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NCSC

NCSC Vendor Cyber Rating & Cyber Score

drejtesia-ks.org

Support for the development of the Judiciary in Kosovo


NCSC A.I CyberSecurity Scoring

NCSC
Company Information
Website:http://www.drejtesia-ks.org
Employees number:123
Number of followers:0
NAICS:92211
Industry Type:Administration of Justice
Homepage:drejtesia-ks.org
NCSC Risk Score (AI oriented)
Between 800 and 849
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NCSCAdministration of Justice
Updated:
02/04/2026
821/1000
Good
A
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NCSC Global Score (TPRM)
xxxx
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NCSCAdministration of Justice
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Findings

NCSC
NCSCGood
Current Score
821A (GOOD)
01000
1 incidents
-8 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JUNE 2026
821Before Incident
MAY 2026
821Before Incident
APRIL 2026
821Before Incident
MARCH 2026
821Before Incident
FEBRUARY 2026
821Before Incident
JANUARY 2026
821Before Incident
DECEMBER 2025
829Before Incident
Vulnerability
08 Dec 2025NCSC
NCSC warns AI prompt injection could drive huge UK data breaches

Misunderstanding of Prompt Injection Vulnerabilities Leading to Potential Data Breaches

821After Incident
CRITICAL-8
NCS1765202704
The National Cyber Security Centre has warned that a growing misunderstanding about a new type of artificial intelligence vulnerability could lead to major data breaches affecting UK organisations. The security agency said many developers and cyber professionals were drawing the wrong parallels between so‑called prompt injection attacks in generative AI systems and the long‑established problem of SQL injection in traditional web applications. Prompt injection involves malicious instructions that influence how a large language model behaves. SQL injection involves malicious database queries that exploit flaws in how applications handle user input. The NCSC said these two attack types differ in important ways. It said those differences affect how organisations should manage the risk. In new guidance, the centre said prompt injection attacks against systems built on large language models may not be fully preventable. It contrasted this with SQL injection, which software engineers can often block through strict separation of data and instructions and careful query handling. The NCSC said that large language models do not reliably separate instructions from data. It said attackers can exploit this behaviour by embedding instructions inside content that looks like ordinary text. The organisation warned that a belief that prompt injection can be solved through a single technical fix could leave systems exposed. It said this view could repeat earlier periods when firms underest
INCIDENT DETAILS -
TYPE
AI Vulnerability Misunderstanding
IMPACT
Data Compromised: Potential major data breachesSystems Affected: Generative AI systems, large language modelsOperational Impact: Inadequate risk management leading to system exposure
NOVEMBER 2025
829Before Incident
OCTOBER 2025
829Before Incident
SEPTEMBER 2025
829Before Incident
AUGUST 2025
829Before Incident
JULY 2025
829Before Incident

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