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The developers of Emotet are trying out some different maneuvers. The Defense Department has its first digital and AI officer. And watch video interviews from the Zero Trust Summit. This is CyberScoop for April 26.

Emotet malware devs working on some tweaks

The developers behind the Emotet malware — which serves as both prolific botnet malware and as a highly capable delivery system for additional malware — were observed recently launching small-scale campaigns seemingly designed to test new methods of bypassing security protocols, researchers with cybersecurity firm Proofpoint said Tuesday. The testing involved ways of delivering the malware without relying on automations within Microsoft files known as macros, which attackers have frequently used to deliver malware to targeted computers. Microsoft has made that process more difficult for hackers, and Tuesday's research suggests the Emotet devs are trying to figure it out. AJ Vicens has more.

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Pentagon hires first chief digital and AI officer from Lyft

Craig Martell has left his role as head of machine learning for Silicon Valley rideshare company Lyft to be the Pentagon’s first chief digital and artificial intelligence officer, the Department of Defense announced Monday. Martell has also held machine learning and AI roles at Dropbox and Linkedin. His professional experience with the U.S. military is limited to his service as a tenured computer science professor at the Naval Postgraduate School specializing in natural language processing, FedScoop reported. Billy Mitchell writes.

Combatant commander tasked with homeland defense warns of shortage of AI capabilities

U.S. Northern Command and North American Aerospace Defense Command don’t have sufficient artificial intelligence and machine learning capabilities, the dual-hatted chief of both organizations warned Monday. Gen. Glen VanHerck, commander of U.S. Northern Command and North American Aerospace Defense Command, told the Defense Writers Group that the Pentagon is pursuing new space-based sensors, communications systems and other capabilities to improve situational awareness. But it needs AI to better crunch and share the data it collects. Jon Harper has the story at FedScoop.

Texas school district fires employee after crypto mining devices discovered

A school district in Texas last week said it has fired an employee suspected of installing cryptocurrency mining devices in six different school buildings. The employee, who has not been named, was let go from the Galveston Independent School District after IT staff discovered the crypto rigs. According to the Galveston Daily News, the district’s IT team noticed earlier this month that network traffic had spiked unusually, leading to IT workers discovering the devices sold by Bobcat, a company that sells Wi-Fi hotspots designed to plumb for a digital token called HNT, which can in turn be traded for better-known currencies like bitcoin and ethereum. Like other cryptocurrencies, HNT is produced by computers solving complex mathematical equations, a process that can sap huge amounts of data and energy. Read more from Benjamin Freed at StateScoop.

WATCH: Interviews from the 2022 Zero Trust Summit

Cybersecurity decision-makers from the public and private sectors joined CyberScoop at the Zero Trust Summit to discuss the adoption of zero trust across government, supply chain security and cloud security. Tune in for exclusive interviews with:

Find everything from the event here.

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