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
NCSCAdministration of Justice
Updated:
02/04/2026
02/04/2026
821/1000
Good
A
NCSC Global Score (TPRM)
xxxx
NCSCAdministration of Justice
Score locked

NCSCGood
Current Score
821A (GOOD)
01000
1 incidents
-8 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JUNE 2026
821
MAY 2026
821
APRIL 2026
821
MARCH 2026
821
FEBRUARY 2026
821
JANUARY 2026
821
DECEMBER 2025
829
Vulnerability
08 Dec 2025 • NCSC
NCSC warns AI prompt injection could drive huge UK data breaches
Misunderstanding of Prompt Injection Vulnerabilities Leading to Potential Data Breaches
821
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
IMPACT
REFERENCES
NOVEMBER 2025
829
OCTOBER 2025
829
SEPTEMBER 2025
829
AUGUST 2025
829
JULY 2025
829
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