IDC's 2026 TechScape report identifies Agentic Threat Hunting as a transformational technology in the evolution of AI-powered cybersecurity.

Yulevo (also known as Qingteng Cloud Security) has been named among the recommended vendors for Agentic Threat Hunting in IDC's TechScape: China's AI-Powered Cybersecurity Software Technology Roadmap, 2026, published in October 2026.

The report examines 24 emerging and significant AI-powered cybersecurity software technologies, assessing their development, adoption, and potential market impact. IDC categorizes Agentic Threat Hunting as a transformational technology, highlighting its potential to reshape how organizations proactively identify and investigate cyber threats.

Moving Beyond Alert-Driven Security

Traditional security operations often rely on alerts to initiate investigations. However, sophisticated attackers can operate without triggering obvious alerts, using legitimate credentials, built-in system tools, and low-frequency activity to blend into normal operations.

Threat hunting helps address these gaps, but conventional approaches depend heavily on experienced analysts to develop hypotheses, write queries, investigate findings, and refine their searches. This makes continuous threat hunting difficult to scale across large and complex environments.

According to IDC's analysis, Agentic Threat Hunting introduces a different approach. By combining large language models with AI agents, security teams can move toward more autonomous threat discovery, where agents generate hunting hypotheses, plan investigations, query multiple security data sources, and analyze evidence.

Rather than following a fixed investigation path, agents can use their findings to refine hypotheses and pursue new leads, supporting a more continuous and iterative approach to threat hunting.

Yulevo's Approach to Agentic Security

Yulevo has been advancing AI-powered security operations through WuX AI, its AI security system designed to support proactive threat discovery, security investigation, and coordinated response workflows.

WuX AI combines security telemetry, threat intelligence, domain-specific security knowledge, and AI agents to help security teams investigate suspicious behavior and uncover threats that may be missed by conventional alert-driven detection.

Its capabilities include monitoring behavioral anomalies across critical assets, supporting natural-language-driven threat hunting, and coordinating specialized agents for tasks such as alert analysis, incident investigation, and security reporting.

By bringing together AI reasoning, security context, and tool execution, Yulevo aims to reduce repetitive investigative work and help security professionals focus on complex threats and higher-value security decisions.

AI is changing how cybersecurity teams investigate threats, make decisions, and coordinate defensive actions. As agentic capabilities evolve, their value will increasingly depend on the quality of security data, domain expertise, reliable reasoning, and integration with existing security tools.

Yulevo will continue developing practical AI-powered security capabilities that help enterprises move beyond reactive alert management toward more proactive, efficient, and scalable security operations.