Quantawave Cybersecurity R&D Lab develops advanced defensive technologies through research in threat intelligence, malware analysis, DFIR, SOC automation and AI-driven cyber defense.
Multi-source telemetry fusion, IOC enrichment, adversary profiling, and proactive hunting strategies to identify emerging cyber threats ahead of time.
Static and dynamic analysis pipelines, reverse engineering, YARA rule development, and sandbox-based behavioural analysis for modern threat families.
Triage, evidence collection, timeline reconstruction, and incident reporting using forensic methodologies for secure recovery.
Detection engineering, rule optimization, anomaly modeling, and automation pipelines that enhance SOC efficiency and reduce analyst workload.
Discovery and exploitation of security flaws in applications, networks, and hardware with responsible disclosure pathways.
ML-powered threat detection, anomaly scoring, adversarial analysis, and predictive defense models to automate cyber risk reduction.
Automated playbooks, response orchestration, and real-time telemetry processing to accelerate incident response workflows.
Automated open-source intelligence collection, asset discovery, breach detection, and attack surface analytics for proactive defense.
Development of zero-trust frameworks, segmentation policies, and secure infrastructure blueprints for enterprise and cloud ecosystems.
To request Cybersecurity R&D Lab access for research or collaboration, please contact the Director or fill out the access form.
Email: director@quantawavecyber.com
Phone: +91-76048 99009