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✦ AI Summary· Claude Sonnet
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Digital Transformation
This Week’s Top 5 Stories in Technology
By Maya Derrick
September 05, 2025
3 mins
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Lisa Kearney, CEO of the Women CyberSecurity Society (WCS2) and Founder of Women in Cyber Day
Women in Cyber Day was celebrated on Monday, with other top stories this week featuring Trend Micro, JLR, Google and Atlassian
Women in Cyber Day 2025: Empowering the Industry’s Talent
The global cybersecurity field is overwhelmingly male-dominated, with women in only around 22% of roles, according to ISC²’s Cybersecurity Workforce Study.
However, it’s not all bleak stats.
Although a little over a fifth of the cyber workforce is made up by women, ISC² finds that 55% of female respondents to its study are in managerial or higher positions in their organisations.
Women in Cyber Day, also known as International Women in Cyber Day (IWCD), is celebrated on 1 September every year and works to recognise and uplift the vital contributions of women in the cybersecurity field.
Monopoly Question Answered Now Google Isn’t Selling Chrome
When you think of internet browsers, which spring to mind first? Microsoft Edge? Safari? Chrome?
For more than a decade, Google Chrome has been a dominant force in the global browser market.
With close to two-thirds of all internet users browsing via Chrome, regulators in the US, Europe and beyond have consistently struggled with the question: does Google’s ownership of Chrome represent a monopoly and should the company be required to spin it off?
How JLR's Cyber Breach is Disrupting Global Operations
Jaguar Land Rover (JLR) has been hit by a major cyber attack that has caused widespread disruption across its global production and retail operations.
In response, the British luxury carmaker took the precautionary step of shutting down its IT systems and suspending manufacturing at key facilities.
While current assessments indicate that customer data has not been compromised, the breach has triggered serious operational and commercial setbacks, underscoring the escalating cyber risks faced by the automotive sector.
The incident follows a series of high-profile cyber attacks on well-known brands including M&S, Co-op and Harrods.
How Atlassian’s Cycle Deal Powers Jira Product Discovery
Product managers are drowning in feedback. Scattered across Slack channels, buried in support tickets, lost in spreadsheets: customer insights exist everywhere and nowhere at once.
Atlassian has announced it has acquired Cycle, the AI-powered feedback management platform founded in 2019 by Mehdi Boudoukhane with backing from startup studio Hexa, to tackle this reality.
The European company will integrate its technology into Jira Product Discovery, Atlassian’s product management tool that serves over 20,000 customers worldwide. The move addresses a crisis hiding in plain sight: Atlassian’s 2025 State of Product Report reveals that 84% of product managers expect their products to fail, not because they cannot deliver but because they lack confidence in what to build.
“I still remember the early days of building Jira Product Discovery,” says Tanguy Crusson, Head of Product for Jira Product Discovery at Atlassian. “We were sitting in a room with sticky notes everywhere, trying to make sense of dozens of customer interviews, competitor reviews and feedback from our sales, support and customer success teams. It was messy,” he says.
The mess has not improved. Modern product managers navigate a labyrinth of tools.
“As a PM, I’ve lived the reality: jumping between spreadsheets, survey tools, support tickets, community threads and Slack, just to piece together what customers actually need.”
Trend Micro: AI Enables “Vibe-Coded” Copycat Cybercrime
Cybersecurity leader Trend Micro is exposing the growing threat of AI-enabled cybercrime where malicious actors leverage AI tools to translate technical security blogs and public threat intelligence into “vibe-coded” malware.
This trend dramatically lowers the barriers for copycat cyberattacks, empowering criminals to rapidly prototype malware by reusing fragments of known espionage toolkits detailed in public research.
While AI-generated code is often incomplete and requires human expertise to weaponise, it gives attackers a significant head start – enabling them to refine and repurpose these malicious payloads more efficiently than ever before.
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