Frontier AI for OT: Part 1

Frontier AI and the OT threat landscape

We kick off this two-part mini-series by exploring how frontier AI is fundamentally reshaping operational technology (OT) security. Whether you are actively adopting AI or holding off, threat actors are already using it, making it critical to understand how this shifts your cyber risk and exposure management strategies.

[00:00:03] Setting the scene: AI and the evolving threat landscape

As the line between IT and OT blurs, you must understand how AI changes the fundamental speed and scale of potential breaches.

• Asset expansion: We must consider AI and digital identities as essential components of your rapidly expanding asset inventory.
• Machine-speed threats: Attackers are shifting from human speed to machine speed, increasing cyber risk and the rate at which vulnerabilities emerge.

[00:04:02] The democratization of hacking and vulnerability tsunamis

AI has lowered the barrier to entry, empowering mediocre hackers to execute expert-level cyber attacks and rapidly exploit newly discovered vulnerabilities.

• Lower barriers: Generative AI and agentic AI allow threat actors to autonomously build malicious tools and map complex networks.
• Real-world examples: A Mexican water utility was recently compromised by attackers who used AI models to map the environment and uncover an attack path.
• Diminishing reaction times: The window between a published vulnerability and an active cyber attack has shrunk to roughly 1.6 days.

[00:10:32] Protecting assets when you cannot patch

In OT environments where patching legacy systems is difficult, traditional security principles and well-designed network architecture remain your strongest defenses.

• Preemptive disruption: You must adopt proactive strategies, utilizing the same machine-speed tooling as attackers to discover weaknesses internally before they are exploited.
• Network architecture: Implementing strict choke points and access controls ensures that AI cannot bypass basic network physics.
• Local AI threats: Attackers can bypass ethical guardrails by running uncensored, local AI models on personal devices to generate malicious tooling autonomously.

[00:15:18] Analyzing attack paths and your data fabric

Securing your environment requires a deep understanding of how devices communicate and how attackers move laterally across them.

• Attack surface discovery: We use machine learning systems to scan your domain and reveal potential entry points.
• Dual-space mapping: Viable attack paths involve both the conversational connections between your machines and the privilege escalation needed to gain access.
• Agentic AI mitigation: You can use AI to run continuous simulations safely, helping you identify weaknesses and implement compensating controls.

[00:19:54] Securing your OT attack surface

Your OT infrastructure presents unique challenges, especially regarding third-party access, legacy components, and unpatched Windows machines.

• Third-party risk: External support teams often use unsanctioned access methods, making privileged access management critical to your security posture.
• IT and OT convergence: Connections to external networks, cloud workloads, and enterprise resource planning systems introduce new avenues for cyber threats.
• Platform visibility: Replacing siloed security tools with a unified platform gives you seamless, cross-domain visibility.

[00:24:43] Moving to unified exposure management

Managing endless alerts from siloed security tools creates an unmanageable cognitive load, making consolidation essential.

• Data reduction: Tenable One surfaces unified signals from across your endpoints, networks, and vulnerability management systems to reduce alert fatigue.
• Contextual prioritization: By mapping assets directly to business processes, we help you understand your metrics and address the most critical cyber exposure first.

[00:28:49] Automating workflows with agentic AI and local models

You can dramatically simplify day-to-day operations by connecting your preferred AI models directly to Tenable One and your internal workflows.

• Automated workflows: You can instruct AI to find critical vulnerabilities lacking support tickets and automatically generate them.
• Flexible integration: We enable seamless integration with popular cloud models or highly secure, on-premises AI solutions.
• Data privacy: Using a local AI model ensures sensitive OT data never leaves your environment and eliminates unpredictable token costs.

[00:32:27] The art of the possible with MCP servers

Model Context Protocol (MCP) servers act as the technical bridge between your AI models and your local systems.

• System interaction: MCPs enable AI to list, query, and categorize assets or vulnerabilities seamlessly via standardized commands.
• Local application: We are building a dedicated MCP for Tenable OT Security to give you localized, AI-driven event management directly within your highly prized environments.

[00:34:15] Navigating your exposure management journey

Achieving total unification across IT and OT is a gradual process, but transitioning to an exposure-centric strategy gives you a clear path forward.

• Bridging the gap: While many organizations struggle with OT security complexities, moving away from finding-centric tools improves your overall resilience.
• Optimized environments: Unifying your tools provides cross-domain context, enabling advanced attack path analytics and reliable cyber risk metrics.

[00:40:45] Q&A: Platform migrations and defensive AI

During the Q&A, we addressed common concerns about upgrading legacy systems and the foundational differences between offensive and defensive AI applications.

• Smooth migrations: Moving from Tenable Security Center to Tenable One is supported by dedicated automation tools and consultancy to ensure a seamless transition.
• Proactive defense: While offensive AI only needs to succeed once, defensive AI succeeds by continuously shifting your strategy from reactive mitigation to proactive exposure reduction.
• AI as an adjunct: AI is a powerful assistant designed to augment your existing skills through pattern recognition, not to replace your security team.

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