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How Generative AI Impacts Identity and Access Management
Explore the potential of generative AI to transform the four pillars of Identity and Access Management (IAM): authentication, authorization, administration and auditing.
Key Takeaways from NVIDIA GTC 2024
WWT attendees provide their key takeaways from NVIDIA's GTC, which showcased NVIDIA's latest innovations in AI, such as the Blackwell GPU architecture, the NIM deployment model and the AI Factory concept.
Empowering Safe AI Adoption with Palo Alto Networks' AI Access Security
Palo Alto Networks' AI Access Security offers a comprehensive solution for managing and securing generative AI applications. It provides real-time visibility, granular access controls and advanced data protection, enabling organizations to harness AI's potential while minimizing risks of data leakage and unauthorized access. Embrace AI responsibly with AI Access Security.
The Grizzled CyberVet: How Palo Alto Networks Powers End-to-End Cyber Defense
Fragmented security solutions create inefficiencies and vulnerabilities. This article explores how Palo Alto Networks' integrated platform addresses these gaps, breaking the cybersecurity kill chain at every stage. By consolidating security functions, organizations enhance threat prevention, streamline operations and reduce costs. Learn how a unified approach strengthens defenses and why proactive security is essential for business resilience.
The Quantum Computing Threat - Part 1
As we become more "any connection from anywhere" the means of secure transactions becomes even more critical.
The Grizzled CyberVet: State of Network Security
Network security has evolved rapidly, with the field now embracing zero trust, AI-driven defenses and integrated platforms. The next five years will see AI, SASE and quantum-resistant cryptography reshape the landscape. Enterprises must consolidate tools, adopt AI automation and prioritize identity-first security to stay ahead of increasingly sophisticated cyber threats. Secure your future now.
The Good, the Bad and the Ugly
Trustworthy and responsible AI is not easy. Most stakeholders can't agree on a common definition and likely have different priorities even when they do agree. However, the most pressing concern is that a majority of stakeholders, sectors and geographies do NOT have a handle on what it means to build and operate systems that won't harm humans.
Predictive AI with Palo Alto Networks
AI can be used for both enhancing and attacking cybersecurity. Learn how Palo Alto Networks is leading the way in implementing AI solutions across its product line.
The Quantum Computing Threat – Part 2
Many advancements have occurred since I last wrote about the Quantum Threat, especially around NIST PQC, IBM, Intel and Q-SENSE. Here, I share my research, what Quantum really means and real guidance for my peers and clients alike.
Leading the AI Revolution: Key Takeaways from the First Ai day
Discover the key insights from WWT's inaugural Ai day event in Dallas, where experts delved into practical AI applications, enterprise data strategies, and the balance of innovation and security in AI deployment.
AI Security: Practicing Good Model File Security
As organizations continue to incorporate AI solutions into their workflows and user toolset, the requirements for securely creating, acquiring and storing large AI model files have grown significantly. This blog post explores the risks presented by third-party AI model files and best practices to guard against those risks.
Platforms vs. Point Solutions: Perspectives from the Executive, Consultant, and Engineer
This fourth article in the 5-part series compares platforms and point solutions through the perspectives of executives, consultants and engineers. It highlights their priorities, objections and ways to overcome challenges, offering insight into how different roles contribute to finding the right balance between simplicity, flexibility and long-term cybersecurity success.