Deep Dive: Build AI Cyber Resilience or Perish
Hacking is on the rise, and every company should urgently build and strengthen its AI cyber resilience. Learn how AI governance and cybersecurity teams can draft a joint plan | Edition #341
TL;DR
- 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.