{"id":3990,"date":"2026-02-25T10:20:44","date_gmt":"2026-02-25T03:20:44","guid":{"rendered":"https:\/\/www.yipintsoinext.com\/?page_id=3990"},"modified":"2026-06-17T14:59:00","modified_gmt":"2026-06-17T07:59:00","slug":"next-cybersecurity","status":"publish","type":"page","link":"https:\/\/www.yipintsoinext.com\/en\/next-cybersecurity\/","title":{"rendered":"Next Cybersecurity"},"content":{"rendered":"
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Next Cybersecurity<\/h1>\t\t\t\t<\/div>\n\t\t\t\t
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Explore how integrating NIST CSF 2.0, ISO 27001, AI governance (ISO 42001), and Post-Quantum Cryptography (PQC) creates a Unified Compliance Architecture for ultimate cyber resilience.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Next Cybersecurity<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Our cybersecurity strategy is built upon a Unified Compliance Architecture that integrates the world's most rigorous international standards. At the core of this approach is NIST CSF 2.0 (National Institute of Standards and Technology Cybersecurity Framework 2.0), considered the global benchmark for cyber risk management. Our methodology harmonizes multiple frameworks to ensure comprehensive coverage in governance, technology, and privacy.<\/p>

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We don't stop at basic standards, but incorporate the operational rigor of ISO\/IEC 27001 (Information Security Management System) to establish a robust ISMS that ensures continuous improvement and effective governance. Furthermore, to support the rapid advancements in artificial intelligence, we have integrated ISO\/IEC 42001 (Artificial Intelligence Management System) to govern AI-related risks and ethics.<\/p>

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Crucially, we are preparing for the next frontier of threats with PQC (Post-Quantum Cryptography) to defend against the potential of quantum computers to break traditional encryption. Simultaneously, we enforce technical precision through CIS Critical Security Controls, focusing on actionable defenses against the most pervasive threats.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The Pillars of Sovereignty and Resilience<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Digital & Data Sovereignty: We prioritize the ability to maintain control over our digital destiny, which includes Data Residency (guaranteeing that sensitive data is kept within a defined jurisdiction) and Technological Sovereignty (reducing over-reliance on single foreign vendors to mitigate geopolitical risks).

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  • Digital & Data Sovereignty<\/strong>\u00a0We prioritize the ability to control our own digital destiny, which includes Data Residency (ensuring sensitive data remains within a defined jurisdiction) and Technological Sovereignty (reducing reliance on a single foreign provider to mitigate geopolitical risks).<\/li>
  • Adaptive Cyber Resilience: Moving beyond the concept of \u201cprevention,\u201d we focus on \u201csurvival.\u201d Our strategy is based on the assumption that breaches may occur. Therefore, we build systems that can adapt, withstand shocks, and recover quickly without complete service disruption.<\/li><\/ul>

    \u00a0<\/p>

    Additionally, we have integrated domain-specific standards to ensure comprehensive coverage across all layers of the modern attack surface, such as<\/p>

    • Cloud Security: We align our approach with the best practices of CSA CCM (Cloud Security Alliance Cloud Controls Matrix) to protect hybrid and multi-cloud environments.<\/li>
    • Operational Technology (OT): We integrate IEC 62443 (International Electrotechnical Commission 62443 \u2013 Industrial Communication Networks \u2013 Network and System Security \u2013 Industrial network and system security standard) to protect industrial networks and CPS (Cyber-Physical Systems).<\/li>
    • Data Privacy & Compliance: We strictly adhere to GDPR (General Data Protection Regulation) and related data protection laws such as PDPA (Personal Data Protection Act) to protect sensitive data.<\/li><\/ul>

