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AI Adoption Accelerates as Security Firms Warn of Model-Specific Attacks

Widespread incidents alongside a deep talent shortfall are prompting security-by-design with governed autonomous tools.

Overview

  • Akamai forecasts that attackers are already exploiting AI model weaknesses such as instruction injection, data poisoning and manipulation of connected sources that evade traditional defenses.
  • Akamai CTO Bobby Blumofe predicts that in 2026 criminals will systematically use large language models and advanced automation to scam corporations, with real-time deepfakes forcing tougher identity verification.
  • Globant’s Tech Trends 2026 reports that 97% of companies have suffered AI-related security incidents tied to weak access controls as enterprises shift from experiments to operational AI.
  • PwC finds more than half of security leaders are exploring or deploying autonomous AI for faster detection and response, with Diego Taich noting Latin America’s interest given threat sophistication and scarce specialists, while stressing strong oversight and ethics.
  • Fortinet cites a cybersecurity talent gap of 329,000 in Latin America and over 4.7 million worldwide, reinforcing calls to embed security, governance and organizational awareness from design to avoid unmanaged “Shadow AI.”