IT Department

AI‑Powered Threat Hunting: Faster, Smarter, but Still Human‑Centric

Security teams are racing to embed artificial intelligence into their hunt‑for‑baddies pipelines. AI can crunch millions of logs in seconds, spot anomalous patterns, and flag suspicious behavior before a traditional signature‑based system ever notices.

Yet experts warn that full automation is a double‑edged sword. An AI‑driven system that automatically isolates a compromised laptop might sound perfect—until it mistakenly shuts down a SCADA controller feeding a power plant. The cost of an unwarranted outage can dwarf any data breach.

“Technology alone won’t define resilience. The best teams hunt for behavior and intent, not just alerts,” says Dave Spencer, Director of Technical Product Management at Immersive.

Real‑World Example: The 2023 SolarWinds Incident

When the SolarWinds supply‑chain attack was uncovered, analysts discovered that static signatures failed to catch the novel backdoor. It was only after manual investigation of unusual network traffic that the breach was confirmed. Today, AI‑enabled UEBA (User and Entity Behavior Analytics) tools aim to spot such “behavioral drift” automatically, but a human analyst still validates the final decision.

IT/OT Convergence: Legacy Systems Meet Smart Controls

Industrial networks are no longer isolated islands. Information‑technology (IT) and operational‑technology (OT) environments are merging, creating a blended attack surface that mixes office‑level phishing with plant‑floor sabotage.

Older PLCs and legacy SCADA components often lack built‑in security, making them attractive footholds for attackers who can pivot into newer, AI‑enabled control systems.

“Success will depend on disciplined change management, exhaustive testing, and efficient use of maintenance windows,” warns Sam Maesschalck, Lead OT Cyber Security Engineer at Immersive.

Case Study: Ukrainian Power Grid Outage (2022)

Threat actors leveraged compromised VPN credentials to infiltrate the grid’s IT network, then moved laterally into OT devices that still ran outdated firmware. The incident sparked tighter NIST guidelines for IT/OT security and accelerated adoption of standards like ISA/IEC 62443.

Extortion 2.0: Data as Fuel for AI Models

Ransomware gangs are already selling stolen credentials on underground forums. The next wave could see criminals offering clean, labeled datasets to AI startups desperate for training material.

Because large language models thrive on high‑quality data, extortionists may demand higher premiums for “AI‑ready” datasets, turning data theft into a commodity market.

“Threat actors may threaten to sell stolen data to AI companies hungry for new training material,” predicts Ben McCarthy, Lead Cyber Security Engineer at Immersive.

Recent Trend: AI‑Assisted Malware

Proof‑of‑concept tools now let a malicious script call an LLM API to generate polymorphic code on the fly. This capability enables malware that adapts its payload in real time, evading static detection.

AI‑Driven Deception: The Rise of Hyper‑Realistic Social Engineering

Deepfake videos, AI‑generated voice clones, and personalized phishing lures are moving from novelty to everyday weapon.

When an AI can synthesize a CEO’s voice with perfect cadence, the “business email compromise” playbook becomes dramatically more convincing.

“Organizations that rely solely on technology, processes, and policies will fail,” says John Blythe, Director of Cyber Psychology at Immersive.

Did you know?

Building True Resilience: People, Process, and Technology

Resilience isn’t a checkbox; it’s a proven capability. Companies must demonstrate that automated defenses, legacy controls, and human operators can all respond in sync under pressure.

Key steps include:

• Running continuous red‑team exercises that blend AI‑based attack simulations with manual phishing drills.
• Maintaining an up‑to‑date asset inventory that spans both IT and OT environments.
• Adopting zero‑trust principles that enforce granular, context‑aware access across converged networks.

Pro tip

FAQ

• Will AI replace security analysts? No. AI augments analysts by filtering noise, but final judgement still rests with humans.
• How can legacy OT devices be protected? Use network segmentation, strict access controls, and overlay security gateways that inspect traffic without altering device firmware.
• Are deepfake attacks common today? They’re rising fast. A 2023 study by the FBI showed a 300 % increase in deepfake‑related fraud cases within a year.
• What regulations address IT/OT security? Standards like ISA/IEC 62443, NIST 800‑82, and emerging EU CSDR guidelines set baseline controls for converged environments.
• How should organizations test AI‑driven defenses? Conduct “attack‑in‑the‑loop” drills where AI tools generate simulated threats that analysts must investigate.

Next Steps for Your Organization

Ready to future‑proof your security posture? Start by mapping every asset—old PLCs, cloud workloads, and employee laptops—then layer AI‑enhanced monitoring on top of a solid zero‑trust framework. Finally, run regular, realistic tabletop exercises that blend AI‑generated phishing with hands‑on incident response.

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