Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Before you hit “send” on Zelle, Venmo, or CashApp — pause. Most peer-to-peer payment apps work like digital cash. Once the money is sent, it’s often gone for good. No undo button. No guaranteed fraud protection. Don’t let a quick payment turn into a permanent loss.

Friends asking about your crypto posts? Bestie, you got hacked. Here's how you recover quickly.

Some apps know way more about you than you think. A quick permissions check can go a long way in keeping your personal stuff… personal. One small habit = one big privacy win.

If it’s not saved in your contacts… it can wait. Protect your peace and let your phone handle the nonsense.

Managing the risks associated with the increasing use of AI agents and co-pilots is critical for every organization. A key challenge is that AI agents draft documents and influence decisions but they operate without a true understanding of a company's rules, culture, or risk. Like humans, AI agents are susceptible to failure. Humans are socially engineered, while AI agents are prompt engineered, and AI agents may "hallucinate" when context is missing, similar to how humans guess.

The cybersecurity landscape is undergoing a paradigm shift driven by two unstoppable forces: Generative AI and Shor’s Algorithm-capable Quantum Computing. As we approach "Q-Day," the window for organizations to transition to quantum-resistant architectures is closing. Modern threat actors are no longer just using brute force; they are utilizing Quantum-AI convergence to automate vulnerability discovery and bypass legacy encryption. This session provides a roadmap for transitioning from traditional cybersecurity to a Post-Quantum Cryptography (PQC) framework.