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      Transaction Security: We operate in compliance with PCI-DSS (Payment Card Industry Data Security Standard) to ensure the secure handling of financial information.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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      \n\t\t\t\t\t\tCYBERSECURITY SIX CORE FUNCTIONS\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t
      \n\t\t\t\t\t\tWe embrace NIST CSF 2.0 as our primary compass for driving cybersecurity excellence. Our vision extends beyond merely building a \u201cdefensive wall\u201d; we aim to create a Cyber Resilient Ecosystem. This approach enables our organization to elevate compliance and surpass international standards, while strengthening our ability to Govern, Identify, Protect, Detect, Respond, and Recover. This ensures business operations return to peak performance with steadfast stability. Below are the details of the six core functions:\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t
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      Supervision<\/strong>GOVERN<\/b><\/b><\/p>

      Building a strong risk management foundation encompassing emerging technologies and supply chain resilience.<\/p>

      • AI Governance and Security (AI-TRiSM)<\/strong>Implementing a comprehensive framework for AI Trust, Risk, and Security Management, such as ISO\/IEC 42001, is crucial for controlling the proliferation of Generative AI and Agentic AI within organizations. To prevent unauthorized data leakage through Large Language Models (LLMs), organizations must establish clear usage policies, conduct AI ethical reviews, and explicitly define the operational scope of AI Agents. Ensuring that automated systems operate within approved parameters will mitigate the risks of \u201challucinations\u201d or biased decision-making, which could damage organizational reputation or lead to serious regulatory non-compliance.<\/li>
      • Cyber Supply Chain Risk Management (C-SCRM):<\/b> Managing cybersecurity risks across the entire digital supply chain through automated Software Bill of Materials (SBOM) generation. In an era of unprecedented software complexity, visibility into third-party components and open-source libraries is crucial for identifying hidden vulnerabilities. Our strategy involves continuous scanning of vendor software and assessing partner security posture, ensuring every component in the production environment meets stringent security standards. This proactive approach effectively thwarts Supply Chain Attacks, protecting organizations from upstream threats that can bypass traditional defenses.<\/li>
      • Agentic AI Ethics and Policy Framework<\/b> Developing a specific governance layer for Agentic AI, which possesses the ability to automate tasks and make independent decisions. As these agents shift from being mere assistants to proactive operators, organizations must define acceptable levels of autonomy and maintain \u201chuman-in-the-loop\u201d mechanisms for oversight. This framework includes stringent management of AI Agent identities, comprehensive activity logging for forensic audits, and regular impact assessments. Ensuring Agentic AI aligns with organizational values and security protocols will prevent out-of-scope operations, making sure AI-driven efficiency does not come at the cost of unforeseen operational risks.<\/li>
      • Software Development Governance (Secure SDLC):<\/b> Embedding security protocols into the software development lifecycle from the initial design phase, often referred to as a \u201cShift Left\u201d approach, using ISO\/IEC 27001 as a benchmark. We establish standard operating procedures that prioritize secure coding and mandate security reviews before any code deployment. This governance ensures that security is not an afterthought but a core attribute of every application developed internally. Cultivating a culture of security awareness among developers and implementing stringent testing checkpoints will reduce the long-term costs of vulnerability remediation and enhance the overall resilience of the software.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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        Identification<\/strong>IDENTIFY\u00a0<\/b><\/b><\/p>

        Creating comprehensive visibility into digital assets and next-generation risk vectors<\/p>

