Philip Walley | The Secure Edge

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Philip Walley

Zero Trust AI Security: Securing the AI You Use and the AI You Build

Key Takeaways * Zero trust AI security requires distinct approaches for AI systems that enterprises consume versus AI systems they develop internally * Traditional perimeter-based security measures fail to protect distributed AI workloads across multi-cloud environments and third-party services * Identity-centric controls for AI models, data pipelines, and inference endpoints are becoming as

AI Security Zero Trust: Comprehensive Protection for Modern AI Architectures

Key Takeaways * Zero trust security model provides essential protection against unique AI threats, including adversarial attacks, data poisoning, and model theft that traditional security approaches cannot adequately address. * AI architectures with multiple models require granular access controls, continuous monitoring, and microsegmentation to secure data flows between components like training pipelines,

Zero Trust has failed

I was recently made aware of this article coming out of DEF CON. I havent setup a link share spot yet so you get this instead DEF CON research takes aim at ZTNA, calls it a bust | Network World "The research team found complete authentication bypasses in all tested

SASE Architecture Zero Trust Framework: Building Modern Cloud Security

As enterprises accelerate cloud adoption with 83% of workloads expected to run in the cloud by 2025, traditional perimeter-based security models are proving inadequate for protecting distributed, hybrid environments. The convergence of network and security services through a secure access service edge, combined with zero trust principles, offers a transformative

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AI and Cybersecurity: Top Benefits, Risks, and Defense Strategies

AI is transforming the field of cybersecurity by improving how threats are detected and managed. This article delves into the benefits of AI and cybersecurity, the potential risks involved, and the strategies to effectively integrate AI models into defense mechanisms through behavioral analytics. Organizations can better protect themselves against evolving

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Securing the Future: Best Practices for Generative AI Enterprise Security

Generative AI can transform enterprises, but it comes with significant security risks. This article dives into the core issues of generative AI enterprise security, exploring common threats and offering best practices to protect your organization. Key Takeaways * Generative AI systems face unique security challenges, including risks of sensitive data exposure

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VPN Is Dead: Exploring Modern Solutions for Secure Remote Access

Is the VPN dead? Traditional VPNs are increasingly seen as insufficient for today’s security needs. This article explores why VPNs are considered outdated and discusses modern, secure alternatives that provide secure, remote access for users working from various locations, ensuring they can safely access applications while maintaining optimal visibility