The Human Risk Reckoning: Why security must evolve for an AI-augmented workforce (www.techradar.com)

🤖 AI Summary
As organizations rapidly adopt AI and automation, their security models face unprecedented challenges, leading to a significant reckoning in risk management. With cybercriminals leveraging advanced tools like phishing-as-a-service and employees increasingly using unapproved AI technologies, the traditional perimeter-based security approaches prove inadequate. A dual risk emerges, where sensitive data shared with AI tools may be mishandled internally, while external threats become more sophisticated, including deepfakes and impersonation. To address these evolving risks, a shift towards Human Risk Management (HRM) is essential. Rather than employing punitive measures against employees falling victim to attacks, organizations should focus on building a culture of support and proactive training. This involves integrating security practices into everyday tasks and treating employees as adaptive partners rather than liabilities. As employees and AI systems collaborate more closely, it is vital to establish real-time behavioral and monitoring controls to protect sensitive data effectively. The future of cybersecurity lies in creating responsive systems that empower better decision-making at the moment, rather than merely restricting access or enforcing rules.
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