Advanced next-generation threat detection solutions leader, CyTwist, has introduced its patented detection engine to address the insidious rise of AI-generated malware.
As attackers begin using the power of artificial intelligence in their attacks to make them smarter and evasive, the cybersecurity landscape evolves. Advanced malware and enhanced cyberattacks resulting from AI are a threat multiplier. The rapid escalation of threat is making old-time defenses almost futile. There lies a business-critical imperative in adapting this new era of cyber warfare by its speed, sophistication, and adaptability.
AI has altered the dynamics of cyber conflict, enabling attackers to execute sophisticated operations previously associated with state-sponsored entities. AI-generated phishing emails, adaptive botnets, and automated reconnaissance tools are now common components of cybercriminal tactics. These technologies bypass signature-based defenses and mimic legitimate behavior, making detection more challenging.
For example, in a recent attack on French corporates and government agencies, an AI-engineered malware exploited advanced techniques like COM hijacking and encrypted payloads, enabling attackers to remain undetected for extended periods, exfiltrate sensitive data, and establish long-term persistence within the network. This incident highlights three key risks of AI-driven attacks:
Sophistication: AI allows attacks to evolve in real-time, rendering static defenses obsolete.
Speed: Automated reconnaissance and attack execution drastically reduce the time needed to breach networks and execute the attack.
Evasion: AI-generated threats mimic human behavior, complicating detection for security teams.
In response to this growing challenge, CyTwist has developed a patented detection engine that identifies stealthy, AI-driven attack campaigns and malware that bypass traditional security tools, including leading EDR and XDR solutions. By leveraging advanced behavioral analysis, CyTwist Profiler identifies new and emerging threats in real time, stopping attackers before they can cause harm.
CyTwist recently demonstrated its advanced detection capabilities during a red team simulation with a major telecommunications provider. The exercise mirrored the sophisticated techniques observed in the recent attack on French organizations and government agencies, employing AI-generated malware with encryption and evasion tactics. While the existing security tools failed to detect the attack, CyTwist’s solution identified malicious activity within minutes.
The head of incident response at the telecom operator highlighted the tool’s value, stating “We were impressed by CyTwist’s capability of detecting sophisticated, AI-generated malware that our EDR had failed to pick up. CyTwist provided the critical insights we needed to detect the attack in time, adding a valuable security layer against AI-generated threats.”
This simulation underscored the importance of adopting advanced technologies to address modern cyber challenges.
“The use of AI in cyberattacks is reshaping the threat landscape, enabling attackers to operate elusively and at speed, capable of gliding past traditional security solutions. Our patented detection engine is specifically engineered to address these challenges.” Said Eran Orzel, CEO of CyTwist.
As organizations face increasing threats from AI-driven attacks, proactive strategies are essential. Key recommendations include:
1. Leverage Advanced Detection Technologies: The dynamic nature of modern cyber threats cannot be defeated by traditional detection tools. The modern detection tools that use AI, machine learning, behavioral analytics, and anomaly detection are needed to find threats that the traditional approach has missed.
2. Accelerated Detection and Response: The thing about responding to AI-driven threats is that speed really matters here. Continuous monitoring and automated response systems enable a quicker containment and real-time triage tools help the security team focus more on critical alerts and dispense with noise.
3. Resilience by way of security frameworks that can be highly adaptive, containing advanced detection tools, will facilitate the response in real time towards emerging threats. Regular training to the security team is required in order to enhance the skills of countering latest AI-driven methods of attacks.
CyTwist's patented detection engine is an important advancement towards the handling of AI-enhanced cyber threats to organizations, so they are armed with the tooling required in this complex new landscape.
To learn more about CyTwist’s cutting-edge solutions, users can visit cytwist.com or reach out via contact@cytwist.com.
CyTwist is an advanced cybersecurity solution, specializing in next-generation threat detection and response. Its patented detection engine enables organizations to stay ahead of evolving threats, providing unmatched protection against stealthy, AI-generated attacks and novel malware. CyTwist was founded by a team of experienced cybersecurity professionals and former intelligence officers who bring extensive expertise in counterintelligence and cybersecurity.
In an era where attackers leverage AI to outpace traditional defenses, CyTwist Profiler provides a critical layer of security, enabling organizations to detect, investigate, and neutralize threats before they cause harm.