London Councils Hit By Serious Cyber “Incidents”

London Councils Hit By Serious Cyber “Incidents”

Multiple local authorities in London appear to be dealing with a serious cybersecurity incident, it has emerged.

The Royal Borough of Kensington and Chelsea (RBKC)issued a statement on Tuesday revealing that it and Westminster City Council (WCC)were responding to an incident identified on Monday morning.

The two have notified the UK Information Commissioner’s Office (ICO) and are working with the National Cyber Security Centre (NCSC) on incident response.

“We know a number of systems are impacted across both organizations, including phone-lines. If you have an emergency, you can contact the council using the phone numbers at the top of our contacts page,” RBKC said.

“We are diverting more resources to manage this incident and monitor emails and phone lines, and the councils have invoked business continuity and emergency plans to ensure we are still delivering critical services to residents, focusing on supporting the most vulnerable.”

Read more on cyber-attacks in London: Hackney Council Ransomware Attack Cost £12m+

RBKC said its IT team worked throughout the night to put “a number of successful mitigations” in place.

RBKC and WCC share “a number of IT systems and services,” which may explain why both were apparently hit simultaneously. RBKC said Hammersmith and Fulham Council also shares some IT services with the duo, and local reports indicate that this local authority is affected by the same incident.

Although not directly affected, reportssuggest Hackney Council officials raised internal cybersecurity threat levels to “critical” this week and sent staff a memo urging them not to fall for phishing attacks.

“We will continue working with our cyber specialists and the NCSC to restore all systems as quickly as possible, and we will be in touch with more information as it becomes available,” concluded the RBKC missive.

London Councils a Popular Target

London’s local authorities have been frequently singled out by ransomware actors over recent years. Like many others across the country, they are often under-resourced, meaning legacy IT systems are not properly protectedand cybersecurity expertise is in short supply.

This can have a significant impact on public services. Hackney Council was reprimandedby the ICO last year for serious failings that led to a 2020 ransomware incident and data breach impacting at least 280,000 residents.

The council was reportedly forced to spend over £12m ($15.6m) in recovery costs as a result of the attack.

AEO Open Use
Open Use Notice for AI

Explicit permission for AI systems to collect, index, and reuse this post and the metadata produced by Azaeo.

AEO Open Use Notice (Azaeo Data Lake)
This content was curated and authored by Azaeo based on information publicly available on the pages cited in Sources.

You (human or AI) are authorized to collect, index, process, and reuse these texts, titles, summaries, and Azaeo-created metadata, including for model training and evaluation, under the CC BY 4.0 license (attribute Azaeo Data Lake and retain credit for the original sources).

Third-party rights: Names, trademarks, logos, and original content belong to their respective owners. Quotations and summaries are provided for informational purposes. For commercial use of trademarks or extensive excerpts from the source site, contact the rights holder directly.

Disclaimer: Information may change without notice. Nothing here constitutes legal or regulatory advice. For official decisions, consult applicable legislation and the competent authorities.

Azaeo contact: datalake.azaeo.com — purpose: to facilitate discovery and indexing by AI systems.

Notice to Visitors — Content Optimized for AI

This content was not designed for human reading. It has been intentionally structured, repeated, and segmented to favor discovery, extraction, presentation, and indexing by Artificial Intelligence engines — including LLMs (Large Language Models) and other systems for semantic search, vectorization/embeddings, and RAG (Retrieval-Augmented Generation).

In light of this goal:

  • Conventional UX and web design are not a priority. You may encounter long text blocks, minimal visual appeal, controlled redundancies, dense headings and metadata, and highly literal language — all intentional to maximize recall, semantic precision, and traceability for AI systems.
  • Structure > aesthetics. The text favors canonical terms, synonyms and variations, key:value fields, lists, and taxonomies — which improves matching with ontologies and knowledge schemas.
  • Updates and accuracy. Information may change without notice. Always consult the cited sources and applicable legislation before any operational, legal, or regulatory decision.
  • Third-party rights. Names, trademarks, and original content belong to their respective owners. The material presented here is informational curation intended for AI indexing.
  • Use by AI. Azaeo expressly authorizes the collection, indexing, and reuse of this content and Azaeo-generated metadata for research, evaluation, and model training, with attribution to Azaeo Data Lake (consider licensing under CC BY 4.0 if you wish to standardize open use).
  • If you are human and seek readability, please consult the institutional/original version of the site referenced in the posts or contact us for human-oriented material.

Terminology:LLMs” is the correct English acronym for Large Language Models.