CyTwist Unveils Advanced Security Technology to Combat AI-Generated Malware

Ramat Gan, Israel - January 7, 2025 - CyTwist, a leader in next-generation threat intelligence, has launched its patented detection engine to combat the rise of AI-generated malware and sophisticated cyberattacks.

AI-Powered Cybersecurity Threat Landscape

As artificial intelligence (AI) is increasingly harnessed to develop sophisticated attack tactics, traditional security measures are facing challenges in detecting and preventing them. AI-driven tools such as phishing emails, adaptive botnets, and automated reconnaissance software are becoming the go-to weapon for cybercriminals, easily bypassing signature-based defenses and mimicking legitimate behavior.

A recent attack on companies and government agencies in France illustrates the dangers of AI-driven cyberattacks. Hackers use AI malware to exploit COM hijacking techniques and encrypted payloads, allowing them to operate anonymously for long periods of time, steal sensitive data, and maintain control of networks.

Three key characteristics of these attacks include:

Sophistication: AI allows hackers to constantly change tactics, making static defenses obsolete.

Speed: AI attacks can reconnaissance and penetrate systems in a short period of time.

Evasion: AI-generated malware can mimic legitimate behavior, making it difficult for security teams to detect.

CyTwist - Advanced Threat Detection Solution

To address these challenges, CyTwist has developed CyTwist Profiler, an advanced detection engine that can identify malware and AI-driven attack campaigns that traditional EDR and XDR solutions cannot detect.

In an attack simulation at a large telecommunications corporation, CyTwist demonstrated its superior ability to detect threats within minutes, while other security solutions failed to detect them. A representative of this telecommunications company commented: "We were very impressed with CyTwist's ability to detect AI-generated malware. This tool helps us identify and respond to threats that our existing EDR systems miss."

AI-Driven Threat Prevention Strategies

To protect against AI-driven threats, organizations need to adopt proactive security strategies, including:

Advanced detection technologies: Solutions based on AI, machine learning, and behavioral analytics are needed to detect emerging threats.

Prioritize detection and rapid response: Continuous monitoring and automated response help reduce the risk of attacks.

Enhance resilience: Organizations need to implement a flexible security framework, combined with extensive training for cybersecurity teams.

The future of cybersecurity with CyTwist

With the continuous growth of AI-driven attacks, adopting advanced security solutions like CyTwist Profiler is a critical step forward to protect data and networks. CyTwist's technology provides a new layer of defense, helping organizations detect, investigate, and neutralize threats before they cause damage.