Srinivasa Rao karanam
Biography
Accomplished Senior Data Engineer, Business Intelligence Analytics Consultant, and Program Manager with over 25 years of progressive experience in designing, implementing, and administering enterprise BI solutions. Recognized for expertise in SAP Business Objects, Power BI, and Microsoft BI platforms, as well as advanced data warehousing, ETL, and analytics. Demonstrates a proven ability to manage large-scale BI projects, lead cross functional teams, and deliver robust, scalable, and secure analytics environments across diverse industries, including manufacturing, pharmaceuticals, transportation, real estate, and media. Adept at translating business requirements into actionable insights, optimizing system performance, and ensuring regulatory compliance. Committed to continuous improvement, user enablement, and delivering measurable business value through data driven decision-making. As part of the leadership team, I assess complex delivery programs from both delivery and f inancial perspectives, providing actionable recommendations. Responsible for hiring and evaluating Managers, Implementation Consultants, Product Specialists, and QA Leads across multiple projects. Through effective forecasting, strategic staffing, and meticulous planning, I have successfully prevented surprises and budget overruns, ensuring smooth operations and optimal resource allocation. My comprehensive background in the technology sector-particularly in cloud-native solutions-and my experience heading professional services for large clients have equipped me with strong financial acumen, including managing P&L and budgets. I have successfully scaled processes and operations to manage multiple enterprise-level customers.
Research Interest
Abstract
Navigating the AI Revolution in Cybersecurity: A 2025 Perspective
Artificial intelligence is profoundly impacting the cybersecurity landscape in 2025. AI has emerged as both a formidable defense tool and a potent weapon for attackers, fundamentally reshaping threat detection, incident response, and predictive analytics. Defenders leverage AI to accelerate breach detection, automate responses, and anticipate future attacks, resulting in significant reductions in response times and breach costs. Conversely, attackers exploit AI for sophisticated phishing campaigns, rapid vulnerability scanning, deepfake fraud, and poisoning AI models, contributing to a surge in AI-driven threats.
This presentation focuses on data poisoning, autonomous (agentic) AI attacks, supply chain vulnerabilities, and AI-powered botnets, emphasizing the necessity for robust data governance and integrated security practices. It will also discuss embedding security in AI development, cross-functional teamwork, continuous monitoring, and leveraging AI to counter evolving threats. The importance of human expertise, ongoing training, and ethical oversight is highlighted to complement technological advancements.
Looking ahead, regulatory frameworks like the EU?s AI Act, the evolution of smarter Security Operations Centers (SOCs), and the rise of quantum risks will shape cybersecurity strategies. Success in this dynamic environment requires organizations to measure key performance indicators, invest in skills development, and select trustworthy AI vendors. Proactive, disciplined adoption of AI-balanced with human intelligence and ethical standards-is critical for thriving amid the challenges and opportunities of the AI-driven cybersecurity era.
