Trending topics & insights
Frontline Insights
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Your organisation needs an AI policy. What happens next?
Read more ↗: Your organisation needs an AI policy. What happens next?Practical guidance on AI policy and governance, particularly for organisations building their expertise: clear staff guidance and proportionate oversight.
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Critical PHP flaws: what businesses should do now
Read more ↗: Critical PHP flaws: what businesses should do nowCritical PHP vulnerabilities demand more than a WordPress update. What business leaders should verify with their hosting provider—and how to manage exposure and disruption.
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Your Cyber Risk Is Rated Low. What Was Actually Tested?
Read more ↗: Your Cyber Risk Is Rated Low. What Was Actually Tested?A low cyber risk rating can support an important business decision. Find out how to check what its evidence shows, recognise what remains uncertain, and agree the next step.
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Who Is Really Behind Your Research Partner?
Read more ↗: Who Is Really Behind Your Research Partner?A promising research collaboration can put valuable expertise within someone else’s reach. Drawing on MI5’s recent alert, we examine how leaders can check funding, agree access and use of results, and make informed partnership decisions.
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When Criminals Copy Your Customer Journey
Read more ↗: When Criminals Copy Your Customer JourneyA familiar brand and a convincing verification process can conceal a fraudulent website. The ZeroTokens research shows why protecting customer trust requires looking beyond your own systems.
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A Cyber Incident Doesn’t Always Start with a Hacker
Read more ↗: A Cyber Incident Doesn’t Always Start with a HackerA cyber incident does not always begin with a sophisticated intrusion. The Manchester Airports Group breach and NATS software outage reveal different risks around access, reliable information, and service continuity—and the questions business leaders should ask before those risks become…
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AI in financial services: adoption, impact and risks
Read more ↗: AI in financial services: adoption, impact and risksAmong firms in Cambridge’s global survey, AI use is common; proving value is harder. We explore what leaders should measure, which operational risks deserve attention, and when a use case is ready to scale.
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Who’s in charge when your AI makes a mistake?
Read more ↗: Who’s in charge when your AI makes a mistake?When an AI-assisted answer is wrong, who can stop it, correct the customer’s outcome, and decide what happens next? We examine the ownership and human review a business needs before that moment arrives.