Notice Information
Notice Title
Open Call - Autonomous Decision Making for Cyber Defence
Notice Description
Under this open call, the Authority is seeking novel Artificial Intelligence (AI) and Machine Learning (ML) approaches for autonomous cyber defence decision making. Specifically, the Authority is interested in research that aims to: * Develop AI and ML based approaches for autonomous response options planning. This could include (but is not limited to) the application of reinforcement learning, adversarial machine learning, game theory etc. Response options could include (but are not limited to): implementation of technical mitigation measures; initiating actions to increase information veracity or certainty before implementing a mitigation response; or initiating actions to identify the cause of system failure in order to recover from it. * Develop multi agent approaches and architectures for cyber defence decision making. Key aspects include the trade-off between centralised and de-centralised agents, approaches for information sharing between agents, agent hierarchy and multi agent consensus. Note that this should focus on the interaction of machine agents and not the interaction of humans with machine agents. * Develop methods and approaches to evaluating the decisions generated by the agents to determine their effectiveness and impact.
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-b5fd17-00187194-0e3c-4152-bc51-94a995636ea1
- Publication Source
- Contracts Finder
- Latest Notice
- https://www.contractsfinder.service.gov.uk/Notice/2af58016-74ea-4081-b659-c5b39081ae3e
- Current Stage
- Award
- All Stages
- Award
Procurement Classification
- Notice Type
- Award Notice
- Procurement Type
- Framework
- Procurement Category
- Goods
- Procurement Method
- Selective
- Procurement Method Details
- Call-off from a framework agreement
- Tender Suitability
- SME
- Awardee Scale
- Large
Common Procurement Vocabulary (CPV)
- CPV Divisions
72 - IT services: consulting, software development, Internet and support
-
- CPV Codes
72231000 - Development of software for military applications
72244000 - Prototyping services
72262000 - Software development services
Notice Value(s)
- Tender Value
- £951,580 £500K-£1M
- Lots Value
- Not specified
- Awards Value
- £951,580 £500K-£1M
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 5 Nov 20214 years ago
- Submission Deadline
- 13 Sep 2021Expired
- Future Notice Date
- Not specified
- Award Date
- 29 Sep 20214 years ago
- Contract Period
- 3 Oct 2021 - 31 Mar 2022 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
- DEFENCE SCIENCE AND TECHNOLOGY LABORATORY
- Contact Name
- Available with D3 Tenders Premium →
- Contact Email
- Available with D3 Tenders Premium →
- Contact Phone
- Available with D3 Tenders Premium →
Buyer Location
- Locality
- SALISBURY
- Postcode
- SP4 0JQ
- Post Town
- Salisbury
- Country
- England
-
- Major Region (ITL 1)
- TLK South West (England)
- Basic Region (ITL 2)
- TLK7 Gloucestershire and Wiltshire
- Small Region (ITL 3)
- TLK72 Wiltshire
- Delivery Location
- Not specified
-
- Local Authority
- Wiltshire
- Electoral Ward
- Winterslow & Upper Bourne Valley
- Westminster Constituency
- Salisbury
Further Information
Notice Documents
-
https://www.contractsfinder.service.gov.uk/Notice/2af58016-74ea-4081-b659-c5b39081ae3e
5th November 2021 - Awarded contract notice on Contracts Finder
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
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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