As software supply-chain attacks, identity theft and AI-driven threats expose vulnerabilities across interconnected systems, South Korea is being pushed towards a broader approach to cybersecurity that prioritises data, access and digital trust.
South Korea recorded 1,236 cybersecurity incidents in the first half of 2026, a 19.5% increase from the same period a year earlier, according to the Ministry of Science and ICT (MSIT). The reported incidents included distributed denial-of-service attacks, ransomware, software supply-chain compromises and the theft of API credentials and user accounts. The figures reflect a threat landscape in which attackers are increasingly exploiting the connections between digital systems rather than targeting individual devices alone.
As South Korea expands its use of artificial intelligence (AI), cloud infrastructure and connected services, the boundaries separating consumers, enterprises, applications and digital platforms are becoming less distinct. A compromised account, vulnerable software component or trusted third-party application can expose multiple systems to risk. This is putting pressure on conventional cybersecurity strategies that focus primarily on protecting networks and endpoints.
While conversing with KoreaTechToday, Gokul Landge, Chief Business Analyst at Xproguard, said securing digital identity and trust across the AI-driven ecosystem would remain one of the most underestimated cybersecurity challenges over the next three to five years.
The Limits of Traditional Network Security
For years, cybersecurity strategies have concentrated on protecting organisational networks, servers and endpoint devices. Firewalls, antivirus software and network monitoring remain essential, but the growing use of cloud services, remote access tools, APIs and third-party applications has made the traditional network perimeter increasingly difficult to define.
An organisation may secure its internal infrastructure while relying on external software vendors, cloud providers and connected applications that introduce vulnerabilities beyond its direct control. Similarly, employees and customers routinely access services across multiple devices and networks, creating more opportunities for compromised credentials or applications to be exploited.
South Korea’s policy direction reflects this changing reality. In October 2025, the government announced comprehensive information security measures that included a shift towards data-centric security from 2026, replacing the country’s existing emphasis on comprehensive network separation. The measures also called for stronger vulnerability assessments, greater corporate accountability and expanded security requirements for public-sector technology procurement.
The government’s Zero Trust Guideline 2.0 also reflects the principle that access should be continuously verified rather than automatically trusted based on a user’s location within a network. Together, these developments point towards a security model in which protection follows data, identities and access across different environments.
Software Supply Chains Create Risks Beyond Individual Organisations
One of the clearest examples of this interconnected risk is the software supply chain. Modern applications depend on external libraries, open-source components, development tools and third-party services. A vulnerability in one component can potentially affect numerous organisations that use the same software.
Recognising this exposure, MSIT and the National Intelligence Service announced a Software Supply Chain Security Roadmap in June 2026. The initiative aims to strengthen security throughout software development and distribution, improve vulnerability detection and establish coordinated responses to supply-chain threats.
A central element is the wider use of Software Bills of Materials (SBOMs), which document the components and dependencies within a software product. South Korea plans to expand SBOM-based security requirements for public-sector IT systems and products from 2027.
The approach is significant because it shifts responsibility beyond the final software product towards the entire chain of suppliers and developers. Organisations need visibility into the technologies they depend on, as well as processes to identify and respond to vulnerabilities before they spread.
Identity Is Becoming a New Security Perimeter
As digital services become more interconnected, identity and access management are emerging as critical layers of cybersecurity. Attackers do not always need to breach a network directly if they can obtain legitimate credentials, impersonate an authorised user or exploit an application that already has access to sensitive information.
The problem is becoming more complex with generative AI. Deepfake images, synthetic voices and impersonation techniques can make fraudulent communications appear authentic, increasing the risk of social engineering and identity-based attacks.
South Korea’s efforts to strengthen mobile identity verification illustrate the growing importance of this issue. The government introduced facial recognition-based verification for mobile phone activation in phases from July 2026, seeking to address identity theft and fraudulent phone registrations amid persistent voice-phishing concerns.
Landge said the growing integration of AI into everyday communication and business operations would make it increasingly difficult to distinguish genuine people, content and digital interactions from malicious ones.
“A single compromised identity or trusted application could become an entry point for much broader attacks,” he said.
This highlights why authentication alone cannot address every emerging risk. Businesses also need to assess application permissions, monitor unusual access patterns and establish ways to verify the authenticity of digital interactions.
AI Is Expanding Both the Threat and the Defence
AI is adding another layer to the challenge. Attackers can use it to automate parts of their operations, generate convincing phishing messages and create synthetic content for impersonation. At the same time, AI systems themselves introduce security risks through their access to organisational data, applications and connected services.
South Korea is responding by developing its own AI-based cybersecurity capabilities. In July 2026, MSIT outlined plans to develop a sovereign AI model specialising in cybersecurity, while the government’s broader measures include AI-assisted digital forensics and stronger vulnerability detection.
However, deploying AI for defence will not be sufficient unless organisations also secure the systems and information these technologies can access. The security of AI applications, their data sources and their connections to external services will become increasingly important.
Landge said the industry needed to move beyond protecting individual devices and systems towards securing the wider digital trust ecosystem. At Xprobyte, the broader ecosystem includes Xproguard for consumer protection, Xproshield for enterprise security and XproAI for AI-driven content verification.
Building Security Around the Connected Ecosystem
South Korea’s evolving cybersecurity priorities reflect a broader shift in how digital risk must be managed. Network protection, endpoint security and threat detection remain foundational, but they need to operate alongside software supply-chain monitoring, identity management, application security and continuous access verification.
This requires closer coordination between government agencies, enterprises, technology providers and software vendors. It also means treating security as an ongoing responsibility throughout the lifecycle of digital products and services, rather than a safeguard added after deployment.
For a highly connected economy such as South Korea’s, the consequences of a breach can extend well beyond the system initially compromised. As digital services become more integrated and AI makes impersonation increasingly convincing, maintaining confidence in identities, applications and information will be just as important as preventing unauthorised access.
