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Articles by Subo Guha
Why a secure industrial supply chain depends on layered AI
A secure industrial supply chain is no longer defined by physical controls around a defined network perimeter and contractual safeguards with suppliers. In an era of maturing artificial intelligence, open-source software, interconnected vendor ecosystems, and increasingly sophisticated cyberattacks, supply chain resilience also depends on two foundational elements: behavioral (including identity) data and layered artificial intelligence.
Why OT Systems are the Backbone of Industry 4.0
Software & Technology Emerging Technologies Protecting the OT backbone of Industry 4.0 is no longer optional—it's a strategic imperative. Here's why. Subo Guha Dec 29, 2025 Stellar Cyber metamorworks AdobeStock_470811554 digital transformatio If Industry 4.0, or the Fourth Industrial Revolution (4IR), is the foundation of smart manufacturing, then operational technology (OT) systems form its backbone.
The Five Layers of AI Safeguarding the Utility Industry Original
By utilizing artificial intelligence (AI) and cloud computing, smart cybersecurity systems are helping to bolster the utility industry’s defenses. AI-powered cybersecurity is powerful because it enhances overall resilience to sophisticated cyber threats by providing real-time threat detection and response capabilities. And at a time when these threats are becoming more prolific and sophisticated, defenders need every advantage they can get. What is smart cybersecurity?
Redefining Supply Chain Cyber Resilience With Network Detection and Response
Network detection and response is an emerging category of cyber defense that’s changing how security teams build more resilient systems. NDR is especially relevant in manufacturing supply chains, because it bolsters visibility across interconnected systems and detects suspicious behaviors that extend beyond a plant’s firewalls and endpoints.
Subo Guha
Design News is part of the Informa Markets Division of Informa PLC This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.
Building an AI-Powered OT Cybersecurity Strategy
When implemented with the right security strategy, AI can ensure OT asset and network visibility, help detect threats, promote manufacturing uptime, and much more.
AI is Transforming Manufacturing Cybersecurity from Threat Detection to Compliance Automation
Manufacturers can deploy AI systems to continuously monitor IT/OT environments, automatically detect anomalies and respond to cyber threats faster than humanly possible. AI streamlines regulatory compliance by automatically collecting and classifying data, generating audit reports, conducting proactive risk assessments and maintaining explainable decision-making trails required by industry standards like FDA, IEC 62443 and ISO frameworks.
The Best Defense Against AI Cyberattacks? AI
Artificial intelligence promises, and in many cases delivers, unprecedented leaps in productivity, efficiency and operational agility in manufacturing—streamlining supply chains, improving visibility and quality and optimizing complex production lines. But AI has also ushered in a new era of cybersecurity concern across the recently converged IT and OT environments. Since 2019, the manufacturing industry has experienced a 300% surge in cyberattacks.
How agentic AI can be a 'force multiplier' in IT and OT cybersecurity
What you’ll learn: Unlike traditional AI, agentic AI pursues objectives rather than simply answering questions or following scripts. The drawback to IT/OT convergence is it has significantly expanded the manufacturing “attack surface.” Agentic AI can promote cross-plant security awareness by detecting and neutralizing potential coordinated attacks across multiple facilities. Let’s talk about agentic AI and its ability to be a mighty cybersecurity tool in manufacturing. First, what is agentic AI?
Agentic AI promises to add a force multiplier for mid-market security teams
COMMENTARY: We’ve been hearing a great deal about Agentic AI in the cybersecurity community these past several months. Most of it has been cautionary tales about adversaries using Agentic AI systems to scale their targeted attacks against enterprises. However, more vendors and security teams are examining the use of Agentic AI to defend against attacks, leveling the playing field.
Building a Better Security Analyst: What Humans Can Learn From AI
Bots have been around for more than half a century to automate repetitive tasks and provide services on early internet platforms. The first was ELIZA, developed as a research project in 1966 at the Massachusetts Institute of Technology (MIT) the goal was to simulate conversations with a human being. ELIZA conversed with users, although it did not understand what the user was saying. Artificial intelligence chatbots are much more sophisticated versions of ELIZA, but still lack human comprehension.
Cybersecurity’s Early Warning System: How Live Network Traffic Analysis Detects The ‘Shock Wave’ Before the Breach ‘Tsunami’
According to IBM, it takes businesses about 197 days on average to identify a data breach and another 69 days to contain it. That response time in the context of today’s threat landscape is simply unsustainable, especially when you consider that organizations are spending more than ever on cybersecurity tools and yet are still missing signs of an attack.
Human-Augmented Autonomous SOC Archives
Cybersecurity’s Early Warning System: How Live Network Traffic Analysis Detects The ‘Shock Wave’ Before the Breach ‘Tsunami’ Security teams can analyze live network traffic, an approach also known as network detection and response, and be more proactive in detecting the warning signs of an impending breach ...
AI Is Changing Cybersecurity Fast and Most Analysts Aren’t Ready
Conventional thinking about AI and automation is that they require a great deal of upfront training and human input to be successful. This is undoubtedly true, especially when it comes to genAI and large language models (LLMs). The more knowledge and thoughtfulness humans take in training an AI model in the early stages, the more automation, decision-making, and tasks AI can take on later. This is not a one-way street. AI can also be a powerful learning tool for humans.
Humans are the Beating Heart of the Autonomous SOC
One of the hottest cybersecurity buzzwords to emerge in 2024, which will undoubtedly be discussed at length at the upcoming 2025 RSA Conference, is the “autonomous security operations center (SOC).” Larger security vendors are racing to be the first to put a stake in the ground with product launches, making grand claims of being the industry’s first fully autonomous SOC that can detect threats faster than human security analysts.
What's new in Teams - Microsoft Ignite Edition
At Microsoft Ignite, we announced a broad set of new capabilities that make Microsoft Teams an even more powerful hub for teamwork. We’ve got a lot of news to share, so grab your beverage of choice and settle in to learn what’s new in Teams across meetings, devices, calling, collaboration and app development. Check out this Microsoft Mechanics Live video for more.
Cybersecurity News and Expert Analysis
Please turn on your JavaScript for this page to function normally. Focus spotlight Download: 2026 SANS Identity Threats & Defenses Survey Report: The State of Threat Exposure Management
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