ISSA-LA April 17 Dinner Meeting

Come and network with your friends, make new friends, and hear a great talk about Cybersecurity. A buffet dinner will be served and drinks will be available. 

Please register and pay here: https://www.eventbrite.com/e/best-practices-for-managing-data-throughout-its-lifecycle-tickets-850561872457

Topic: AI Data Life Cycles By Design

This event is designed to be an interactive session that not only provides insights into managing AI data lifecycles but also equips cyber information data professionals with the knowledge and tools to navigate the complex landscape of AI data management effectively.

A comprehensive presentation that aims to delve into the complexities and methodologies of managing AI/Machine Learning data training and intellectual property (IP) throughout the AI data, industry and platform lifecycles. Emphasis is on a proactive approach in order to give you the understanding of why it’s important to control all the events of each data lifecycle, including creation, discovery, classification, prioritization, protection, retirement and deletion events whilst always monitoring your data’s health on this journey. It can be a circular or iterative cycle and sometimes an infinity cycle of updating or sampling.

Key Takeaways from the Presentation:

Introduction to AI Data Security Lifecycle: An outline of what an AI Data Security Lifecycle entails, enabling the effective management of data, information, knowledge, and IP. It aims to shift the mindset from business risk/compliance to a proactive “by design” duty of care approach.

Complexity of AI-Driven Data Security Lifecycles: The complexity of AI-driven or accelerated data security lifecycles is one of the most challenging areas in technology today. It necessitates a shift from traditional risk/compliance mindsets to proactive, design-focused strategies.

Rapid SME Assistant Training Using Taxonomies: How to use enterprise, personal, and product taxonomies of data to rapidly train or manufacture Subject Matter Expert (SME) assistants. These include specialized mirror-me’s, mini-mind-me’s, and agents leveraging an individual’s expertise, history, knowledge, resume, experience, project work products, and their outcomes.

Control Plane & Data Plane Separation with LLM Pipelines: Insights on implementing control plane & data plane separation using Large Language Model (LLM) pipelines will be provided.

Addressing the Cyber Defenders Dilemma: Solutions to the cyber defenders dilemma of needing to be always right to catch every attack. It showcases the effectiveness of AI copilots multiplied by the Data Security Lifecycle for currency.

Strategic Guidance Against Cyber Attackers: How applying data lifecycle thinking can offer strategic guidance to ensure businesses remain cost-effective and proactive against sophisticated cyber attackers who aim to deny access, exfiltrate, or unknowingly modify critical data.

Equipping Organizations Against Data Breaches: How to equip organizations with the necessary tools and knowledge to effectively protect against data breaches.

Government and Commercial Enterprise Data Management: How governments have developed specialized tools, practices, and methodologies (data products such as fabrics) to handle vast amounts of data and extreme security issues, which are now essential for commercial enterprises in the era of AI big data pipelines.

Speaker: Andrew Robinson

Andrew Robinson, CEO & Founder, qdCloud Inc., has focused his career on obtaining expertise in technology strategy, roadmaps, architecture, platforms, and data product development. As a Senior Consultant for Boeing, Ingram Micro, DirecTV, AT&T and Canadian government agencies he designed security frameworks, cloud services, disaster recovery plans, standards for security frameworks and data centers, with a focus on large-scale, secure, efficient IT infrastructure for cloud and IoT. He holds a B. Eng. Computer Systems. Before moving to Los Angeles, he was an accomplished sailplane (glider) pilot, and instructor.