted how AI, for example, can be used to augment human analysis processes through natural language processing and audio-visual analysis, filtering and triage of collected data, and behavioural analytics. Privacy-enhancing technologies such as homomorphic encryption, multi-party computation and differential privacy could transform the way that data is collected and shared within the security community and with external partners.

In policing, data analytics and algorithms are increasingly used to build classification tools supporting human-led risk assessments. Our research has also highlighted the untapped potential of open-source intelligence techniques in the current security and intelligence architecture. Across all these areas, potential risks and relevant legal and ethical considerations need to be at the forefront of the debate to ensure that technology-driven innovation happens in a proportionate and transparent manner.

Upcoming event

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    The Emergence of Hybrid Warfare in Afghanistan: Taliban and Islamic State

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    The Future of UK-Russia Relations

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    Project Launch: UK National Security and the Net Zero Transition


Programme outputs

Access related reports, past projects and workshops

The Future of Open Source Intelligence for UK National Security
Artificial Intelligence and UK National Security: Policy Considerations
Observatory for Monitoring Data-Driven Approaches to COVID-19

OMDDAC provides a public space for the consolidation of knowledge and understanding of data-driven approaches to COVID-19, focusing on legal, ethical, policy and operational challenges.

Trusting Machines? Cross-sector Lessons from Healthcare and Security
RUSI Annual Security Lecture


Machine Learning Algorithms and Police Decision-Making: Legal, Ethical an...

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Big Data and Policing: An Assessment of Law Enforcement Requirements...

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A Democratic Licence to Operate: Report of the Independent Surveillance Review

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Machine Learning Algorithms and Police Decision-Making


Big Data and Policing


Independent Surveillance Review


RUSI-NCA TRACER Workshop: Privacy-protecting Technology, Data and Regulation: Current and Future Landscape - November 2021
RUSI held an in-person workshop in November 2021 in collaboration with the NCA. The workshop presented an important opportunity for the UK law enforcement community to discuss with distinguished external experts the current and future landscapes in privacy-protecting technology, data and regulation, including legal and evidential considerations, the future of law enforcement’s relationship with Big Tech, and public perceptions and engagement.

RUSI-NCA TRACER Workshop Series: Digital Skills and Knowledge in the Field of Digital Investigation - June 2020
RUSI held two online workshops in June 2020 in collaboration with the NCA. The first of these focused on ‘public engagement and outreach in the field of digital investigation, and the second focused on ‘digital skills and knowledge’. Both workshops featured representatives from across government and law enforcement, and an invited group of academic and civil society experts working in the fields of digital investigation, public engagement, law and ethics, and the privacy and security implications of emerging technology.

UK Government’s Future UK AI Strategy

RUSI partnered with Wilton Park to convene a series of dialogues on the UK government’s future AI strategy.