AI Data Poisoning (The #1 Risk To Generative AI)

As attackers harness artificial intelligence to create sophisticated phishing emails, mutating malware, and deepfakes, businesses relying on outdated tools face devastating breaches, crippling financial losses, and shattered trust, all while grappling with complex solutions and limited budgets.

In 2024, Arup, a UK-based engineering group, lost $25 million in a deepfake video conference scam.

However, AI-driven cybersecurity, powered by machine learning, is also transforming the fight for the good guys, delivering real-time threat detection, scalable protection, and unmatched precision to defend against AI-powered attackers.

PurpleSec's Chief Technology Officer, Joshua Selvidge, explains how XDR addresses these challenges and how Defiance XDR™ delivers complete visibility for small businesses.

📖 Read the full article: purplesec.us/learn/ai-data-poisoning/

Tom brings more than two decades of cybersecurity expertise to this discussion. He is an expert in AI and leads the development of advanced cybersecurity strategies, enhancing data protection and compliance. As an AI strategist and mentor, Tom advocates for ethical AI integration.

Video Chapters
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00:00 - Introduction
01:31 - What Is Data Poisoning?
02:54 - Why Is Data Poisoning Is An Issue
05:25 - Examples Of Data Poisoning
08:20 - The Risk Of Data Poisoning
09:43 - The Cost Of Data Poisoning
11:59 - Why Data Poisoning Is Difficult To Detect
14:52 - Defending Against Data Poisoning
16:57 - Common Mistakes To Avoid
19:01 - Validating AI Training Data
21:07 - Best Practices For Implementing AI
22:01 - Future AI Threat Predictions

About The Experts
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Jason Firch, MBA
purplesec.us/about-us/leadership/jason-firch/

Tom Vazdar
purplesec.us/about-us/leadership/tom-vazdar/

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