Kaspersky AI Protect Launches in APAC to Counter 92,000 AI-Powered Cyber Threats

Kaspersky AI Protect Addresses Critical Security Gap in Asia Pacific

Kaspersky has officially launched Kaspersky AI Protect (KAIP) across the Asia Pacific region, introducing a purpose-built solution designed to secure enterprise AI infrastructure against emerging threats. The launch addresses poisoned Large Language Model (LLM) files, malicious AI agents, and prompt injection attacks, alongside conventional cyberattacks that continue to evolve with AI adoption in APAC enterprises1

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The timing reflects mounting urgency. Asia Pacific has emerged as a global cyberattack hotspot, accounting for over 60 percent of recorded attacks worldwide. Manufacturing and IT services face the heaviest targeting, while small and medium enterprises across industries struggle with inadequate defense capabilities. Kaspersky data reveals that over 92,000 malicious attacks disguised as AI services were recorded globally in the first half of 2026 alone, underscoring the scale of AI-powered cyber threats1

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Why AI Adoption Creates New Vulnerability Surfaces

Adrian Hia, Managing Director for Asia Pacific at Kaspersky, stated that the region sits at a critical inflection point. "Enterprises are accelerating AI adoption and prioritizing speed to business value, yet many underestimate the real-world threats that come with it, including AI supply chain risks, model poisoning, malicious agents, and prompt injection attacks," Hia explained1

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A dangerous misconception persists among organizations: keeping large language models in-house ensures safety. Hia challenged this assumption, noting how malicious code can infiltrate through model weights, AI plugins, and skill scripts sourced externally. As enterprises adopt increasingly diverse AI architectures—from on-premises LLM frameworks to RAG knowledge bases and AI agent orchestration platforms—conventional endpoint and network-perimeter defenses lack the dedicated detection capabilities needed for LLM weight files and AI-agent skill files, leaving critical entry points vulnerable2

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How Kaspersky AI Protect Secures the AI Lifecycle

Kaspersky AI Protect directly addresses these gaps with new features enabling it to check malicious LLM files and AI agents for malicious functionality, while retaining mature protection against traditional cyber threats. The solution provides comprehensive protection for web portals and applications, proxy servers, network-attached storage, and mail gateways. It integrates easily through HTTP and ICAP as a standalone service, scalable cluster, or Docker container2

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Simon Tung, General Manager for ASEAN and Asia Emerging Countries at Kaspersky, emphasized that security should enable rather than obstruct progress. "Security should not act as a barrier to AI advancement, but rather as an enabler that unlocks AI's scalable value. From model import to agent execution, we are committed to embedding security deep into the full AI lifecycle, as well as helping enterprises across Asia Pacific integrate AI security into existing security operations workflows to balance innovation and risk control," Tung stated2

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Deployment Flexibility and Integration Capabilities

Kaspersky AI Protect is available for Linux environments and can be deployed as an individual container to Docker Swarm, Kubernetes, AWS EKS, and similar cloud environments. As part of the Kaspersky Technology Alliance ecosystem, it integrates into third-party hardware and software security offerings, with comprehensive technical cooperation support available for partners2

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Tung underscored the visibility imperative: "At the end of the day, you cannot secure what you cannot see. KAIP gives enterprises visibility into the parts of their AI infrastructure that have been left unprotected for too long. We built this because the threats are real, they are growing, and organizations across Asia Pacific cannot afford to find out the hard way"2

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What This Means for APAC Enterprises

The launch signals a shift in how organizations must approach AI security. As AI adoption accelerates and threat actors adapt their tactics, enterprises need specialized tools that understand AI-specific attack vectors. The 92,000 attacks disguised as AI services represent just the beginning of a threat landscape that will likely expand as AI becomes more embedded in business operations. Organizations deploying AI must now consider security from the earliest stages—from model import through agent execution—rather than treating it as an afterthought. Watch for increased regulatory scrutiny around AI security practices and potential insurance requirements for AI-specific protections as these threats mature.