{
    "id": "571f2041-96a8-45ef-b845-11854d48761e",
    "notice": {
        "id": "571f2041-96a8-45ef-b845-11854d48761e",
        "parentId": null,
        "parentIdentifier": "",
        "linkReason": "",
        "version": 1,
        "contactDetails": {
            "name": "Phil Joslin",
            "email": "dsit.dttgcbp@dsit.gov.uk",
            "address1": "22 - 26 Whitehall,",
            "address2": "",
            "town": "London",
            "postcode": "SW1A 2EG",
            "country": "England",
            "phone": "",
            "webAddress": ""
        },
        "identifier": "tender_479940/1495047",
        "title": "WP 1: CYBER RANGE SCENARIOS - Enterprise Networks",
        "description": "Requirement: Cyber Range Scenarios for Enterprise Networks \r\n\r\nThe team requires a supplier(s) to design and build realistic computer networks and scenarios that closely resemble the tasks an AI agent would need to complete to conduct an end-end offensive cyber-attack within an Enterprise Network.  This includes: \r\n\r\nSpecification for a complex Cyber Range Environment that is that is compatible with our platform, Inspect. \r\n\r\nSpecifications for tasks within that Cyber Range Environment that assess a scaffolded LLM model at cyber relevant tasks. (The construction of an agent is not required).  \r\n\r\nA solver for each task, showing the task is solvable (solutions for all tasks should be provided to AISI). The task details should not be tested on any model with logging. \r\n\r\nAn automated grader for that task that provides details of the success of the model at the challenge. \r\n\r\nHuman Baselines and estimates for the expertise level required to solve the task.",
        "cpvDescription": "Research services",
        "publishedDate": "2025-06-26T16:29:01+01:00",
        "approachMarketDate": "",
        "deadlineDate": "2024-12-20T13:00:00Z",
        "valueLow": 999600,
        "valueHigh": 0,
        "postcode": "",
        "region": "London",
        "nationwide": false,
        "location": {
            "lat": 0,
            "lon": 0
        },
        "start": "2025-03-13T00:00:00Z",
        "end": "2025-04-30T00:00:00+01:00",
        "type": "Contract",
        "cpvCodes": [
            "73110000"
        ],
        "spendProfile": null,
        "status": "Awarded",
        "isSuitableForSme": true,
        "isSuitableForVco": true,
        "supplyChain": false,
        "lastNotifiableUpdate": "2025-06-26T16:29:01+01:00",
        "organisationName": "DSIT",
        "sector": "",
        "procedureType": "CallOffFromDynamicPurchasingSystem",
        "procedureTypeOther": "",
        "procedureAcceleratedJustification": "",
        "ojeuContractType": "Services",
        "isFrameworkAgreement": false,
        "isExtensionPossible": false,
        "annexDOption": null,
        "reasonContractLawful": null
    },
    "createdByUser": "gcc-uk@jaggaer.com",
    "createdDate": "2025-06-26T16:28:44+01:00",
    "lastUpdatedbyUser": "gcc-uk@jaggaer.com",
    "lastUpdatedDate": "2025-06-26T16:29:01+01:00",
    "awards": [
        {
            "id": "779717",
            "noticeId": "571f2041-96a8-45ef-b845-11854d48761e",
            "parentId": null,
            "value": 999600,
            "supplierName": "SpecOpsInc",
            "supplierAddress": "307 3rd Ave S, Seattle, Washington  98104, US",
            "contact": null,
            "dunsNumber": "",
            "supplierAwardedValue": null,
            "referenceType": "NONE_OTHER",
            "reference": "",
            "startDate": "2025-03-13T00:00:00Z",
            "endDate": "2025-04-30T00:00:00+01:00",
            "awardedDate": "2025-01-10T00:00:00Z",
            "awardedProcedureType": "CallOffFromDynamicPurchasingSystem",
            "awardedProcedureTypeOther": "",
            "awardedProcedureAcceleratedJustification": "",
            "annexDOptionType": "",
            "reasonContractLawful": "",
            "additionalDetails": "",
            "awardedToSME": false,
            "awardedToVCSO": false,
            "awardGuid": "eeea893a-d759-4c00-8eb4-cd5f44978e59"
        }
    ],
    "isPublished": true,
    "isPreAwarded": true,
    "organisation": {
        "name": "DSIT"
    },
    "additionalDetails": [
        {
            "id": "571f2041-96a8-45ef-b845-11854d48761e",
            "noticeId": "571f2041-96a8-45ef-b845-11854d48761e",
            "description": "Additional Text",
            "dataType": "AdditionalText",
            "textData": "",
            "mimeType": null,
            "awardGuid": null
        },
        {
            "id": "206ab73a-86dd-481a-9f00-362337ae6046",
            "noticeId": "571f2041-96a8-45ef-b845-11854d48761e",
            "description": "n/a",
            "dataType": "Attachment",
            "filename": "Specter Ops Redacted documents.zip",
            "mimeType": "application/x-zip-compressed",
            "awardGuid": null
        }
    ],
    "withdrawnDate": "",
    "withdrawnReason": "",
    "withdrawnByUser": null,
    "cpvCodes": [
        {
            "code": "73110000",
            "description": "Research services",
            "parentCode": "73100000",
            "hasChildren": true
        }
    ],
    "publishedVersion": [
        {
            "changedByUser": "gcc-uk@jaggaer.com",
            "dateChanged": "2025-06-26T16:29:01+01:00",
            "id": "904416",
            "noticeStatus": "Awarded",
            "noticeType": "Contract",
            "publishedNoticeId": "571f2041-96a8-45ef-b845-11854d48761e",
            "versionNumber": 1,
            "visibleToPublic": true
        }
    ],
    "numberOfViews": "333"
}