A new era of cyber-threat
From silent and stealthy APTs, to fast-moving and destructive ransomware, cyber-attacks are outsmarting and outpacing defenders.
Security teams often struggle to differentiate subtle threats from normal business activity, relying on outdated tools incapable of keeping up with today’s attacks.
Stuck in the past
Traditional security tools widely in use today suffer from critical setbacks in three distinct areas.
Self-Learning AI: A unique approach
Reliance on traditional, legacy-based solutions is no longer adequate, and organizations are increasingly turning to Self-Learning AI to detect and autonomously respond to novel attacks.
The technology works by building an evolving understanding of your organization from scratch, allowing it to detect subtle outliers indicative of a threat in real time.
The following key trends in cyber-criminal activity threats have been observed across Darktrace’s customer base of over 5,500 organizations in 2021. The threat vectors are selected based on frequency of attacks, likelihood of success, and extent of financial and operational damage in the case of detonation.
Each trend is analyzed in detail by looking at a real-world threat discovered by AI in a customer environment. In every case, the threat in question slipped under the radar of the traditional security tools in place. By uncovering how Self-Learning AI was able to detect and remediate the threat based on off a series of subtle anomalies, the advantages of a self-learning, autonomous approach to cyber security is exemplified.
To buy back time for security teams, Self-Learning AI additionally carries out automated investigations that reduce time to triage by up to 92%. Combining expert analyst intuition with the speed and scalability of AI, this technology, called Cyber AI Analyst, connects the dots between disparate signs of attack...
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2021 Cyber-Threat Landscape: A New Era of Attack
Cyber-attacks are getting faster, stealthier, more sophisticated. Discover five key attack trends, and how to stay ahead of them with Self-Learning AI.
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