Abstract:
This panel will focus on big data and advanced analytics strategy for security and privacy in modern enterprises. This will include threat hunting, threat detection, security intelligence acquisition and analysis, streamlining of the SOC, and data redaction. With exponentially increasing data volumes, threat actors and attacks becoming more and more sophisticated, and zero-day attacks on the rise, it is critical that we leverage advances in big data, edge computing, machine learning, and behavioural analytics on massive data streams to ensure proactive security and privacy for businesses and their customers. The panel will also discuss cybersecurity and privacy in the light of the regulatory landscape and various cybersecurity frameworks, and what that translates to in terms of technology and stakeholder requirements.

What You’ll Learn:
– Application of big data and machine learning to smart data redaction
– Threat landscape looks for small medium businesses and large corporations and security and privacy challenges to these business entities
– Leveraging big data and lakehouse architecture for building a scalable SOC
-Challenges of applying big data and machine learning to security and privacy and future research directions in the area
-Various functions in the security and privacy landscape including threat hunting, threat detection, threat intelligence, security orchestration and response, and data loss prevention

As Senior Director of research and development, Janahan is currently responsible for the security intelligence and security analytics mandates at Arctic Wolf Networks.
Prior to Arctic Wolf, Janahan has held senior roles in both start-ups and enterprise organizations including Motorola, GE, and Telus, and has led global engineering teams with a career track record of designing and developing innovative systems and products for a number of industry firsts. Janahan also works with partners in government, academia and industry to lead and advise programs in security to meet national and industry security requirements. His areas of interest and focus include advanced analytics (machine learning, deep learning, AI), software engineering, Big Data, Data Lakes, cloud computing/infrastructure, network infrastructure, mobility, IoT, telecommunications, IT, SCADA, SmartGrid, automation, and cybersecurity applicability across those areas for diverse industries and sectors.

Monzy Merza serves as the Vice President of Cybersecurity Go-to-market at Databricks, Inc. He is responsible for driving Databricks cybersecurity business strategy. Along his 20+ years of experience, he has held technical and business leadership roles. A former researcher and security practitioner, Merza has advised and contributed to strategic security programs in Fortune 500 and in government organizations.

Patricia Thaine is the Co-Founder and CEO of Private AI, a Computer Science PhD Candidate at the University of Toronto, and a Postgraduate Affiliate at the Vector Institute doing research on privacy-preserving natural language processing, with a focus on applied cryptography. She also does research on computational methods for lost language decipherment. Patricia is a recipient of the NSERC Postgraduate Scholarship, the RBC Graduate Fellowship, the Beatrice “Trixie” Worsley Graduate Scholarship in Computer Science, and the Ontario Graduate Scholarship. She has eight years of research and software development experience, including at the McGill Language Development Lab, the University of Toronto’s Computational Linguistics Lab, the University of Toronto’s Department of Linguistics, and the Public Health Agency of Canada.

Hassan Khan is an Assistant Professor at the University of Guelph. He conducts research in Computer Security and Computer Systems domains, and he has published at prestigious venues including ACM MobiCom, ACM MobiSys, ACM CCS, and USENIX Security. Some of his research work has been featured by MSNBC, Bruce Schneier’s blog, Time Magazine’s Techland, The Globe and Mail, CBC, and the New Scientist magazine. His non-academic ventures include his industrial work as the Co-founder and Technical Lead at xFlow Research, where he led the development of software defined networking solutions for Marvell Technology, Netgear, Dell, and Cavium Networks. He is also a Co-founder of Penfield.AI, which is the first human-machine intelligence platform for security operations.