Speaker

Sridhar Rangu

Sridhar Rangu

Driving Digital Transformation with Strategic Vision, AI Innovation, and Cross-Functional Leadership

McKinney, Texas, United States

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Sridhar Rangu is a Senior Project and Program Manager with over 20 years of IT experience, leading strategic digital transformation initiatives across industries. He specializes in aligning technology solutions with business objectives, delivering AI-powered automation, enterprise cloud migrations, and large-scale modernization programs that maximize ROI.

Currently with CVS Health through XSell Resources, Sridhar drives initiatives that optimize system architectures, accelerate delivery cycles, and enhance customer experiences. His career spans leadership in pre-sales strategy, professional services delivery, and cross-functional team management, successfully guiding onshore and offshore engineering teams to deliver complex, high-value projects.

Sridhar holds a Bachelor’s degree in Engineering and an Executive MBA from Quantic School of Business. A certified PMP, he is passionate about fostering innovation, mentoring the next generation of leaders, and helping organizations embrace emerging technologies to stay ahead in an AI-driven world.

Area of Expertise

  • Finance & Banking
  • Health & Medical
  • Information & Communications Technology

Topics

  • IT Leadership
  • Digital Transformation Leader
  • AI-Powered Digital Transformation
  • Healthcare Technology
  • Agile Enterprise Transformation Initiatives Leaderships
  • Cloud Migration & Modernization
  • Product Thinking in Enterprise Delivery
  • Program & Project Management

Zero Trust in Action: A CISO’s Playbook for Securing Cloud and Hybrid Enterprises

Zero Trust has evolved from a buzzword to a board-level imperative — yet many organizations still struggle to operationalize it effectively. This session offers a field-tested roadmap for implementing Zero Trust architectures across complex cloud and hybrid environments, based on lessons learned from real-world transformation programs.

Drawing from multi-cloud modernization initiatives in the healthcare and insurance industries, the discussion outlines practical steps to build an adaptive security architecture that continuously validates users, devices, and data access without impeding productivity.

Key discussion points include:

Zero Trust Framework Implementation: How to align identity, network segmentation, and device posture into a unified access control model.

Cloud Security Integration: Applying Zero Trust principles to SaaS, PaaS, and IaaS environments.

Continuous Authentication and AI-driven Access: Leveraging behavioral biometrics and contextual analytics to detect anomalies in real time.

Cultural and Governance Alignment: Ensuring cross-functional buy-in and executive sponsorship for sustained adoption.

Metrics that Matter: Establishing performance indicators that demonstrate Zero Trust’s business impact to the board.

The session provides a non-commercial, end-user-driven perspective designed for CISOs seeking actionable insights rather than theoretical frameworks. It highlights both strategic and operational challenges — from tool sprawl to change management — and demonstrates how to overcome them through policy automation and stakeholder engagement.

Attendees will walk away with a step-by-step strategy to:

Evaluate Zero Trust readiness and build a phased adoption roadmap.

Integrate Zero Trust controls with existing identity and cloud security tools.

Measure security outcomes and communicate ROI to executive leadership.

Whether you’re early in your Zero Trust journey or scaling implementation enterprise-wide, this session will help you turn strategy into measurable security outcomes.

From Reactive Defense to Predictive Security: Leveraging AI for Threat Intelligence and Resilience

As cyber threats evolve at machine speed, traditional defense models are no longer sufficient. CISOs must transition from reactive incident response to predictive security operations — leveraging artificial intelligence (AI), automation, and data-driven intelligence to anticipate and neutralize threats before they disrupt the enterprise.

This session explores how forward-thinking organizations are redefining cybersecurity operations through AI-driven threat detection, behavior analytics, and continuous learning systems. Drawing from enterprise-scale transformation programs across healthcare and financial services, the discussion provides a pragmatic roadmap for embedding AI capabilities within existing SOC and governance structures.

Attendees will gain actionable insights into:

Predictive Threat Intelligence: How AI and machine learning can detect emerging attack patterns, insider risks, and ransomware tactics before impact.

Automating Defense: Integrating orchestration tools for rapid triage, containment, and remediation.

AI Ethics and Governance: Implementing responsible AI frameworks to ensure transparency, accountability, and compliance in cybersecurity decision-making.

Resilience Engineering: Using analytics to strengthen post-incident recovery and adaptive response planning.

The session emphasizes a vendor-neutral, risk-based approach to AI integration, helping CISOs and security leaders evaluate readiness, maturity, and return on investment. Real-world examples illustrate how organizations have reduced incident response times by up to 60% and improved operational visibility through intelligent automation.

Participants will leave with a clear understanding of how to:

Integrate predictive analytics into their security operations without adding complexity.

Align AI initiatives with regulatory, data privacy, and audit standards.

Develop talent strategies to build AI fluency within cybersecurity teams.

By combining human expertise with machine intelligence, CISOs can shift from reacting to yesterday’s threats to proactively shaping tomorrow’s security posture.

CISO 3.0: Redefining Leadership and Governance in the Age of AI, Cloud, and Compliance

The role of the CISO is undergoing a fundamental shift — from a technical defender to a strategic business leader. In an era defined by AI innovation, regulatory scrutiny, and cloud proliferation, modern CISOs must balance innovation with governance, and agility with accountability.

