Why Your AI Models Need a Cybersecurity Strategy

You’ve spent the time and budget to roll out a custom AI model, but is it secure?We often think of cybersecurity as protecting passwords and servers, but AI introduces entirely new risks like prompt injection and model manipulation. Shaun Cuttill, CTO of Mountain Theory, discusses the specialized world of AI Infrastructure Defense. Discover why security for your AI is no longer an afterthought and how to protect your organization's most valuable digital assets.Key TakeawaysAI Security vs. Traditional Cyber: Why your existing firewall isn't enough for LLMs.The Anatomy of an AI Attack: What it looks like when a model is compromised or manipulated.Enterprise Risk: Why small businesses and Fortune 500s alike are vulnerable to AI threats.The Trust Gap: How human behavior and "blind trust" in AI output creates a security vacuum.The 5-Year Horizon: What the world looks like if AI security remains an afterthought.Subscribe for more AI and digital transformation insights Comment your thoughts on AI's role in cybersecurity. Learn more about Chetu’s Track2AI® Framework: Follow The Track2AI Podcast on YouTube⁠⁠⁠⁠⁠⁠⁠⁠ |⁠⁠⁠⁠⁠ ⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠ |⁠⁠⁠⁠⁠ ⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠ |⁠⁠⁠⁠⁠ ⁠⁠⁠TikTok⁠⁠⁠Guest: Shaun Cuttill | Mountain TheoryHost/Producer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amber Amortegui⁠⁠⁠⁠⁠ Editor:⁠⁠⁠⁠⁠ ⁠⁠⁠Pragyan Medhi⁠⁠⁠⁠⁠⁠⁠⁠ Thumbnail: Vimlendu VimalPowered by Chetu | AI & Digital Transformation Solutions