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How to Overcome Challenges When Adopting Hyperautomation in Security

The Hyperautomation in Security Market Growth trajectory reflects structural drivers—alert volume, staffing constraints, cloud complexity, and regulatory accountability. Boards fund initiatives that compress response time and improve auditability, reframing automation as resilience infrastructure. MDR and co‑managed SOC providers amplify growth by standardizing outcomes across tenants and verticals. Identity and SaaS automations expand coverage as human‑targeted attacks rise, while posture‑driven remediation tackles misconfigurations at scale.


Technology enablers reduce friction. Certified connectors shorten integration; templated playbooks and AI‑assisted authoring accelerate first wins; cloud‑native runtimes simplify global rollouts with data residency controls. Observability across data, workflows, and outcomes lets leaders prove value and iterate rapidly. Executive dashboards translate technical metrics into risk and continuity language, securing sustained sponsorship.


Trust underpins durable growth. Platforms that provide guardrails—simulation, staged rollouts, granular approvals—win stakeholder confidence. Clear ROI stories—hours saved per alert, escalations reduced, downtime avoided—unlock budgets even in headwinds. As organizations adopt “measure, automate, verify” loops across detection,…

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GPS, RFID, and BLE: Comparing LoT Tracking Technologies

Understanding the Location of Things Market Size requires dissecting spend across hardware, software, and services, and across indoor and outdoor use cases. Growth is propelled by digital transformation in logistics, retail operations, healthcare modernization, and Industry 4.0. While hardware often anchors initial budgets—tags, anchors, readers—software platforms and analytics increasingly command a larger share over time. Services, including deployment and change management, remain critical for success, especially in complex brownfield sites. Repeatable, template-based deployments are helping reduce professional services costs and unlock scale.


Regional dynamics influence size and trajectory. North America and Europe lead in enterprise deployments, driven by regulatory requirements, labor constraints, and omnichannel pressures. Asia-Pacific sees rapid adoption in manufacturing, smart cities, and large public venues, with governments investing in infrastructure and digital twin programs. Market size also correlates with vertical regulations—healthcare and pharmaceuticals invest for compliance and chain-of-custody, while mining and construction prioritize safety and productivity. Hybrid models—private 5G combined…


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Let's Discuss: Ride Sharing - Transforming Urban Transportation

Let's Discuss: Ride Sharing - Transforming Urban Transportation

Ride sharing has revolutionized the way people commute, providing a flexible and often more affordable alternative to traditional transportation methods. With the rise of apps like Uber, Lyft, and others, ride sharing has become a significant part of urban mobility.

What is Ride Sharing?

Ride sharing involves using a mobile app to connect passengers with drivers who are willing to provide transportation in their personal vehicles. Unlike traditional taxi services, ride sharing typically allows for a more casual arrangement, where users can request rides on-demand.

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my book in kindle

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Advancing DevSecOps with Generative AI



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Advancing DevSecOps with Generative AI is a comprehensive guide that explores the integration of Generative AI into DevSecOps practices to build secure, scalable, and intelligent software delivery pipelines. Authored by seasoned DevOps architect Srinivasa Rao Singireddy, the book outlines foundational DevSecOps principles such as shift-left security, automation, and continuous monitoring, while also detailing essential frameworks including NIST SP 800, OWASP, ISO 27001, and SLSA. The text provides a practical overview of modern security toolchains, covering areas like static and dynamic code analysis, container and infrastructure security, secrets detection, and software composition analysis. Through the lens of Generative AI, the book highlights cutting-edge advancements in secure code generation, threat intelligence, synthetic test data creation, and ChatOps for streamlined incident response. Aimed at DevSecOps professionals, cloud architects, and security engineers, this guide equips readers with actionable strategies to modernize legacy systems and design secure-by-default cloud-native environments.

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