        • Post-Quantum Cryptography Discovery (PQC Discovery):<\/b> Preparing for the quantum era by using specialized scanning tools to identify legacy encryption algorithms such as RSA and ECC, which are vulnerable to future quantum computer attacks. This discovery process allows organizations to inventory sensitive data and systems that require upgrades to Post-Quantum Cryptography (PQC). By mapping the current cryptographic landscape, we can develop a phased transition plan that prioritizes the most critical assets. This proactive identification is crucial for defending against \u201cHarvest Now, Decrypt Later\u201d strategies, a tactic employed by advanced adversaries to store data now for decryption in the future when sufficient technology becomes available.<\/li>
        • Cyber Asset Attack Surface Management (CAASM)<\/b>Achieving complete visibility of an organization's attack surface through a centralized, API-driven platform that links data from endpoints, cloud environments, and network infrastructure. This approach enables rapid detection of Shadow IT and unmanaged assets, which often become the entry points for attackers. Full visibility is the foundation of effective defense; if an asset is not identified, it cannot be protected. CAASM provides real-time insights into the security posture of all digital assets, enabling security teams to close control gaps and ensure all devices comply with organizational security policies.<\/li>
        • Data Security Posture Management (DSPM)<\/b> Building deep data security visibility in hybrid and multi-cloud environments to identify the location and sensitivity level of data. This process includes analyzing access permissions and ensuring sensitive data is stored according to international standards like GDPR or local PDPA requirements. DSPM helps organizations identify risks arising from misconfigured cloud settings or excessive data exposure. By continuously tracking how data is managed and who can access it, we can implement targeted controls that reduce the likelihood of data breaches and ensure regulatory compliance.<\/li>
        • AI Asset and Data Lineage Mapping:<\/b> Formally cataloging AI assets and mapping data lineage to understand how data is ingested, processed, and utilized. For Agentic AI, which may automatically connect across platforms, identifying these data pathways is crucial for preventing unauthorized leakage of proprietary data into public AI models. This mapping ensures that the data used for AI training and operations is accurate, from trusted sources, and handled in accordance with privacy regulations. Understanding the data lifecycle within AI systems is fundamental to maintaining trust and ensuring the reliability of AI-generated business outcomes.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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          Protection<\/strong>PROTECT\u00a0<\/strong><\/p>

          Implementing proactive measures to protect access and critical infrastructure<\/p>

          • Quantum-Safe Encryption Implementation:<\/strong> Implementing NIST-standardized Post-Quantum Cryptography (PQC) algorithms to protect data both in transit and at rest, this future-proof shield ensures that the most sensitive communications and intellectual property remain secure even as quantum computing technology reaches its full potential. Adopting PQC is not merely about compliance; it is a strategic commitment to long-term data sovereignty. By embracing these advanced cryptographic standards today, we are building operational resilience against an evolving threat landscape and laying a secure foundation for the digital ecosystem of tomorrow.<\/li>
          • Unified Identity Fabric (Next-Gen IAM):<\/strong> Developing towards a Continuous Adaptive Trust model using passwordless authentication compliant with FIDO2 standards to reduce the risk of credential theft and phishing attacks. The system continuously assesses user risk based on context such as location, time, and device security status before granting or maintaining access to resources. This unified Identity Fabric structure simplifies access management in complex Hybrid and Multi-cloud environments while providing the highest level of security. By shifting from static passwords to dynamic, context-aware authentication, we strengthen the Zero Trust architecture and ensure that only verified users can access resources.<\/li>
          • Cyber-Physical Systems (CPS) & Operational Technology (OT) Protection:<\/strong> Protecting critical industrial control systems (Operational Technology \u2013 OT) and IoT devices through micro-segmentation and the use of the IEC 62443 standard. Network segmentation helps prevent lateral movement of threats, ensuring that breaches in the organization's IT environment do not impact production processes or critical operations. This protection includes strict access control for industrial controllers and continuous monitoring at the IT-OT connection points. By applying specialized security measures to physical cyber assets, we can safeguard the physical trustworthiness of business operations and prevent catastrophic failures that could arise from cyber interference in production lines.<\/li>
          • DevSecOps Automation with Agentic Security:<\/strong> Integrating security directly into the DevOps process using Agentic AI to perform real-time automated code vulnerability assessments. These AI Agents act as continuous security guardians, operating 24\/7 to identify technical flaws and propose remediation based on CIS Controls and secure coding standards. Automating these checks reduces manual burdens on developers and security teams, ensuring software is \u201csecure by design\u201d before deployment to production environments. This integration accelerates the delivery of secure applications and guarantees that every software release maintains a consistently high level of security throughout its lifecycle.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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            Detection (<\/strong>DETECT\u00a0<\/b><\/b><\/p>

