Quantum computing is reshaping the future of cybersecurity. DEW Diligence examines NIST's latest post-quantum cryptography guidance, emerging enterprise risks, and the strategic decisions business leaders should consider to protect critical information and strengthen long-term resilience.

What happens when the future of artificial intelligence depends not on one superintelligent machine, but on interconnected human and AI agents? A DEW Diligence perspective on Google DeepMind's vision of artificial symbiotic intelligence, the distinctions between AGI and superintelligence, and the emerging possibilities of quantum computing.

Self-replicating malware isn't new. But Anthropic's research explores how AI-driven reasoning, adaptation, and operational knowledge could change its capabilities. We examine the emerging cybersecurity implications for smart homes, enterprise networks, IoT devices, and industrial systems—and the safeguards that matter most.

The EPA–DOE ENERGY STAR transition marks a new chapter in federal energy efficiency and technology leadership. Explore how secure IT modernization, AI’s growing energy demands, and New Jersey’s Power NJ Act and nuclear initiatives can help shape America’s clean-energy future.

KPMG’s 2026 Cyber and Technology Risk Survey signals a major shift in the CISO role — from technology defender to enterprise risk and business value leader. DEW Diligence examines how AI, security architecture/engineering , regulation, financial stewardship, and executive governance are reshaping the CISO mandate and what organizations must do to move with both speed and safety.

AI adoption creates value when business strategy, technology risk, cybersecurity, governance, and financial discipline move together. This article explores how leaders can connect AI investment to measurable outcomes, manage risk responsibly, and build a scalable path from experimentation to enterprise value and ROI.

As emerging technologies converge across AI, automation, robotics, IoT, information technology, and industrial systems, organizations must manage both the opportunities and the risks created by increasingly connected, intelligent environments. This article explores the forces driving that convergence and outlines practical strategies for governing, securing, and responsibly integrating these technologies across the modern enterprise.

In the enterprise context, three key roles are critical: The CIO aligns AI with business goals and data readiness, the CISO protects against security and compliance issues, and the CTO ensures responsible development and integration of AI systems. The objective is to enable safe, effective use of AI without hindering progress.