Enterprise Management 360

Hackers behind the ASOS data breach claimed to have access to users' search history. According to the BBC, the data the threat actors possess showed search terms used by customers like "reclaimed vintage", "glamorous wide fit" and "Asos petite.” Allegedly, the hacker group namely, ‘Xuanyewen group’ may have been behind the data breach. The BBC noted that they might have additional information such as customer numbers, addresses, contact details and names.

Repetition shows you where the work is, but it takes four sharper questions to decide what deserves automating, and in what form. Gartner expects over 40% of agentic AI projects to be cancelled by the end of 2027, thanks to escalating costs, unclear business value or inadequate risk controls. That's a lot of budget wasted for enterprises trying to make smart investments. Most automation programmes start with the same instruction: find the repetitive work. It sounds sensible.

Forrester has reported that 69% of risk decision-makers identified their TPRM program as manual. But it doesn’t need to be this way: Third-party risk assessments don’t need to take months, cause tension between you and your vendors, or take up all of your team’s time. In this whitepaper, we introduce a modern take on the traditional third-party risk assessment, packed with proven processes and industry-leading technology, backed by real-world CISO’s and third-party practitioners.

Your strongest analyst shouldn't spend Tuesday morning cross-referencing SOC 2 exceptions by hand. But that's where the work goes when a Third-Party Risk Management (TPRM) program runs on manual labor: Vendor requests sit in the intake queue, certificates of insurance expire unnoticed, and findings go quiet while board decks eat up days that should have gone to judgment calls. The market's default answer is a single generalist AI agent asked to handle third-party risk.

Companies pouring money into AI are seeing only incremental gains, and One Data Chief Executive Officer Dr Andreas Böhm says poor data is a major reason. In a recent episode of the Don't Panic. It's Just Data podcast, Böhm joined the data whisperer Scott Taylor to discuss why SAP Business Warehouse migrations can give enterprises a valuable opportunity to improve the quality and usability of their data.

Meta has banned advertisements from ByteDance, the Chinese parent company of TikTok, on Facebook and Instagram. The ban took effect immediately in the US and six other countries: Canada, Egypt, Indonesia, Japan, Thailand and Vietnam. It also applies to third-party advertisers running campaigns that link to TikTok and other ByteDance properties in those countries, Meta said. Bloomberg News first reported the ban on Thursday. Reuters then confirmed it with a Meta spokesperson.

After a 48-hour investigation of the data breach that hit ASOS, cybersecurity experts have come to conclude that hackers obtained log-in credentials by gaining access to an employee account. The threat actors successfully managed to impersonate a trusted contact. They used the employee account details to access ASOS’s “information on third-party platforms,” according to the BBC.

Big Data LDN 2026, which took place on 23rd and 24th September at Kensington Olympia, opened with the theme of FROM OUTPUT TO OUTCOME - The Good, the Bad and the . The talk of the show floor this year was the context layer and agentic AI in production. In previous years, BDL conversations centered around Generative AI, then agentic AI, and now it’s all about the ontologies and putting those AI investments into production.

When a technology company announces that it's secured hundreds of megawatts of electricity for its AI data centres, it's easy to assume that another major infrastructure problem has been solved. After all, the company has found a power supplier, signed an agreement and secured what sounds like an enormous amount of electricity. Surely that means it's ready to start building? Well, not necessarily.

When you speak with Amarachukwu Eze, it quickly becomes clear that her perspective on enterprise technology goes beyond the technology itself. As a data and AI leader with an engineering background, she has spent her career helping organisations turn data into something they can use to make better decisions. But alongside that work, she is equally focused on the people who build, use and benefit from technology.