Planned Research Areas

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1. AI-Driven Threat Detection & Response

Objective: Develop AI-based security monitoring systems that detect and respond to cyber threats in real time. Scope:

• Utilizing machine learning (ML) models for predictive threat detection.

• Automating real-time anomaly detection and alert mechanisms.

• Enhancing SOC operations with AI-powered threat intelligence.

 

2. Adversarial AI & Security Risks

Objective: Research adversarial attacks against AI models and develop countermeasures to mitigate them. Scope:

• Studying AI model vulnerabilities to adversarial inputs and poisoning attacks.

• Developing defensive techniques to protect AI-driven security solutions.

• Testing resilience of AI systems against evolving cyber threats.

 

3. AI-Powered Security Automation

Objective: Implement AI-driven automation to improve security workflows and incident response. Scope:

• Automating incident triage, classification, and remediation processes.

• Enhancing identity and access management (IAM) through AI-driven authentication models.

• Reducing false positives in security event detection and analysis.

 

4. AI for Zero Trust & Identity Protection

Objective: Apply AI to improve Zero Trust models and secure identity management frameworks. Scope:

• Implementing adaptive access control using behavioral analytics.

• Enhancing risk-based authentication with continuous AI-driven monitoring.

• Strengthening API security through automated policy enforcement.

 

5. AI-Guided Secure Software Development (AI-SSD)

Objective: Integrate AI into secure software development practices to improve code security and vulnerability detection. Scope:

• Using AI-powered static and dynamic code analysis for vulnerability detection.

• Automating secure DevOps (DevSecOps) workflows with AI-assisted testing.

• Enhancing security recommendations within CI/CD pipelines.