Infographic: AI/ML Adoption and Cybersecurity Preparedness
Key findings from our 2024 Canadian Cybersecurity Study
Key Insights:
Security Frameworks Adoption:
- Across industries, ISO 27001/27002 is widely adopted, with financial services leading at 71.4%.
- Government institutions favor NIST CSF at 67.6%.
AI/ML Integration:
Financial services and healthcare show the highest emphasis on AI/ML integration in cybersecurity, with 73.2% of financial services and 70.3% of healthcare organizations prioritizing the integration of AI/ML in cybersecurity.
AI/ML Benefits:
- 67.3% of financial services organizations value reduced false-positive alerts.
- 67.7% of healthcare organizations emphasize accelerated incident response times.
Risks of Adversarial AI/ML:
62.5% of financial services and 61.8% of government organizations highlight automating vulnerability discovery and exploitation as the biggest risk.
Government Insights:
Security Frameworks:
Government organizations primarily adhere to NIST CSF (67.6%) and SOC II (61.8%), reflecting a focus on robust security standards.
Risk Concerns:
Major concerns involve automating vulnerability discovery and exploitation (53.5%) and developing new malware strains faster (46.5%).
AI/ML Adoption:
- 50% consider AI/ML a high to moderate priority
- 56.9% anticipate a major to moderate positive impact on cybersecurity over the next two years.
Healthcare Sector Insights:
Security Frameworks:
Healthcare sector heavily relies on ISO 27001/27002 (52.5%) and SOC II (64.4%) for security compliance.
AI/ML Adoption:
- 70.3% prioritizing AI/ML.
- 65.3% foresee a major to moderate positive impact on cybersecurity.
Risk Concerns:
- Major concerns involve automating vulnerability discovery and exploitation (53.5%) and developing new malware strains faster (46.5%).
- 61.4% fear adversarial AI/ML outpacing defensive measures.
Education Sector Insights:
Security Frameworks:
Education institutions primarily follow ISO 27001/27002 (57.8%) and NIST CSF (64.7%) guidelines for cybersecurity.
AI/ML Adoption:
- 50% prioritize AI/ML.
- 52% anticipate a major to moderate positive impact on cybersecurity.
Risk Concerns:
- Key concerns revolve around automating vulnerability discovery and exploitation (62.7%) and incremental adaptation of cyberattacks (40.2%).
- 61.8% fear adversarial AI/ML outpacing defensive measures.
Comparative Insights:
AI/ML Adoption:
Healthcare leads in AI/ML prioritization (70.3%), followed by financial services (73.2%) and education (50%).
Security Frameworks:
Financial services and healthcare prioritize ISO 27001/27002 and SOC II, while government institutions rely on NIST CSF and SOC II.