What tool can be used to protect complex industrial environments against known and unknown attacks across the Purdue model?

The correct choice is Darktrace, which is an advanced cybersecurity tool utilizing artificial intelligence to detect and respond to threats in complex industrial environments. Darktrace is particularly effective across the Purdue model because it operates on the principle of self-learning — it establishes a baseline of normal operations within an organization’s network and continuously monitors for anomalies that could indicate both known and unknown threats.

This capability allows Darktrace to adapt and respond to evolving tactics used by attackers, thereby providing a robust defense for industrial systems that often face sophisticated and adaptive threats. Furthermore, its ability to analyze network traffic at a granular level helps in protecting the various layers of the Purdue model, which includes different tiers of industrial operations from the enterprise level down to the field devices.

In contrast, while other tools like IDS, firewalls, and antivirus software are integral parts of a cybersecurity strategy, they generally focus on specific aspects of defense or attack detection. An IDS primarily monitors for known attack patterns and behaviors but may not be effective against novel or evolving threats. Firewalls serve as a barrier to control traffic based on predetermined security rules, and antivirus software is designed to identify and mitigate known malware. However, none of these options can match the autonomous and adaptive learning capabilities of Darktrace when it comes to managing complex