Using AI with transparency and collaboration to tackle evolving cyber threats

PANKIT DESAI
CEO & CO-FOUNDER, SEQURETEK

We leverage advanced AI technologies to detect and respond to sophisticated threats, including zero- day attacks, by using models and algorithms trained to understand and predict diverse attack patterns. These AI models operate continuously, analysing behaviours and linguistic patterns across vast datasets to swiftly detect and respond to both legacy and next-generation threats. As our algorithms evolve into self- learning modes, they enhance their ability to identify novel threats in real time. Our approach to detection engineering emphasizes extraction and application over time, strengthening the security posture against advanced cyber threats.

Privacy, ethics, and compliance are treated as core design principles—not afterthoughts. We ensure that no data collected contains personally identifiable information (PII). Our sources include open-source media, honeypot-defined infrastructures, and non-PII logs. We strongly emphasize explainable AI, which is essential to maintaining transparency and trust. Every AI-generated outcome is accompanied by a clear and understandable process, ensuring visibility into how and why decisions are made. No organization can defend in isolation. The modern threat landscape requires a connected ecosystem. We partner extensively with national and international CERTs and open-source forums to share intelligence and collaborate on threat detection and response. We also work closely with regulatory and governmental bodies to align with national cybersecurity goals, particularly during international crises. Finally, trust is built through transparency, governance by design, human oversight, and measurable outcomes supported by explainable AI.