Krafton uses Microsoft AI to cut security alert recognition time by 95 percent
The South Korean gaming giant automated its security reporting and investigations, allowing experts to focus on high-level threat response.
The short version
- Krafton reduced the time to recognize security alerts by about 95 percent, bringing it down to within 1 minute.
- Security investigations that previously took tens of minutes can now be completed in about 3 minutes.
- The company automated about 95 percent of its security report-writing tasks.
- The solution combines Microsoft Security Copilot and Microsoft Defender XDR with Krafton's internal systems.
Why it matters
This demonstrates how AI can move security teams from manual data entry to active threat hunting. By automating the 'grunt work' of logging and reporting, companies can respond to cyberattacks much faster.
Automating the security frontline
Krafton, a prominent South Korean game company, has implemented a new workflow to handle its cybersecurity needs. The company integrated Microsoft Security Copilot and Microsoft Defender XDR with its own internal data and systems. This setup allows the firm to automate several layers of security operations, from initial alerts to final reporting.
By combining these tools, Krafton aims to streamline how it identifies and reacts to potential digital threats. The goal is to move away from manual processes that slow down a security team's ability to protect the company. This transition is part of a broader trend where businesses use AI to manage the massive volume of data generated by modern networks.
As reported by 디지털투데이, this integration specifically targets the repetitive tasks that often bog down security professionals. Instead of manually sorting through every notification, the system filters and prioritizes information. This allows the human experts on the team to dedicate their attention to high-level decision-making and responding to actual threats.
Drastic gains in speed and accuracy
The results of Krafton's implementation show a significant increase in operational speed. The company reported that it cut the time required to recognize security alerts by about 95 percent. This means that what might have taken a significant amount of time now happens in less than 1 minute.
The efficiency gains extend into the investigation phase of cybersecurity. Tasks that previously required tens of minutes of manual work can now be handled in roughly 3 minutes. This rapid turnaround is critical for stopping malicious activity before it can spread through a corporate network.
Furthermore, the company has automated about 95 percent of its report-writing work. Because writing reports is a frequent requirement for security teams, this automation removes a major administrative burden. It ensures that the data collected during an investigation is documented quickly and consistently without manual typing.
The role of Microsoft's AI tools
Microsoft's approach to these business cases is centered on what it calls Frontier Transformation. This concept focuses on prioritizing actual business outcomes rather than just adopting technology for its own sake. Microsoft emphasizes that human ambition and trust remain central to how these AI tools are deployed in a professional setting.
To support this, Microsoft offers a suite of solutions including Copilot, Microsoft IQ, and Agent 365. Copilot serves as a primary space where humans and AI interact to complete tasks. Microsoft IQ is designed to expand an organization's internal intelligence while keeping its unique data protected.
Agent 365 provides the necessary governance and security for these AI agents across the technology stack. By providing observability and trust, it helps companies manage how AI interacts with their sensitive information. Krafton's use of Security Copilot is a specific application of these broader AI capabilities in a corporate environment.
Broader industry trends in AI
Krafton is not the only company using Microsoft's AI to transform its operations. For example, the automaker Volkswagen expanded Microsoft Copilot to more than 330,000 employees. These workers use the tool with Work IQ to help them make decisions based on the specific context of their organization's knowledge.
Other companies are seeing similar results in different sectors. Fujitsu automated about 75 percent of initial responses at a service desk that handles 300,000 inquiries a year. Meanwhile, the manufacturing company KOHLER used GitHub Copilot to improve code releases by 25 percent and reduce errors by 75 percent.
These examples suggest a widespread shift toward using AI to handle high-volume, repetitive tasks. Whether it is answering customer inquiries, writing code, or managing security alerts, the goal is to free up human workers. By automating the basics, these companies allow their employees to focus on more complex and creative work.
What comes next for AI security
The success of Krafton's deployment highlights a growing trend in enterprise security. As cyber threats become more sophisticated, companies need tools that can keep pace with the speed of automated attacks. Using AI to handle the initial triage of alerts is becoming a standard way to manage large-scale digital infrastructure.
Moving forward, the focus will likely shift toward how these AI systems can make more autonomous decisions. While Krafton currently uses AI to speed up human work, the next step involves deeper integration. This could include AI systems that can suggest specific remediation steps based on the company's unique security policies.
For the reader, this means that the role of the security analyst is changing. The job is moving away from manual data entry and toward oversight and strategy. As companies like Krafton prove, the most effective security posture combines human intelligence with the processing power of AI.
What to watch
- How other gaming companies adopt similar AI security frameworks.
- Whether AI-driven security reporting leads to fewer human errors in high-pressure situations.
Try it
Look up your company's current security alert response time to see if it aligns with the 1-minute benchmark Krafton achieved.
Sources and links
- Reporting디지털투데이: the article we sourced
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Listen to the daily showsFirst reported by 디지털투데이 · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.
