Award

PS23342 - Assessment of the Cyber Security Risks to Artificial Intelligence (AI)

BEIS

This public procurement record has 1 release in its history.

Award

12 Dec 2023 at 15:47

Award Notice
Summary of the contracting process

The Department for Science, Innovation and Technology, represented by BEIS, has recently awarded a contract to Grant Thornton Limited. The procurement process, under the title "PS23342 - Assessment of the Cyber Security Risks to Artificial Intelligence (AI)," falls under the research services industry category. The contract, valued at £82,000 GBP, involved a selective procurement method through a call-off from a dynamic purchasing system. The tender period ended on 20th October 2023, with a contract period from 20th November 2023 to 29th February 2024.

This tender presents an opportunity for businesses involved in research services, particularly those with expertise in cyber security risks to AI technologies. Small and medium-sized enterprises (SMEs) and voluntary, community, and social enterprise sector (VCSE) organisations may find this tender suitable for their capabilities. The study aims to map cyber risks to different AI technologies and their deployment, providing insights that can inform policy work in the rapidly growing field of AI adoption across UK businesses.

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Notice Information

Notice Title

PS23342 - Assessment of the Cyber Security Risks to Artificial Intelligence (AI)

Notice Description

**Please note this is an Award Notice and not a call for competition, this Contract has been awarded via the Crown Commercial Services - RM3764.3 - Lot 1: Cyber Security Services 3.** The Department for Science, Innovation and Technology has a requirement to appoint a supplier to conduct a study to comprehensively map the cyber risks to different AI technologies and their deployment. Purpose AI use is growing. In April 2023, an estimated 16% of all UK businesses had adopted at least one AI technology. However, this number is now likely to increase significantly with the growth of more accessible and powerful generative AI models. To inform our policy work in this space, the Department wants to improve its understanding of the cyber risks to AI models and systems. The Department would therefore like to commission a study to comprehensively map the cyber risks to different AI technologies and their deployment. Objectives The Department is commissioning this research primarily to develop a comprehensive mapping of the cyber security risks to AI models and systems. More specifically, the Department seeks to gain: - Comprehensive mapping of cyber security risks to AI across different AI technologies and across different parts of the AI life cycle. - An understanding of all AI risks with a delineation between those specific to broader software and those solely in relation to AI. - Identification of the impacts these vulnerabilities and risks can cause, including the scale of the damage/impact.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-294c6864-213c-4a7f-8b09-d2501276aee3
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/c8c753ba-1816-4663-be0f-0c3a0df24176
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Dynamic
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a dynamic purchasing system
Tender Suitability
SME, VCSE
Awardee Scale
SME

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73110000 - Research services

73210000 - Research consultancy services

Notice Value(s)

Tender Value
£82,000 Under £100K
Lots Value
Not specified
Awards Value
£82,000 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
12 Dec 20232 years ago
Submission Deadline
20 Oct 2023Expired
Future Notice Date
Not specified
Award Date
1 Dec 20232 years ago
Contract Period
20 Nov 2023 - 29 Feb 2024 1-6 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
BEIS
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
SWINDON
Postcode
SN2 1FF
Post Town
Swindon
Country
England
Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK7 Gloucestershire and Wiltshire
Small Region (ITL 3)
TLK71 Swindon
Delivery Location
Not specified
Local Authority
Swindon
Electoral Ward
Rodbourne Cheney
Westminster Constituency
Swindon North

Supplier Information

Number of Suppliers
1
Supplier Name

GRANT THORNTON

Further Information

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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