FEATURE: NETWORK AND SECURITY testing detecting vulnerabilities in real-time. Cloud-distributed 5G Core architectures and AI-driven security orchestration are reshaping how infrastructure supports business needs. The future lies in intelligent, converged systems that continuously learn, adapt, and protect across dynamic digital environments.
By prioritising incidents by risk, minimising false positives and offering real-time insights, AI reduces workload and also elevates the accuracy and speed of decision-making across security and network operations
What is the required skill sets to manage the convergence of network and security platforms?
What are the pain points, that CIOs and IT administrators have in the convergence of network and security platforms?
CIOs and IT leaders face several hurdles, including integration of legacy systems with modern platforms and managing multi-vendor environments, both leading to interoperability gaps and security inconsistencies. Compliance with evolving regulations like General Data Protection Regulation( GDPR) adds further complexity. A shortage of skilled professionals and escalating costs for infrastructure overhaul remain major concerns. Integrating security into performance-sensitive networks can create latency and scalability issues and ensuring consistent security policies across hybrid environments is another challenge. Managing AI-driven systems also requires continuous fine-tuning. Additionally, vendor lock-in and challenges in incident response co-ordination must be addressed. At Tech Mahindra, we deliver scalable, vendoragnostic solutions that maintain performance, ensure compliance and simplify convergence across hybrid environments.
How is AI, Generative AI helping to reduce the converged workload for NOC and SOC administrators?
AI and Generative AI are transforming Network Operations Center( NOC) and Security Operations Center( SOC) operations by automating alert triage, incident response and anomaly detection, freeing up teams to focus on complex tasks. Predictive analytics pre-empt network disruptions, while AI rapidly identifies emerging threats based on behavioural anomalies. Generative AI can suggest and auto-generate resolution steps, significantly reducing response time. At Tech Mahindra, we leverage these capabilities to enhance service uptime and operational efficiency, Tech Mahindra’ s Ops amplifAIer platform helps service engineers by creating a unified view, root cause analysis, remediation with code / script generation.
Professionals need a hybrid skill set blending AI literacy, cybersecurity expertise and cloud-native infrastructure design. Key competencies include understanding ML models, responsible AI practices and securing AI-generated code. Designing AI-augmented, edge-enabled architectures is now essential. With automation reducing manual coding, the focus shifts to validating AI outputs, ensuring explainability and aligning systems with business objectives. Soft skills like adaptability, interdisciplinary collaboration and creative problem-solving are equally critical. At Tech Mahindra, we foster continuous learning and emphasise ethical engineering to ensure systems remain transparent, secure and business-aligned. Success will favour those who see AI as a collaborator, not just a tool.
Big Data and predictive analytics
What are the top trends and innovations taking place in Big Data and predictive analytics?
Big Data and predictive analytics are evolving rapidly with AI and Machine Learning driving real-time insights. Synthetic data is emerging as a key innovation, enabling model training without privacy risks or high acquisition costs. Edge analytics is gaining momentum, reducing latency by processing data closer to the source. Cloud-based platforms are democratising access to advanced analytics, offering scalable and costeffective solutions. Data democratisation empowers more users to derive value from data, enhancing agility. Together,
CIOS AND IT LEADERS FACE SEVERAL HURDLES, INCLUDING INTEGRATION
OF LEGACY SYSTEMS WITH MODERN PLATFORMS
AND MANAGING MULTI- VENDOR ENVIRONMENTS,
BOTH LEADING TO INTEROPERABILITY GAPS AND
SECURITY INCONSISTENCIES.
www. intelligentcio. com INTELLIGENTCIO MIDDLE EAST 25