Recently, Forrester, a globally renowned independent research and advisory firm, released the report “Navigate The AI Agent Ecosystem In China, Forrester Research, October 2025[1].” NSFOCUS was successfully included in this report. In the report, Forrester identified four key technological trends:
- DeepSeek’s breakthroughs are accelerating AI agent evolution.
- Agentic AI capabilities are expanding to cover multiagent systems.
- RAG capabilities are closing AI agent knowledge gaps.
- Open-source ecosystems are democratizing AI agent development.
With the rapid advancement of Artificial Intelligence, AI Agent technology is deepening its application within the cybersecurity industry. It continues to integrate into scenarios such as automated large-scale real-time threat detection and response, deep analysis and correlation tracing of complex attack chains, adaptive learning and dynamic policy optimization, and the construction of active immunity systems. This demonstrates powerful scenario generalization and growth potential.
NSFOCUS has constructed a security solution framework driven by top-level AI security governance and grounded in underlying Large Language Model (LLM) security and AI-driven security operations. Simultaneously, the company continues to conduct in-depth research and product incubation regarding AI Agents and Agentic AI. NSFOCUS is consistently focusing on technical scenarios involving context awareness, task automation, and autonomous decision-making and response, having successfully implemented and promoted cases across the electric power, telecommunications/internet, and financial sectors.
Innovation in Security Operations
In terms of security operations, NSFOCUS is actively promoting and realizing the construction of an integrated AI Agent development and orchestration platform. This effort aims to accelerate the “agentization” of capabilities while achieving integration across various models.
- AI Agent Noise Reduction: By liberating cybersecurity analysts from the flood of repetitive, low-level alerts, AI agents can shorten the Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) from hundreds of days to mere minutes. This achieves a transition from “passive defense” to “active hunting” and effectively counters automated attack tools.
- Threat Reasoning: Combined with threat intelligence and the reasoning capabilities of LLMs, AI agents can infer an attacker’s Tactics, Techniques, and Procedures (TTPs), predict their next moves, and assess the actual impact of an attack on critical business assets.
NSFOCUS will continue to solidify the technical foundations of AI security and refine localized AI agent solutions for diverse industries, providing defense for the secure development of the digital economy.
References
[1] Navigate The AI Agent Ecosystem In China, Forrester Research, October 2025
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