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Ransomware suspected as visa applications are hit

Jose Luis Huertas boasted of accessing 90% of Spaniards’ info

The figure rises to 70% of those in the US

The cybersecurity challenges of the Internet of Medical Things (IoMT) are still largely unanswered

New research: “Achilles Heels for AGI/ASI via Decision Theoretic Adversaries“:

As progress in AI continues to advance, it is important to know how advanced systems will make choices and in what ways they may fail. Machines can already outsmart humans in some domains, and understanding how to safely build ones which may have capabilities at or above the human level is of particular concern. One might suspect that artificially generally intelligent (AGI) and artificially superintelligent (ASI) will be systems that humans cannot reliably outsmart. As a challenge to this assumption, this paper presents the Achilles Heel hypothesis which states that even a potentially superintelligent system may nonetheless have stable decision-theoretic delusions which cause them to make irrational decisions in adversarial settings. In a survey of key dilemmas and paradoxes from the decision theory literature, a number of these potential Achilles Heels are discussed in context of this hypothesis. Several novel contributions are made toward understanding the ways in which these weaknesses might be implanted into a system.

Scanning tools, supply-chain malware, Wi-Fi hacking, and why there should be TWO World Backup Days… listen now!

Z2U users accused of selling online accounts and malware

Cybercrime marketplace facilitated trade in stolen credentials

The National Cyber Force, a joint agency between GCHQ and the Ministry of Defence, revealed the principles ruling its cyber operations

Microsoft’s Sarah Armstrong-Smith explains why past incidents are crucial to informing our incident response strategies