Traditional Cybersecurity Can't Protect AI Systems, Study Confirms

New research published by Harvard Business Review on January 8 states that traditional cybersecurity defenses fail to protect generative AI systems. The study combines survey data, executive interviews and lab analysis to reveal systemic security gaps.

Core Findings:

Supply chain vulnerability: there are structural risks in the AI supply chain, including the possibility of malicious implantation of hardware/software components at various points in the chain

Misaligned defenses: traditional defenses designed for rules-based software cannot protect generative AI systems that learn and adapt from data

Severe Talent Shortage: Extreme Lack of AI Security Professionals Exacerbates Enterprise Defense Dilemma

The study's conclusions are clear: Leaders must move beyond application tinkering to fortifying the infrastructure and supply chain on which AI depends, while using AI itself as a front-line defense to ensure resilience.

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