            Close monitoring and rapid analysis of anomalous activities<\/p>

            • Extended Detection and Response (XDR)<\/b> The evolution from traditional SIEM systems to high-performance XDR platforms connects telemetry data across the entire digital infrastructure, encompassing endpoints, networks, and the cloud. This holistic view enables security teams to detect sophisticated, multi-stage attacks that might otherwise go unnoticed when data is analyzed in silos. By leveraging advanced data analytics, XDR significantly reduces Mean Time to Detect (MTTD), allowing organizations to intercept and contain advanced attackers before they achieve their objectives or cause irreversible damage to critical business systems.<\/li>
            • Identity Threat Detection and Response (ITDR)<\/b> Implementing specialized detection focused on identity infrastructure, such as Active Directory, to prevent multi-factor authentication (MFA) bypass and unauthorized privilege escalation. Modern attackers often target identity systems as their primary entry point, making ITDR crucial for identifying user behavior anomalies and unauthorized changes to security group privileges. By monitoring for credential misuse and suspicious account activity, ITDR strengthens Zero Trust frameworks and ensures the \u201ckeys to the kingdom\u201d remain secure. This targeted detection capability is essential for stopping attackers in the early stages of an intrusion.<\/li>
            • AI-Powered Predictive Detection<\/b> Utilizing advanced Machine Learning models to analyze network traffic patterns and predict potential cyberattacks before they become apparent. These systems learn from vast amounts of historical data to identify subtle anomalies that human analysts might overlook. Furthermore, they encompass monitoring the behavior of Agentic AIs to detect \u201cbehavioral drift\u201d or attempts at Prompt Injection attacks. Predictive detection shifts an organization's posture from reactive to proactive, providing a strategic advantage in identifying novel threats and zero-day vulnerabilities, thus always staying one step ahead of attackers.<\/li>
            • Continuous Security Monitoring for Software Agents:<\/b> Runtime monitoring of software applications and AI agents to detect anomalous commands or unauthorized data access. Because Agentic AI can interact with various systems autonomously, runtime monitoring serves as a crucial \u201cguardrail\u201d to ensure these agents do not deviate from their intended functions or exhibit malicious behavior. This continuous surveillance includes monitoring for Insecure Output Handling and ensuring code execution remains within safe boundaries. This real-time tracking acts as a vital safeguard for the secure scaling of AI technologies within organizations.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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              Response\u00a0<\/strong> RESPOND\u00a0<\/b><\/b><\/p>

              Decisive action to control damage and eliminate cyber threats<\/p>

              • Security Orchestration, Automation, and Response<\/b> Utilizing automation for rapid threat response through digital playbooks or standard operating procedures when a high-fidelity threat is detected, SOAR platforms can instantly isolate infected devices or block malicious IP addresses without manual intervention. This automation significantly enhances response speed and reduces human error in high-pressure situations. The synergy between automated detection and response tools empowers organizations to contain security incidents within seconds, diminishing the attacker's window of opportunity and substantially minimizing business impact.<\/li>
              • AI Security Co-Pilot for Incident Response:<\/b>Integrating Generative AI and Agentic AI as a co-pilot for Security Operations Center (SOC) analysts to assist with alert triage and incident response. The AI Co-Pilot can summarize complex security incidents into easily understandable language and search global threat intelligence databases in real-time to provide actionable insights. This AI-powered assistance enables analysts to make faster, more accurate decisions and allows junior personnel to effectively handle high-level threats. By augmenting human capabilities with AI, organizations can scale their response capabilities to meet the ever-increasing volume of modern cyber threats.<\/li>
              • Autonomous Remediation Agents<\/b> Enhancing response capabilities with Agentic AI that can perform automated remediation within strictly defined scopes. These agents can correct misconfigured firewall rules or deploy security patches to vulnerable systems as soon as a risk is detected. This \u201cself-healing\u201d capability is critical for closing zero-day vulnerabilities before they can be exploited. However, these agents operate under strict control mechanisms to ensure that automated remediation does not unintentionally impact critical services, balancing rapid security enforcement with maintaining high system availability.<\/li>
              • Dynamic Playbook Adaptation<\/b> Developing security playbooks that are resilient and can adapt in real-time to evolving attacker strategies, using AI to analyze adversary techniques, differs from static playbooks. Dynamic response plans enable organizations to counter adaptive attacks by instantly adjusting their defensive posture. This process also includes automated post-incident data collection to refine future response strategies, creating a continuous feedback loop. By developing response mechanisms based on real-world incident data, we ensure our defenses remain effective against even the most sophisticated and persistent cyber adversaries.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                rehabilitation<\/strong>RECOVER\u00a0<\/b><\/b><\/p>

