AhnLab has announced the launch of its integrated brand 'AhnLab AI Plus,' which reconfigures over 30 security products and services along with more than 30 years of accumulated threat intelligence and security operations experience around AI. The company aims to transition into an 'AI-native security platform company.'
As AI emerges as a new actor in cyberattacks, attackers are leveraging AI to quickly identify vulnerabilities and automate their methods. With the expansion of cloud, SaaS, and AI usage by businesses, the attack surface and security events are increasing, necessitating a new system to bridge the gap between AI attacks and human-centered security operations.
During a press conference on the 'AhnLab AI Vision Declaration,' the company unveiled the integrated brand 'AhnLab AI Plus,' along with its product and platform strategy, agentic AI technology, and long-term investment and growth plans. AhnLab AI Plus represents a platform and architecture concept that connects technology, products, and services.
AhnLab plans to shift from 'AI-powered security,' which adds AI features to existing products, to 'AI-native security,' where products, services, and security operations are designed from the ground up with AI at the core. The company aims to connect dispersed data across product areas into a single security context and implement an architecture where multiple AI agents collaborate.
The business structure will also pivot towards a SaaS model. Products and services will be restructured into 'AhnLab AI Plus Endpoint' and 'AhnLab AI Plus SecOps.' The endpoint will integrate EPP and EDR on a SaaS basis, expanding protection from PCs to servers, virtual environments, containers, and mobile devices. SecOps will connect various security signals centered on XDR, MDR, and AI SOC to analyze the context and priority of attacks, supporting prevention, detection, investigation, and response as a unified flow.
AhnLab plans to connect data from endpoints, networks, cloud, operational technology (OT), threat intelligence, and security monitoring, allowing AI to reconstruct multiple signals into a single security incident and suggest response priorities. Multiple AI agents will perform threat analysis, infer attack flows, assess risk levels, and propose investigation and response measures.
Currently, AhnLab is implementing agentic AI security based on over 2.5 petabytes (PB) of security data, 13 specialized AI models, and 60 security tools. The company processes over 190 million security objects and more than 50 billion tokens each month, reducing the processing time for some AI SOC tasks from five minutes to about two minutes, a reduction of approximately 60%.
The processes of AI judgment, action, and data access will be recorded and reviewed, with key actions executed only after user approval. AhnLab defines this as the principle of 'controlled autonomy,' managing AI autonomy through authority, policy, audit, and approval.
Over the next three years, AhnLab plans to invest a total of 100 billion won in AI. The focus will be on AI infrastructure, technology, specialized talent, and research and development capabilities, linking these to an 'AI-native × platform × SaaS × global' growth engine.
The technology, data, and security operations experience accumulated in South Korea will be expanded into international markets through API and cloud-based services and a global partner ecosystem. The company will also pursue strategic M&A and collaborative research, business cooperation, and investment with AI technology firms and startups. AhnLab aims to achieve 1 trillion won in revenue by 2035, with over 30% coming from global sales.
AhnLab has also established an 'AI Security Experience Zone' consisting of 'AI Prevention,' 'AI SOC,' and 'AI Detection and Response' to showcase the operational processes of AI-based security technology.
CEO Kang Seok-kyun stated, 'At this point, where AI is changing the game rules of cybersecurity and the competitive landscape of the security industry, 'AhnLab AI Plus' marks AhnLab's next chapter. We will grow into the first AI-native security platform company that comes to mind when customers face security challenges in the AI era.'
* This article has been translated by AI.
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