ESET Launches Its $40 Million AI Cybersecurity Program
Edited by Adam Harrie — May 28, 2026 — Tech
This article was written with the assistance of AI.
References: techwireasia
ESET unveiled a $40 million AI cybersecurity initiative at ESET World 2026 focused on developing proprietary AI security models, protecting AI-driven systems and improving large-scale security data processing. Announced by CEO Richard Marko in Berlin, the program highlighted emerging risks tied to autonomous AI agents and referenced ESET’s OpenClaw research into malicious and suspicious AI “skills.”
The investment targets three primary areas: internally developed AI foundation models trained on cybersecurity datasets, layered protections for agent-to-agent and browser-to-LLM communication, and new systems for enriching and categorizing XDR telemetry. ESET also introduced early-stage LiveCortex development, private-scanning tools for sensitive deployments and a network probe designed to integrate with its XDR platform using packet inspection and threat-intelligence enrichment.
For enterprises and security teams, the initiative reflects growing demand for AI-specific defenses, sovereign AI infrastructure and layered protections for increasingly autonomous systems. The strategy aligns with broader cybersecurity trends emphasizing AI governance, data sovereignty and scalable detection capabilities for mission-critical environments.
Image Credit: ESET
The investment targets three primary areas: internally developed AI foundation models trained on cybersecurity datasets, layered protections for agent-to-agent and browser-to-LLM communication, and new systems for enriching and categorizing XDR telemetry. ESET also introduced early-stage LiveCortex development, private-scanning tools for sensitive deployments and a network probe designed to integrate with its XDR platform using packet inspection and threat-intelligence enrichment.
For enterprises and security teams, the initiative reflects growing demand for AI-specific defenses, sovereign AI infrastructure and layered protections for increasingly autonomous systems. The strategy aligns with broader cybersecurity trends emphasizing AI governance, data sovereignty and scalable detection capabilities for mission-critical environments.
Image Credit: ESET
How companies are securing AI agents and automated workflows
Informs decisions on whether to adopt AI-agent tools, add AI-specific security, and what protections to prioritize when buying security software.
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When was the last time your org used AI to take actions in work tools?
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If you were adding AI agents at work, would you add AI-specific security too?
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Which AI security feature would you prioritize first?
Trend Themes
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AI-native Threat Modeling — Development of security foundation models tailored to cyber datasets enables predictive identification of novel AI-driven attack patterns and automated threat attribution.
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Sovereign AI Infrastructure — Growing demand for private-scanning tools and on-premise AI stacks indicates opportunities for localized, compliant model hosting and data-residency assurance.
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Layered Agent Communication Security — Protections for agent-to-agent and browser-to-LLM channels suggest new protocols and inspection systems for securing emergent autonomous workflows.
Industry Implications
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Enterprise Cybersecurity — XDR enrichment and LiveCortex-style telemetry processing point to platforms that fuse packet inspection with AI reasoning to elevate enterprise threat detection.
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Cloud Service Providers — Integration of private AI scanning and sovereign model hosting signals potential for cloud-native secure enclaves and certified AI runtime environments.
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Telecommunications — Network probes designed for packet-level inspection indicate opportunities for carriers to embed threat-intelligence-enriched security services at the network edge.
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