Critical Infrastructure (CI) cybersecurity has witnessed an increase in breaches. Geopolitical tensions have contributed to this trend, as well as the fact that state-linked actors have more resources to penetrate industrial organizations.
Attacks on critical infrastructure are driving OT and IoT cybersecurity spending for OT industrial sectors that ABI Search forecasts are expected to reach nearly $4.6 billion by 2027.
“Industrial cybersecurity is seeing an expansion in updated technology offerings, including advanced firewalls suited for harsh environments, segmentation technologies that provide unidirectional data flows, and advanced monitoring and visibility solutions,” says Michael AmiriSenior Industrial and IoT Cybersecurity Analyst at ABI Research.
Industrial cybersecurity providers are also upping their game and offering their customers innovative solutions. Sellers such as Claroty, Otorio, Palo Alto NetworksAnd Dragos provide real-time monitoring and visibility across the industrial network by deploying machine learning (ML) and artificial intelligence (AI) to monitor network traffic behavior.
Amiri says real-time data analytics makes it possible to collect real-time data from the factory floor or remote operations, which was difficult to access before digitalization. This in turn improves decision-making and operational strategies.
Industrial cybersecurity providers are increasingly deploying advanced technologies such as ML. AI and ML are not buzzwords, but they are essential to achieving a comprehensive OT/ICS cyber strategy. AI and ML algorithms exhibit superior capabilities to detect anomalies and real threats in network traffic.
“They offer better solutions than traditional rules-based approaches to network security,” concludes Amiri.
