Preparing for the Future: The Pillars of Digital Safety Foresight

The report outlines a six-pillar framework for digital safety foresight—Frame and govern, Sense, Model, Assess readiness, Install early warning, and Synthesize—designed to help organizations move from speculative scanning to action-oriented risk mitigation. It identifies key drivers of change, such as agentic AI, synthetic media, and immersive interfaces, which create new vectors for harm. To translate foresight into action, the report proposes four response pathways: Known and covered, Novel/uncertain coverage, Not covered, and Unpredictable/unknown, each with specific operational postures. The framework is designed to be scalable, suggesting the use of AI to augment analysis and horizon scanning while maintaining human accountability.

• The digital environment is experiencing rapid shifts driven by agentic AI, synthetic media, and immersive platforms, which reduce the cost and ease of committing fraud and abuse while creating new vectors for manipulation and grooming.
• Synthetic media is eroding default trust in visual and auditory cues, with a high prevalence of non-consensual sexual content, where over 90% of deepfakes are non-consensual pornography predominantly targeting women and girls.
• The shift toward private and semi-private communication channels, such as encrypted messaging, reduces provider visibility and allows adversaries to coordinate harms in closed spaces before operationalizing them elsewhere.
• Regulatory fragmentation across different jurisdictions creates operational complexity and provides opportunities for adversaries to exploit 'seams' in enforcement and data sharing.
• The report proposes a six-pillar foresight process: 'Frame and govern' (setting boundaries), 'Sense' (horizon scanning), 'Model' (explaining harm mechanisms), 'Assess readiness' (testing capabilities), 'Install early warning' (monitoring triggers), and 'Synthesize' (creating decision-ready harm cards).
• Organizations should use a 'Vulnerability–Exposure–Capacity' (VEC) framework to model the distribution of impacts, recognizing that the same harm mechanism can affect different groups disproportionately.
• To manage uncertainty, the report recommends 'tripwires' (pre-agreed conditions for precautionary action) and 'sentinels' (human detection layers) to prevent decision latency for unpredictable harms.
• The report defines four response pathways based on the maturity of the harm mechanism and the organization's readiness: 'Known and covered' (tighten controls), 'Novel/uncertain coverage' (validate and prepare), 'Not covered' (build new safeguards), and 'Unpredictable/unknown' (establish tripwires and redress).
• AI can be integrated into the foresight process at three levels: analysis augmentation, as a creative sparring partner for scenario generation, and fully integrated/customized workflows, though the latter remains rare.

APA

World Economic Forum (2026). Preparing for the Future: The Pillars of Digital Safety Foresight. https://reports.weforum.org/docs/WEF_Preparing_for_the_Future_2026.pdf

Chicago

World Economic Forum. Preparing for the Future: The Pillars of Digital Safety Foresight. 2026. https://reports.weforum.org/docs/WEF_Preparing_for_the_Future_2026.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=Preparing for the Future: The Pillars of Digital Safety Foresight |date=June 2026 |url=https://reports.weforum.org/docs/WEF_Preparing_for_the_Future_2026.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2026preparing, author = {{World Economic Forum}}, title = {{Preparing for the Future: The Pillars of Digital Safety Foresight}}, institution = {World Economic Forum}, year = {2026}, month = jun, url = {https://reports.weforum.org/docs/WEF_Preparing_for_the_Future_2026.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }