Deep Dive: Build AI Cyber Resilience or Perish

The acceleration of AI development provides malicious actors with unprecedented attack capabilities, enabling faster and larger-scale, complex cyberattacks. Organizations must move beyond traditional cybersecurity measures and adopt an integrated approach called AI cyber resilience, which connects governance, threat intelligence, and various response and recovery functions. AI-enabled cyberattacks utilize AI to enhance or automate attack stages, such as generating phishing messages, exploiting vulnerabilities, or writing malicious code, fundamentally altering assumptions about attack likelihood and speed.

• Cyberattacks on supermarket chains in seven European countries disrupted refrigeration systems, highlighting a period of transition.
• AI development is making attack capabilities cheaper and easier for malicious actors, increasing speed, scale, and complexity.
• The UK’s NCSC predicts AI will enhance cyber intrusions, increasing threat frequency and intensity through 2027.
• Organizations need to adopt AI cyber resilience, an integrated approach encompassing governance, threat intelligence, preventive controls, detection, incident response, business continuity, third-party risk, recovery, and continuous testing.
• AI-enabled cyberattacks use AI to support, enhance, automate, or adapt attack stages, such as generating convincing phishing messages or identifying vulnerabilities.
• AI alters traditional cybersecurity risk assessments by reducing the cost and time for attackers to prepare and personalize attacks.
• Cybersecurity focuses on protecting systems and data, while cyber resilience assesses an organization’s ability to maintain essential business activities during and after an incident.
• AI cyber resilience applies cyber resilience principles to an environment where attackers increasingly use AI, requiring collaboration between security and AI governance professionals.
  https://foxvector.com/articles/a64383e4-78fc-463c-8a89-3d76724fad21