Calipsa webinar: The past, present and future of technology in physical security

If you missed Calipsa's webinar on "From AI to the cloud: The rise of technology in physical security". You can register and see it on-demand any time at your convenience. Here our founder talks with the panel about value added…

Anekanta Consulting’s perspective on RUSI.org’s latest policy considerations on AI and UK National Security

27th April 2020 Rusi.org released its GCHQ commissioned policy considerations on the benefits and use of AI for National Security in the UK. Here, Anekanta Consulting provides its initial opinion and unique perspective on the findings and conclusions in the…

From AI to the cloud: The rise of technology in physical security

Anekanta Consulting's founder invited to join the influential panel at the Calipsa webinar next Wednesday 29th April. Come and join to hear the forward thinking discussion "From AI to the cloud: The rise of technology in physical security". Click on…

Ambiguous Threats and AI?

This isn't about politics. See what we may learn from this article in HBR about leadership in the COVID-19 crisis and think about how the paradigm applies to the growing trend towards utilising Artificial Intelligence to assist in better decision…

Anekanta® AI Governance Framework

Anekanta®'s AI governance framework was originally developed in 2020 and independently assessed by the University of Oxford, prior to the recent explosion in the awareness of AI as a beneficial business tool. The purpose of this set of principles is to ensure ethical AI practices throughout the organisation. It is clear that AI needs to be on the Board agenda and considered seriously as part of the CSR requirements. AI should not be confined within the realms of IT, although the CIO may take responsibility for implementation and management.

Artificial intelligence and technology convergence in physical security

Sounds simple, but the physical security estate is made up of millions of discrete systems, operated by private entities and whose interest is in the threats and risks associated with their specific operations. Convergence is still constrained by the boundaries of discrete technologies and private ownership.