                System and Service Recovery to Ensure Business Continuity<\/p>

                • Cyber Recovery Vault:<\/b> Establishing an air-gapped and immutable storage environment to retain a \u201cGold Copy\u201d of critical data for recovery from ransomware incidents or catastrophic failures. This vault is physically and logically isolated from the primary network, ensuring backups remain untouched even if the production environment is completely compromised. Having an immutable recovery vault serves as the ultimate insurance policy for business continuity. It guarantees that an organization can restore core operations from a clean state without needing to negotiate with cybercriminals.<\/li>
                • Clean Room Forensics:<\/b> Preparing a secure and isolated environment to perform \u201ctest restores\u201d of backups and conduct in-depth forensic scans for potential hidden malware before reintroducing the data into the production environment. This process prevents \u201cre-infection\u201d scenarios where restoring from backups might reintroduce the original malware. By thoroughly cleaning and verifying within a clean room, the IT team can proceed with the recovery process with full confidence in data integrity. This rigorous verification step minimizes downtime and ensures the restored business environment is stable and secure.<\/li>
                • Automated Business Continuity Orchestration<\/b> Using automation in managing the entire business recovery process, from prioritizing application recovery to redirecting traffic to a backup site, strictly adheres to the Business Continuity Plan (BCP). This ensures an orderly recovery, reduces human error, and accelerates the return to normal operations. Regularly testing these automated recovery workflows allows organizations to continuously monitor and improve RTO\/RPO objectives. Automated orchestration enables organizations to achieve the highest level of operational resilience, maintaining confidence even after a severe incident.<\/li>
                • AI-Assisted Root Cause Analysis and Restoration<\/b> Utilizing artificial intelligence to perform rapid Root Cause Analysis (RCA) ensures that recovery processes address the underlying vulnerabilities and prevent recurrence. AI can compare post-recovery states against defined Security Baselines to identify any lingering anomalies or hidden backdoors. This swift analysis reduces post-incident review timelines and provides crucial insights to strengthen future defenses. By learning from failures and applying those lessons during the recovery phase, organizations emerge with increased resilience and better preparedness for future challenges.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  Why Yipintsoi Next Co., Ltd.<\/b><\/p>

                  FOR AI SOLUTIONS?<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  • Proven AI engineers with real\u2011world experience<\/li>
                  • Clear understanding of AI capabilities and limitations<\/li>
                  • Vendor-neutral technology selection<\/li>
                  • Extensive proof of concept (POC) and production deployment expertise<\/li>
                  • Business-Impact-Driven Delivery<\/li>
                  • Long-term partnership mindset<\/li><\/ul>


