PAGO Networks Unveils AI-Based Security Operations Strategy, Officially Launches 3 Core Brands
TECHWORLD ·
✦ AI Summary
PAGO Networks unveiled a new Security Operations strategy to respond to changes in the security environment in the AI era.
As a means of implementing the strategy, it also officially announced 3 core brands: "PAGO DeepACT DEFENSE," "PAGO DeepACT ATTACK," and "PAGO DeepACT Detection-Engineering."
PAGO said that with the spread of AI, Security Operations benchmarks are shifting from the volume of threat detections to risk judgment, response speed, and accuracy.
PAGO Networks unveiled a new Security Operations strategy to respond to changes in the security environment in the AI era. PAGO said it introduced the strategy to reflect the changing conditions of security operations as AI spreads. It explained that both attack and defense in cyber security are rapidly changing with the spread of AI, with attackers using AI to increase the speed and scale of attacks, while defenders are expanding AI use across threat analysis, detection, and response.
PAGO Networks also announced the official launch of 3 core brands as the means of implementing the strategy. The 3 core brands are "PAGO DeepACT DEFENSE," "PAGO DeepACT ATTACK," and "PAGO DeepACT Detection-Engineering."
PAGO announced these changes at the "PAGO Security Summit 2026" held on the 1st. At the summit, PAGO presented the changes AI is bringing to Security Operations, along with its response strategy and technology direction.
PAGO said the benchmark for competitiveness in Security Operations is shifting from the volume of threat detections to risk judgment, response speed, and accuracy.
Accordingly, PAGO said large-scale data analysis and repetitive tasks should be automated by AI, while security experts should focus on assessing threat context, actual impact, and response priorities.
In line with this direction, PAGO redefined its accumulated capabilities around AI. The capabilities redefined were detection and response, threat identification, Detection-Engineering, and offensive security.
PAGO said it has formalized this into 3 core brands, with each area connected into a single AI-based Security Operations framework.
Among them, PAGO DeepACT DEFENSE is an integrated MDR service brand based on EDR, NDR, XDR, ITDR, and AIDR. PAGO DeepACT DEFENSE provides 24x7 monitoring, continuously detects and analyzes threats in customer environments, and delivers advanced Blue Team services.
PAGO DeepACT DEFENSE focuses on improving efficiency in repetitive analysis work through AI and automation. Through this, security professionals can focus on assessing threat context and actual impact, and it helps them avoid treating every Alert the same way.
At the same time, PAGO DeepACT DEFENSE supports the identification of threats that require actual response and prioritizes critical risks. The structure is designed to reduce the burden of repetitive analysis while helping security staff concentrate on distinguishing issues that require response and risks with high priority.
PAGO DeepACT ATTACK is PAGO's official offensive security service brand. It provides advanced Red-Teaming services and integrates ASM, AEV, AI Red-Teaming, and Dark-Web Intelligence into a single AI-based service. It also supports identifying and validating risks before attacks occur through automated analysis of customer environments from the attacker's perspective and testing actual attack feasibility.
Attack paths and threat intelligence identified through DeepACT ATTACK are reused in threat detection and Detection-Engineering. The results of attacker-perspective validation are reflected in the actual detection and response framework, linking offensive security and defensive security into a single operational cycle.
PAGO DeepACT Detection-Engineering is a core module of PAGO Security Operations and has the character of a platform that combines global threat intelligence sources with frontier AI. The module is connected with Google Threat Intelligence (GTI), SentinelLabs, and CrowdStrike Falcon Intelligence, and PAGO said it automates the core processes of threat detection and Detection-Engineering.
As a result, the role of AI has expanded beyond simple Alert analysis, and PAGO said it is now extending toward proactively identifying threats and continuously improving detection capabilities. It added that this will reduce repetitive work for threat detection and Detection-Engineering teams and create conditions that allow them to focus on advanced threat analysis and designing new detection strategies.
Kwon Young-mok, CEO of PAGO Networks, said that as AI advances rapidly expands the speed and scope of Security Operations, a fundamental change in the existing SOC operating model is required. He added that AI is not intended to replace people, but to handle repetitive analysis and detection tasks, while security professionals should focus on actual risk judgment and more important decision-making.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406336
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Source: TECHWORLD
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