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Chinese cyber espionage growing across all industry sectors

CIO

The report also highlighted that Chinese groups continue to share malware tools a long-standing hallmark of Chinese cyber espionage with the KEYPLUG backdoor serving as a prime example. Vault Panda has used many malware families shared by Chinese threat actors, including KEYPLUG, Winnti, Melofee, HelloBot, and ShadowPad.

Industry 198
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Human firewalls: The first line of defense against cyber threats in 2025

CIO

In the past few months, infostealer malware has gained ground. Both the software and its data are sold on the dark web in the form of Malware-as-a-Service (MaaS). Both the software and its data are sold on the dark web in the form of Malware-as-a-Service (MaaS).

Firewall 148
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Trending Sources

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Chinese cyber espionage growing across all industry sectors

CIO

The report also highlighted that Chinese groups continue to share malware tools a long-standing hallmark of Chinese cyber espionage with the KEYPLUG backdoor serving as a prime example. Vault Panda has used many malware families shared by Chinese threat actors, including KEYPLUG, Winnti, Melofee, HelloBot, and ShadowPad.

Industry 147
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Enhancing Private 5G Security in industrial deployments

CIO

More than ever, businesses are concerned that threat actors could place malware on their OT networks and syphon valuable data over an extended period. Andre Ferreira, Director of Enterprise 5G Customer Solutions at NTT DATA, explains: “Increasing IT-OT convergence exposes OT networks to a broader range of external threats.

Industry 158
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AI in the Enterprise: 5 key findings of AI usage and threat trends

CIO

As organizations work to establish AI governance frameworks, many are taking a cautious approach, restricting access to certain AI applications as they refine policies around data protection. AI-powered cyberthreat protection: Detect and block AI-generated phishing campaigns, adversarial exploits, and AI-driven malware in real time.

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The Future of Machine Learning in Cybersecurity

CIO

Not all that long ago, it was common for enterprises to rely on signature-based detection for malware, static firewall rules for network traffic and access control lists (ACLs) to define security policies. Gaining malware samples is a lot harder than acquiring data in image processing and NLP.

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Cybersecurity Snapshot: CISA Warns of Global Spear-Phishing Threat, While OWASP Releases AI Security Resources

Tenable

Meanwhile, cybercriminals have amplified their use of malware for fake software-update attacks. That’s the main takeaway from the Center for Internet Security’s list of the 10 most prevalent malware used during the third quarter. Collectively, they accounted for 77% of the quarter’s malware infections.