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A CISO's Playbook for Defending Data Assets Against AI Scraping

ID: c73294e8-1c7e-5cbb-8748-67bcfe46634a

STIX ID: report--c73294e8-1c7e-5cbb-8748-67bcfe46634a

Feed Name: Dark Reading

Date Published: 2026-02-18

Date Updated: 2026-04-21

Author: Areejit Banerjee

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This article provides a CISO-focused playbook for defending against AI-driven scraping, arguing that scraping is a board-level business risk rather than just a nuisance bot problem. It recommends establishing a clear mandate that frames scraping as asset protection, building an asset-centric inventory and risk map (using standards like the OWASP Automated Threat ontology), and running parallel tactical mitigations (WAF tuning, behavioral detection) and strategic changes (login enforcement, API redesign, pricing models). The goal is to measure and prioritize scraping risk across high-value endpoints, quantify financial impact, and shift from reactive blocking to governed, business-aligned protections.

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