Hispanotech is proud to invite you to Applying Artificial Intelligence & Machine Learning in Cybersecurity.

As threat actors innovate, so do the defenders. Security Analytics has evolved substantially and today it is difficult to find the signal in the noise of everyone’s Machine Learning claims. Despite the hype, the data science of machine learning can be useful to us in the larger analytics pipeline. You should not have to be a data scientist to join this conversation or to find the real value within a vendor’s product or service. This presentation aims to debunk the hype and offer you a way to find the real value in the use of Machine Learning within your security analytics strategy.

Join us for an evening full of insights, networking, refreshments, and thought-provoking discussions with industry leaders.

 

KEYNOTE SPEAKER

Applying Artificial Intelligence & Machine Learning in Cybersecurity

TK Keanini

Distinguished Engineer & Product Line CTO for Analytics – Cisco Systems

Applying Artificial Intelligence & Machine Learning in Cybersecurity

TK Keanini brings more than 25 years of network and security experience to his role as Distinguished Engineer within Cisco’s Security Business Group, where he uses his expertise in analytics to build a unified security architecture that enables customers to adapt and respond to ever-evolving threats.

Prior to joining Cisco, TK served as CTO for Lancope where he and his team built the award-winning Stealthwatch™ product line. Before joining Lancope, he was CTO at nCircle, driving product innovation that defined the vulnerability management and configuration compliance market.

TK is a founding member of many security standards such as CVE and remains active in standard bodies that promote multi-vendor interoperability. As a highly regarded industry expert, his opinions and expertise have been featured in publications including Information Week, Federal Computer Week, Forbes, CNET News, and CIO. TK is a frequent speaker at industry forums such as the RSA Conference, SANS Network Security, Security B-Sides, GFIRST, and IT Security Automation Conference.

PANELISTS

Applying Artificial Intelligence & Machine Learning in Cybersecurity

Iain Paterson

Managing Director

Applying Artificial Intelligence & Machine Learning in Cybersecurity

Iain is a Cyber Security veteran with more than 15 years of experience in Information Security. He has designed and run security operations programs in large Banking, Healthcare, and Government organizations. His experience as a practitioner brings a critical understanding of the needs and challenges of organizations to Cycura’s consulting practice.

As Managing Director of Cycura’s professional services group, Iain acts as project executive on Offensive Security and Incident response initiatives. Leading a team of forensic investigators and security researchers, Iain bridges the critical gap between technologists and senior leadership in the organizations he works with.

Having worked on both sides of many major incidents, a practitioner and consultant, Iain brings a balanced and pragmatic view to organizational response to data breaches.
Iain holds information security designations from ISC2, SABSA, and ISACA and an MBA from Athabasca University in Alberta, Canada.

 

Applying Artificial Intelligence & Machine Learning in Cybersecurity

Iman Abudagga

Data & Artificial Intelligence Product Lead | Cloud & Enterprise (C+E)

Applying Artificial Intelligence & Machine Learning in Cybersecurity

Iman is currently the Data and Artificial Intelligence product lead at Microsoft Canada. She is an Artificial Intelligence enthusiast; passionate towards leveraging technology and making a positive impact on today’s society and generations to come.

Throughout the years, Iman has led several large-scale business programs aimed at building relationships and driving business with individuals and organizations in the world of Cloud, Data, and now Artificial Intelligence. Much of her success can be attributed to her understanding of Microsoft’s business solutions, unique value proposition, and her ‘customer-first’ mindset. Iman has many years of International experience in the ‘Cloud and Hosting’ business and has been recognized as a Cloud expert in the Gulf region.

As a lifelong and avid learner, Iman has completed her Masters in International Business Management and a Bachelor’s Degree in Computer Engineering with a major in Software Development.

 

Applying Artificial Intelligence & Machine Learning in Cybersecurity

Julean Albidone

AI Product Owner

Applying Artificial Intelligence & Machine Learning in Cybersecurity

Julean is the Co-Lead for Deloitte’s Applied Innovation Practice. Julean was hired to build the Applied Innovation Practice from the ground up and ensure its success. The Practice merges numerous emerging technologies to build solutions for clients, including AI, chatbots, the blockchain, and others.

Julean currently sits on CPA Canada’s Innovation Committee and is the Owner of a Private Investment Services Firm. Julean was previously a management consultant at PwC, where he advised numerous companies and executives on a variety of topics, including AI, Capital Markets, Credit Risk Modelling, and Wealth/Asset Management.

 

Applying Artificial Intelligence & Machine Learning in Cybersecurity

Eduardo Delgado

Associate Vice President – ORM Enterprise Technology & Cybersecurity

Applying Artificial Intelligence & Machine Learning in Cybersecurity

Responsible for providing strategic direction for the execution of the ORM Cybersecurity risk 2nd line oversight program. Led a team of cybersecurity professionals to provide the effective challenge to enterprise-wide cybersecurity initiatives, risk management activities, and operational processes. Worked with the 1st line of defense to build consensus and provide senior executives with the right information to make fully informed risk-based decisions.

 

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Applying Artificial Intelligence & Machine Learning in Cybersecurity