By leveraging artificial intelligence (AI) and cloud computing, smart cybersecurity systems are helping to strengthen the utility industry's defenses. AI-powered cybersecurity is powerful because it provides real-time threat detection and response capabilities, increasing overall resilience against advanced cyber threats. And as these threats become more prolific and sophisticated, defenders need every advantage they can get.
Explanation
What is smart cybersecurity?Smart cybersecurity tools leverage AI, machine learning (ML), and automation to provide adaptive, proactive, and more efficient defense against evolving cyber threats compared to traditional or traditional cybersecurity. Unlike traditional security, which relies on predefined rules to block known threats, smart systems, powered by multiple layers of AI, learn from data and previous security incidents to identify anomalous behavior and respond to new or unknown attacks in real time. In other words, smart cybersecurity has the same ability to learn and improve over time as a human security analyst. The key characteristics of a smart cybersecurity defense approach are:
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Artificial Intelligence and Machine Learning: AI and ML quickly analyze vast amounts of data and identify complex cyberattack patterns. ML models continuously learn to improve detection and combat emerging threats such as zero-day vulnerabilities at a rate that humans cannot match.
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Automation and adaptive networks: Automation does the heavy lifting of repetitive tasks, enables continuous network monitoring, and automatically updates security policies and defenses (firewalls, antivirus, endpoints). This allows networks to instantly adjust security measures in response to threats, isolating compromised devices or blocking malicious traffic.
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Behavioral and identity analytics: Smart systems use AI to establish a baseline of normal activity, flag deviations as potential threats, and identify insider threats and compromised accounts that traditional signature-based systems often miss.
What is at risk and why?
Is all this AI really needed in today's power infrastructure? The hard truth is that the convergence of old and highly vulnerable legacy infrastructure with modern digital technology puts utility systems at significant risk of cyberattacks. Combining these two worlds creates numerous points of entry for attackers. The introduction of smart grids, IoT devices (such as smart meters and remote sensors), and the integration of OT and IT networks have expanded the attack surface for the utility industry. Previously isolated OT systems are now connected and vulnerable. Additionally, utilities often rely on outdated infrastructure and operational systems that have inadequate cybersecurity defenses and cannot be patched, creating critical security gaps that are easily exploited by today’s AI-assisted threats. Many utilities, especially smaller ones, struggle with limited security budgets and a lack of skilled cybersecurity professionals. As a result, security teams are often understaffed and require a reactive rather than proactive approach to security. The high value of national power grids makes them a prime target for nation states and cybercriminals. Recent attacks have shown malicious actors exploiting vulnerabilities such as default passwords to take over accounts, leading to service disruption and data theft. Disruptions to critical services like power and water have serious public safety and economic implications, and utilities targeted by lucrative ransomware are often forced to pay quickly to restore operations. For example, in September 2024, a water treatment facility in Arkansas City, Kansas, was the target of a cyber incident that temporarily switched to manual operations. Although no service interruptions occurred, the incident prompted a federal investigation. Several small water and wastewater facilities in Texas (Hale Center, Muleshoe, Lockney, and Abernathy) were breached by a pro-Russian hacktivist group in January 2024. The attacker posted a video showing him remotely interacting with a SCADA system, causing a water tank to overflow at Muleshoe for about 45 minutes. This vulnerability is due to Internet-connected devices that use common vendor software with default passwords. Chinese state-sponsored Bolt Typhoon hackers maintained persistent access into the Littleton, Massachusetts, Electric Light and Water Authority's network for several months as part of a broader espionage campaign targeting critical U.S. infrastructure (covered on 60 Minutes). Key entry points often included outdated software, default credentials, or internet-exposed systems that allowed access to remote critical infrastructure.
How AI protects smart grids
AI systems analyze real-time and historical network data to quickly identify suspicious activity and anomalies. Today's AI and ML can detect subtle behaviors such as anomalous logins or signs of malware that signal a compromise. This allows for faster detection and neutralization than traditional systems, and often automates alert triage and containment while reducing human error. AI helps utilities break down traditional silos between IT and OT networks. These modern security systems provide unified visibility and monitoring across your entire infrastructure, including control systems, smart meters, pipelines, business applications, and even the cloud, eliminating blind spots often exploited by attackers. AI-powered security solutions provide critical protection, especially against vulnerabilities introduced by third-party vendors and supply chain partners, as demonstrated by incidents such as the 2021 Colonial Pipeline ransomware attack. By continuously monitoring and analyzing emerging global threats, threat intelligence systems and AI-powered security tools enable utilities to proactively identify vulnerabilities and quickly respond to potential attacks. Essentially, GenAI-powered security acts as a vigilant, “always on” security analyst, constantly patrolling your network and broader environment for suspicious activity.
Five layers of AI to secure your smart grid
To take full advantage of AI-enhanced security, utilities must implement a layered defense strategy that includes architectural safeguards designed specifically for the AI era. This includes:
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First generation AI and deep learning ML to deliver predictive analytics.
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Generative AI to assist defenders, such as co-pilots and personal assistants.
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Using Graph ML, you can automatically correlate security alerts and events to surface attacks that are undetectable to the human eye.
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Hyperautomation is an evolution of SOAR (Security Orchestration, Automation, and Response) technology that enables security operations tasks to be performed with minimal human involvement.
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Agenttic AI. Empower lean security teams to move from reactive to proactive defense with minimal human oversight by operating with purpose-driven autonomy to prioritize threats and triage alerts.
Regardless of size or scope, a multi-layered AI approach to network detection and response dramatically increases the speed, scale, and efficiency of your security operations center (SOC) environment. By implementing multi-layered AI, security professionals can focus on more complex tasks to keep the smart grid protected.
final thoughts
The utility industry faces an escalating and sophisticated cyber threat landscape that is increasingly vulnerable to the integration of traditional infrastructure and modern digital technologies. Traditional security measures are no longer sufficient to effectively address this challenge. Implementing a smart AI-powered cybersecurity system with multiple layers of technologies such as Generative AI, Graph ML, Hyperautomation, and Agentic AI is more than just an enhancement; it is critical. This multi-layered approach allows utilities to achieve unified visibility, real-time threat detection and response, and the ability to move from reactive to proactive. By adopting these architectural safeguards, security teams can significantly increase the speed, scale, and efficiency of their security operations center (SOC) environments, ensuring continued protection and resiliency of the nation's critical power infrastructure in the AI era and beyond. —Subo Guha At Stellar Cyber, he is Senior Vice President of Product Management, where he leads the development of the company's award-winning, AI-driven Open XDR solution.