This session explores the evolution toward “CISO 3.0” — a leadership model that unites cybersecurity, risk, and business strategy. It focuses on how senior security executives can build influence, drive organizational change, and establish governance frameworks that keep pace with digital transformation.

Key themes include:

Strategic Governance: Building an enterprise-wide risk culture and integrating cybersecurity into business decision-making.

Executive Communication: Translating technical risk into language that resonates with boards and investors.

AI and Automation Oversight: Managing emerging risks from AI tools, large language models, and automated decision systems.

Global Compliance Readiness: Adapting to evolving regulations such as GDPR, CCPA, and SEC cybersecurity disclosure requirements.

Succession Planning and Talent Development: Preparing the next generation of cyber leaders through mentorship and capability building.

The session draws from Sridhar’s experience leading enterprise transformation programs that won industry recognition, including Gartner’s Eye on Innovation Award. It highlights proven governance models that align cybersecurity strategy with corporate resilience, enabling CISOs to operate as trusted advisors at the executive table.

Attendees will leave with a clear understanding of how to:

Strengthen the CISO’s influence in enterprise strategy and digital transformation.

Embed compliance automation into governance frameworks to sustain readiness.

Build leadership pipelines that ensure continuity in security vision and execution.

In short, CISO 3.0 represents the evolution from protecting systems to enabling trusted innovation. This session equips leaders with the tools and mindset to thrive in that transformation.

Building Cyber Resilience through AI-Driven Governance and Cloud Security Modernization

In today’s digital-first world, organizations are accelerating cloud adoption and AI integration — but too often, this transformation outpaces governance and security maturity. This session explores a practical framework for aligning AI innovation, cybersecurity resilience, and cloud modernization within enterprise risk and governance objectives.

Drawing from real-world implementations across the healthcare and insurance sectors, including the Blue Shield of California Care Connect transformation—a Gartner Eye on Innovation Award–winning program—this session will demonstrate how to operationalize security-by-design within large-scale digital transformation initiatives.

Attendees will learn how to translate board-level risk expectations into measurable, technology-driven outcomes through the convergence of Zero Trust, AI-enabled monitoring, and security automation. By embedding governance and resilience into transformation programs early, CISOs can move from reactive defense to proactive business enablement.

The session will cover:

AI-Driven Security Governance: Leveraging predictive analytics, behavioral modeling, and anomaly detection to strengthen enterprise risk visibility.

Zero Trust Cloud Implementation: Lessons learned from securing multi-cloud environments and modern SaaS ecosystems while maintaining business agility.

Cyber Resilience Framework: Designing repeatable resilience programs integrating security posture management, business continuity, and compliance readiness.

Executive Communication and Metrics: Translating cybersecurity outcomes into metrics that resonate with the board and executive leadership.

Cultural Transformation: Building high-performing cross-functional teams that drive a security-first mindset across IT and business units.

The discussion emphasizes vendor-neutral best practices, governance frameworks, and leadership principles that CISOs can immediately apply to enhance security maturity while enabling innovation.

By the end of this session, attendees will gain a structured approach to:

Integrate cybersecurity strategy with enterprise transformation goals.

Implement scalable AI and cloud security controls aligned with regulatory and business objectives.

Develop actionable KPIs and governance dashboards that demonstrate measurable cyber resilience.

This session provides not just theory but a field-tested blueprint for modern CISOs navigating the intersection of AI, Cloud, and Governance in complex enterprise environments.

Driving Digital Transformation at Scale: Lessons from Enterprise Modernization

Delivering transformation at scale requires more than technology — it demands leadership alignment, cross-functional collaboration, and cultural transformation. Based on Sridhar Rangu’s experience leading distributed engineering and delivery teams at Salesforce and CVS Health, this session shares practical strategies to scale Agile practices across global, onshore-offshore ecosystems.

Attendees will gain insights into establishing governance, balancing agility with control, and integrating DevOps and cloud-native practices for enterprise modernization. Real-world case studies demonstrate how to maintain delivery velocity while driving innovation, improving transparency, and ensuring stakeholder confidence in complex enterprise environments.

Bridging Business Strategy and Technology Execution in Data-Intensive Environments

This session explores proven approaches to leading large-scale digital transformation programs that demand performance, scalability, and rapid delivery. Drawing from real-world enterprise initiatives, Sridhar Rangu shares how organizations can align business objectives with technology execution to achieve measurable ROI.

The talk covers practical frameworks for managing AI-driven automation, cloud migration, and modernization initiatives, emphasizing how cross-functional leadership and agile delivery models accelerate outcomes. Attendees will gain actionable insights on structuring transformation programs that deliver sustainable value in complex, data-intensive environments.

AI-Powered Automation in Program Management

Artificial Intelligence is reshaping how large programs are delivered — from predictive risk management to automated reporting and smarter resource allocation. In this session, Sridhar Rangu draws on his experience managing digital programs at CVS Health and Salesforce to demonstrate how AI can enhance program governance and delivery excellence.

The session explores practical ways to integrate AI-driven insights into estimation, scheduling, and stakeholder communication, ensuring faster decision-making and improved project outcomes. Sridhar will share frameworks, tools, and lessons learned for organizations looking to modernize their delivery operations with data-driven automation.

Sridhar Rangu

Driving Digital Transformation with Strategic Vision, AI Innovation, and Cross-Functional Leadership

McKinney, Texas, United States

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