Whitepaper
2026 Cybersecurity Predictions
Oct. 10, 2025 · Authored by Ben Hobby, Brian Nichols, Bernard Regan, Christopher J. Tait
Our team of professionals return with new insights and predictions for the cybersecurity landscape in 2026. We invite you to download our 2026 Cybersecurity Predictions e-book, which reflects on our past year predictions and sets sights on the cybersecurity forecast of the upcoming year. This edition of the predictions explores artificial intelligence (AI) regulatory complexities, how cybersecurity threats escalate into an arms race, supply chain vulnerabilities, cyber insurance and more.
In this e-book, we explore the impact of AI in our lives, both as an ally and a risk. Organizations will need to strike a balance on the technology that can benefit them and can also be used to attack them. Regulators are demanding greater transparency in AI usage, placing increased pressure and responsibility on executives to identify, assess and manage emerging AI risks. But do the executives have a good grasp of AI systems and what is actually at stake? Recovery from an AI outage in a decision-making environment driven by AI tools is often marked by delays, operational complexity and significant expense.
There is a steady presence of AI in the supply chain. Many times, unchecked machine-written code is introduced into critical systems at banks, hospitals and government agencies. With AI-driven capabilities advancing, cyber insurers are increasingly focusing on small and mid-sized businesses (SMBs), a segment that has traditionally been more vulnerable and less protected. We delve into emerging topics like the reevaluation of software assurance for organizations and the transformation of conventional underwriting models for SMBs in our 2026 Cybersecurity Predictions e-book.
