Artificial intelligence and the modern cybersecurity landscape

Experts from TCS and Rent the Runway have outlined the significant implications of artificial intelligence integration within the modern cybersecurity landscape. While AI offers potential to reduce workload and enhance efficiency, it simultaneously introduces complex risks that require proactive management strategies. Rehan Jaddi, vice-president of engineering and chief information and security officer at Rent the Runway, emphasized that rapid AI adoption represents a key cybersecurity challenge. He stated that the organization is developing a comprehensive AI governance and risk management framework to enable secure innovation rather than simply blocking threats. This strategy involves defining risk tolerance, establishing ethical policies, and adapting IT teams' skillsets to safeguard data proactively. Jennifer Scott, head of cybersecurity delivery and operations at TCS’ global delivery centre in Letterkenny, noted that while AI can mature security operations centres, it also empowers attackers through adversarial methods. She highlighted that susceptibility to AI-driven vishing and phishing attacks makes user education a critical component of preventing system compromise. Regarding qualifications, Scott identified incident management, threat hunting, and forensics as high-demand areas, alongside operational technology security. Recognized certifications such as OSCP, CISSP, and CISM remain relevant. Jaddi noted that while the demand for traditional cybersecurity skills remains high in 2026, Rent the Runway increasingly seeks professionals who blend technical expertise with business acumen. Key focus areas include AI and machine learning security, cloud application security, and risk management communication.