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Tenable Bolsters Its Cloud Security Arsenal with Malware Detection

Tenable

Tenable Cloud Security is enhancing its capabilities with malware detection. Even though cloud adoption has become mainstream, many threats and attack tactics still rely on malware payloads. Tenable Cloud Security can now find malware in many different cloud workloads. The addition of malware detection enhances this approach.

Malware 71
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The Dark Side of AI in Cybersecurity — AI-Generated Malware

Palo Alto Networks

In a thought-provoking interview on the Threat Vector podcast , Palo Alto Networks researchers Bar Matalon and Rem Dudas shed light on their groundbreaking research into AI-generated malware and shared their predictions for the future of AI in cybersecurity. We did that for different operating systems – for Windows, macOS and Linux.

Malware 84
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Agentless Workload Scanning Gets Supercharged with Malware Scanning

Prisma Clud

Using WildFire in 2021 to analyze malicious files, our threat research team discovered a 73% increase in Cobalt Strike malware samples compared to 2020. The speed, volume and sophistication of modern malware attacks has made them more difficult to detect. This leaves a potentially damaging gap in their cloud security strategy.

Malware 76
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Unit 42 Discovers First Known Malware Targeting Windows Containers

Palo Alto Networks

The Unit 42 cybersecurity consulting group published research on the first known malware targeting Windows containers, which was discovered by Unit 42 researcher Daniel Prizmant and named Siloscape. The post Unit 42 Discovers First Known Malware Targeting Windows Containers appeared first on Palo Alto Networks Blog.

Malware 90
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An Edge Vision for the Metaverse

CIO

After all, you wouldn’t want your haptic glove to misbehave in the metaverse or your autonomous vehicle sensors to be hijacked by malware. Operating Systems for the edge. Separating system and application spaces is already gaining followers for immutable Linux operating systems – even in consumer devices.

CTO 223
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AI Applications in Cybersecurity with Real-Life Examples

Altexsoft

You can use regression to predict system calls of operating systems, and then identify anomalies by comparing the prediction to an actual call. Clustering works directly on new data without considering previous examples. AI Applications in Cybersecurity: Real Life Examples. Detection of sophisticated cyber-attacks.

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Non-functional Requirements: Examples, Types, How to Approach

Altexsoft

How fast does the system return results? Which hardware, operating systems, browsers, and their versions does the software run on? Compatibility defines how a system can co-exist with another system in the same environment. Example of portability and compatibility requirements of Visual Studio IDE.

Examples 103