AI in Cybersecurity

Below is the criteria for Global AI Awards in Cybersecurity Category:

1. Design (25%)

• Robustness of AI-driven security architecture (threat detection, prevention, response).
• Integration with existing IT, cloud, and enterprise security ecosystems.
• Transparency, explainability, and ethical design in automated decision-making.
• Compliance with global security standards and regulatory frameworks (GDPR, NIST, ISO).

2. Impact (35%)

• Demonstrated improvements in detecting, preventing, and mitigating cyber threats.
• Measurable outcomes such as reduced response times, fewer breaches, or cost savings.
• Contribution to resilience of critical infrastructure, enterprises, and individuals.
• Influence on raising industry standards for security, trust, and data protection.

3. Creativity (25%)

• Innovative applications of AI for addressing evolving cyber threats (zero-day attacks, ransomware, phishing).
• Unique approaches to predictive threat intelligence and anomaly detection.
• Pioneering integration of AI with blockchain, quantum security, or advanced authentication methods.
• Differentiation from conventional cybersecurity solutions.

4. Ease of Use (15%)

• Accessibility and usability for security teams, IT administrators, and end-users.
• Intuitive dashboards, automation, and decision-support tools that simplify complex tasks.
• Interoperability with multi-vendor systems and hybrid infrastructures.
• Training, documentation, and support for organizations of varying technical maturity.