                    We don't just build AI\u2014we help organizations adopt AI responsibly, sustainably, and effectively<\/b>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                    Next Cyber Security \u0e2a\u0e33\u0e23\u0e27\u0e08\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1c\u0e2a\u0e32\u0e19\u0e23\u0e27\u0e21 NIST CSF 2.0, ISO 27001, \u0e01\u0e32\u0e23\u0e01\u0e33\u0e01\u0e31\u0e1a\u0e14\u0e39\u0e41\u0e25 AI (ISO 42001) \u0e41\u0e25\u0e30 Post-Quantum Cryptography (PQC) \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34\u0e15\u0e32\u0e21\u0e02\u0e49\u0e2d\u0e01\u0e33\u0e2b\u0e19\u0e14\u0e41\u0e1a\u0e1a\u0e23\u0e27\u0e21\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e22\u0e37\u0e14\u0e2b\u0e22\u0e38\u0e48\u0e19\u0e17\u0e32\u0e07\u0e44\u0e0b\u0e40\u0e1a\u0e2d\u0e23\u0e4c\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 Next Cyber Security \u0e01\u0e25\u0e22\u0e38\u0e17\u0e18\u0e4c\u0e14\u0e49\u0e32\u0e19\u0e04\u0e27\u0e32\u0e21\u0e21\u0e31\u0e48\u0e19\u0e04\u0e07\u0e1b\u0e25\u0e2d\u0e14\u0e20\u0e31\u0e22\u0e44\u0e0b\u0e40\u0e1a\u0e2d\u0e23\u0e4c\u0e02\u0e2d\u0e07\u0e40\u0e23\u0e32\u0e16\u0e39\u0e01\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e02\u0e36\u0e49\u0e19\u0e1a\u0e19\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e01\u0e33\u0e01\u0e31\u0e1a\u0e14\u0e39\u0e41\u0e25\u0e41\u0e1a\u0e1a\u0e1a\u0e39\u0e23\u0e13\u0e32\u0e01\u0e32\u0e23 (Unified Compliance Architecture) \u0e17\u0e35\u0e48\u0e1c\u0e2a\u0e32\u0e19\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19\u0e2a\u0e32\u0e01\u0e25\u0e17\u0e35\u0e48\u0e40\u0e02\u0e49\u0e21\u0e07\u0e27\u0e14\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14\u0e02\u0e2d\u0e07\u0e42\u0e25\u0e01\u0e40\u0e02\u0e49\u0e32\u0e44\u0e27\u0e49\u0e14\u0e49\u0e27\u0e22\u0e01\u0e31\u0e19 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\u0e0b\u0e36\u0e48\u0e07\u0e16\u0e37\u0e2d\u0e40\u0e1b\u0e47\u0e19\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e42\u0e25\u0e01\u0e43\u0e19\u0e01\u0e32\u0e23\u0e1a\u0e23\u0e34\u0e2b\u0e32\u0e23\u0e04\u0e27\u0e32\u0e21\u0e40\u0e2a\u0e35\u0e48\u0e22\u0e07\u0e44\u0e0b\u0e40\u0e1a\u0e2d\u0e23\u0e4c \u0e41\u0e19\u0e27\u0e17\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e40\u0e23\u0e32\u0e1b\u0e23\u0e30\u0e2a\u0e32\u0e19\u0e2b\u0e25\u0e32\u0e22\u0e01\u0e23\u0e2d\u0e1a\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19\u0e40\u0e02\u0e49\u0e32\u0e14\u0e49\u0e27\u0e22\u0e01\u0e31\u0e19\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e43\u0e2b\u0e49\u0e04\u0e23\u0e2d\u0e1a\u0e04\u0e25\u0e38\u0e21\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e04\u0e23\u0e1a\u0e16\u0e49\u0e27\u0e19\u0e43\u0e19\u0e14\u0e49\u0e32\u0e19\u0e18\u0e23\u0e23\u0e21\u0e32\u0e20\u0e34\u0e1a\u0e32\u0e25 \u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35 \u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e40\u0e1b\u0e47\u0e19\u0e2a\u0e48\u0e27\u0e19\u0e15\u0e31\u0e27 \u00a0 \u0e40\u0e23\u0e32\u0e44\u0e21\u0e48\u0e44\u0e14\u0e49\u0e2b\u0e22\u0e38\u0e14\u0e40\u0e1e\u0e35\u0e22\u0e07\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19\u0e1e\u0e37\u0e49\u0e19\u0e10\u0e32\u0e19 \u0e41\u0e15\u0e48\u0e44\u0e14\u0e49\u0e1c\u0e19\u0e27\u0e01\u0e04\u0e27\u0e32\u0e21\u0e40\u0e02\u0e49\u0e21\u0e07\u0e27\u0e14\u0e40\u0e0a\u0e34\u0e07\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34\u0e01\u0e32\u0e23\u0e02\u0e2d\u0e07 ISO\/IEC 27001 (International Organization for Standardization \/ 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