Develop and implement AI-driven security automation tools to detect, analyze, and mitigate security threats in real-time.
Utilize AI/ML for compliance monitoring and enforcement, ensuring adherence to regulations such as SOC 2, ISO 27001, and GDPR.
Leverage AI to analyze network and system activity, identifying abnormal patterns and potential security breaches before escalation.
Develop machine learning models to continuously assess security risks across both cloud and on-premise environments, offering real-time insights and recommendations.
Implement AI-based analytics for Identity and Access Management (IAM), detecting anomalous access patterns and enforcing dynamic access control policies.
Collaborate across teams (Security, DevOps, Compliance) to integrate AI solutions into monitoring, log analysis, and vulnerability management tools.
Design and implement self-healing security systems, using AI-driven remediation to automatically patch vulnerabilities and mitigate risks.
Enhance data protection and encryption strategies with AI, detecting unauthorized access and preventing data exfiltration.
Evaluate and refine AI-driven security models to optimize security posture and adapt to emerging threats and evolving compliance requirements.