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News alert: CyTwist launches threat detection engine tuned to identify AI-driven malware in minutes

The Last Watchdog

Ramat Gan, Israel, January 7th, 2025, CyberNewswire — CyTwist , a leader in advanced next-generation threat detection solutions, has launched its patented detection engine to combat the insidious rise of AI-generated malware.

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LW ROUNDTABLE — How 2024’s cyber threats will transform the security landscape in 2025

The Last Watchdog

Hurd Wayne Hurd , VP of Sales, Luminys Video Surveillance as a Service (VSaaS) advancements will provide more accurate threat detection that allows security teams to focus on real risks, minimizing false alarms. Security teams will need to address the unique risks posed using LLMs in mission critical environments. million (NIST, WEF).

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Streamlining detection engineering in security operation centers

SecureList

Inefficient use of data for correlation in many cases, relevant data is available to detect threats, but there are no correlation rules in place to leverage it for threat detection. This article focuses solely on SIEM-based detection management. This only leads to the degradation of the log visibility matrix.

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Threat Detection Software: A Deep Dive

CyberSecurity Insiders

As the threat landscape evolves and multiplies with more advanced attacks than ever, defending against these modern cyber threats is a monumental challenge for almost any. Threat detection is about an organization’s ability to accurately identify threats, be it to. organization. and assets. forms of malware.

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LinkedIn bolsters its cyber threat detection with Moonbase

CyberSecurity Insiders

LinkedIn, a professional social networking platform having 20,000 employees serving about 874 million members, has bolstered its IT Infrastructure to protect against the prevailing sophistication driven cybersecurity threats. The post LinkedIn bolsters its cyber threat detection with Moonbase appeared first on Cybersecurity Insiders.

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Google's AI Trends Report: Key Insights and Cybersecurity Implications

SecureWorld News

AI-powered threat detection is enabling organizations to identify and neutralize attacks faster, but adversarial AI is also supercharging cyber threats. According to the report: "AI can analyze vast amounts of security data in real time, identifying anomalies and potential threats faster than traditional methods.

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LW ROUNDTABLE:  Predictive analytics, full-stack visualization to solidify cyber defenses in 2025

The Last Watchdog

Organizations face rising risks of AI-driven social engineering and personal device breaches. Despite widespread cloud adoption, most SecOps teams rely on outdated, on-premises alert tools, leading to missed threats and wasted resources on false positives. As tech complexity rises, Zero-Trust remains critical for robust cybersecurity.

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