Harnessing AI with speed, trust, ethics, compliance, and collaboration

DEBASHISH JYOTIPRAKASH
VP ASIA & MD INDIA, QUALYS

“We leverage an integrated AI-driven approach that enhances our cyber teams’ ability to detect, analyze, and neutralize advanced threats—especially zero-day attacks—faster and more effectively than ever before. Key capabilities include real-time anomaly detection, automated threat response, predictive threat intelligence, continuous learning, and scalable security telemetry data processing.

Balancing AI-driven cybersecurity with privacy, ethics, and regulatory compliance requires a multifaceted strategy grounded in transparency, data protection, and responsible AI governance. We adopt a privacy-first design, use explainable AI, and foster an organizational culture that prioritizes AI ethics, digital governance,
and continuous monitoring. We limit AI training and operational data to only what is necessary, store it securely with encryption, strong access controls, and conduct regular security audits. Additionally, we use AI cybersecurity tools with built-in compliance to privacy laws like GDPR and CCPA, which automate data loss prevention, sensitive data mapping, and audit readiness.

Critical to building a resilient, AI-enabled cybersecurity ecosystem are partnerships among cybersecurity vendors, AI innovators, and cloud providers to integrate detection, endpoint protection, threat intelligence, and response automation. We also collaborate with threat intelligence networks, OWASP, and cybersecurity research communities to shape AI security standards, ethical frameworks, and open tools. Ensuring transparency and trust involves clear communication, bias detection, participatory governance, and ongoing accountability to meet regulatory expectations and user trust.”