Quick Summary
In 2026, AI is expected to transform security practices, creating new risks and challenges for security leaders. The Predict 2026 event will focus on how AI changes the nature of risk and governance. Key insights will be provided by the Futurum analyst team, addressing issues such as the impact of agentic AI on SaaS pricing and the urgency of building trust in AI systems.
The Securityish Brief
Predict 2026 emphasizes the significant role of AI in reshaping security landscapes. The event will feature insights from the Futurum analyst team, who will discuss how AI fundamentally alters risk management and governance. Key sessions will cover topics such as the economics of SaaS influenced by agentic AI, which affects access controls and accountability.
Additionally, the acceleration of development through AI will be explored, highlighting the need for earlier integration of security measures in software lifecycle processes. The event will also address the physical limitations of AI, including power and infrastructure constraints that impact security posture.
Trust in AI is a central theme, with discussions on governance, policy, and risk management. The convergence of security strategy with business outcomes will be a focal point, illustrating the growing influence of security leaders on customer trust and brand reputation.
Furthermore, the event will examine how AI-driven complexity challenges existing security models, prompting CIOs to rethink cloud and operational strategies. Data governance will also be a critical topic, as it determines the security of AI systems.
Predict 2026 aims to prepare security leaders for the upcoming challenges posed by AI, emphasizing the need for proactive measures to address trust and governance issues.
- Keith Kirkpatrick of Futurum discusses how agentic AI changes the economics of SaaS, influencing access controls and accountability.
- Mitch Ashley examines how AI-driven development accelerates delivery, necessitating earlier security integration.
- Daniel Newman provides insights into the forces shaping technology and business in 2026, including AI-driven security challenges.
- Nick Patience explores the physical realities behind AI, including power and infrastructure constraints that affect security.
- Fernando Montenegro addresses the urgency of building trust in AI, focusing on governance and risk management.
- Tiffani Bova connects AI risk to business outcomes, highlighting the influence of security leaders on growth and reputation.
- Dion Hinchcliffe discusses how AI workloads challenge current cloud and security architectures, emphasizing the need for evolution.
- Brad Shimmin focuses on data governance as a critical factor in determining the security of AI systems.
Key Takeaways
- Attend Predict 2026 to gain insights on how AI will reshape security practices.
- Review your current SaaS pricing models to understand how AI may impact access controls.
- Integrate security measures earlier in your software development lifecycle to address accelerated development risks.
- Evaluate your organization’s data governance practices to ensure AI systems are secure.
- Monitor emerging AI technologies and their implications for your security strategy.
Key Terms & Concepts
- Agentic AI: In this article, agentic AI refers to autonomous systems that make decisions without human intervention.
- SaaS: SaaS stands for Software as a Service, a software distribution model where applications are hosted in the cloud and accessed via the internet.
- Trust Gap: The trust gap in AI refers to the lack of confidence in AI systems regarding their governance, security, and risk management.
Read the original article here: https://securityboulevard.com/2026/01/predict-2026-ai-trust-and-the-security-reckoning-ahead/
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