Announcing Forrester’s 2026 Security & Risk Enterprise Leadership Award

2026-05-18 · Source: Featured Blogs - Forrester · Field: Technology & Digital — Cybersecurity & Data Privacy, Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Forrester is accepting nominations for its fourth annual Security & Risk Enterprise Leadership Award, recognizing organizations that strategically use security, privacy, and risk management to drive trust, resilience, and responsible innovation, especially amidst the rise of AI. This award honors entire organizations, not individuals, for transforming these functions from mere cost centers into enablers of innovation and trusted experiences. It specifically acknowledges efforts in navigating complexities introduced by AI-driven decision-making and agentic systems. Winning organizations embed security, privacy, and risk thinking by design, proactively mitigate risks from emerging technologies like agentic AI, and leverage trust as a strategic asset for growth and competitive advantage. The submission deadline is June 29, 2026, with the winner announced before the Security & Risk Forum on November 9–10, 2026, in Washington, DC.

Key takeaway

For Directors of AI/ML and AI Security Engineers navigating the complexities of AI adoption, demonstrating robust security, privacy, and risk management is crucial for building trust and enabling responsible innovation. Consider applying for the Forrester Security & Risk Enterprise Leadership Award by June 29, 2026, to validate your organization's commitment to secure AI and gain industry recognition, which can enhance your standing with customers, regulators, and employees.

Key insights

Security, privacy, and risk management are strategic enablers of trust and innovation, especially with AI adoption.

Principles

• Embed security by design.
• Proactively mitigate emerging tech risks.
• Use trust as a strategic asset.

Method

Organizations should demonstrate how security, privacy, and risk practices drive measurable business outcomes and enable secure, private, and resilient customer and employee experiences by design.

In practice

• Assess risks from agentic AI.
• Showcase trust-driven strategies.
• Apply for industry recognition.

Topics

• Security & Risk Leadership
• AI Governance
• Agentic AI Systems
• Enterprise Trust
• Privacy Management

Best for: Executive, Director of AI/ML, AI Security Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.