Recently, a globally renowned luxury car manufacturer has reached a deep cooperation with Qihoo 360 Group, jointly promoting the practical implementation of AISOC in security operations and threat assessment scenarios, assisting the car manufacturer in achieving an automated and intelligent leap in security operations. Through practical testing, under the support of AISOC, the car manufacturer’s intelligent operation model has significantly improved operational efficiency indicators such as MTTD (Mean Time to Detect) and assessment time compared to traditional operation models, with key alert identification rates and accuracy rates both achieving over a twofold increase.
Currently, AI technologies represented by large models are profoundly influencing and reshaping various fields, including the automotive industry. This car manufacturer, headquartered in Europe and known globally as a luxury automotive brand, has been actively laying out the application scenarios of large models in cybersecurity operations within the automotive industry in recent years. Through the AISOC security operation intelligence provided by Qihoo 360, it stimulates the practical value of AI large models under new offensive and defensive situations.The two parties conducted a key indicator comparison between traditional operation teams and AISOC intelligent operations in a real red team attack testing environment to verify the potential of AISOC in resource optimization and modern operations. Ultimately, AISOC achieved outstanding performance beyond expectations, with MTTD and assessment time both achieving second-level responses, compared to the tens of minutes or even hours of traditional SOC, achieving a leap in speed; the key alert identification rate reached 100%, achieving a twofold increase; and the key alert accuracy rate reached 93%, achieving nearly a threefold increase.In terms of attack chain identification capability, AISOC accomplished tasks that traditional SOC could not complete, accurately reconstructing the attack path with 100% accuracy; in terms of auditing capability, each alert generates traceable processing records, which traditional SOC can only partially achieve and lacks corresponding relationships. This attack and defense test fully demonstrates that Qihoo 360’s AISOC comprehensively surpasses traditional SOC in efficiency, accuracy, and auditability, especially addressing the shortcomings of traditional SOC in handling high-concurrency attacks, such as response delays, classification errors, and attack chain blind spots.Through this cooperation, Qihoo 360’s AISOC fully demonstrates four major advantages:
The first is a breakthrough in efficiency.
Itssingle alert processing time is ≤9 seconds, achieving near real-time threat detection, while automated classification can accurately classify 93.1% of alerts based on severity, reducing the need for manual intervention;
The second is precise detection.
AISOC achieved 100% key alert identification, covering all 9 types of attack behaviors, with no omissions, while through attack chain reconstruction, it completely restored the attack path from initial access to lateral movement, supporting targeted defense;
The third is auditability.
Each alert generates complete processing records and evaluation logic, ensuring transparency and compliance;
Finally, resource optimization.
Through Qihoo 360’s security large model capabilities, it can quickly analyze massive data, significantly reducing the workload of security operation teams.
According to the latest IDC cybersecurity survey in China for 2025, 61% of Chinese customers will purchase security large model products and services in the next 1-3 years. IDC predicts that by 2028, the market size of security intelligent agent-related applications in China will reach $1.6 billion, with a compound annual growth rate exceeding 230%. AI will undoubtedly lead a new generation of technological revolution, and the shift of security operations towards the intelligent era will be an inevitable trend.
In the future, this high-end car manufacturer will further deepen cooperation with Qihoo 360, introducing AISOC as an AI-assisted tool in traditional SOC, prioritizing the processing of key alerts, standardizing work order processes, and strengthening auditing mechanisms. On this basis, the car manufacturer will gradually migrate traditional SOC to the AISOC architecture, replacing inefficient manual processes, and combining large model capabilities to achieve threat prediction, automatic generation of defense strategies, and more advanced functions, becoming a leader in intelligent operations in the automotive industry.