Spotlighting what it’s like at the forefront of the internet for Women in Tech! Life at Cloudflare moves FAST. Cloudflare Radar helps experts stay ahead with data clarity for every country.
Running a company involves many moving parts. Keeping the finances safe is a full-time job for any owner. Thieves often look for weak spots in your books to take what you have built. Professional eyes help spot trouble before it grows into a crisis. You can keep your profits safe with the right systems in place. Modern tools make this task much easier for everyone involved in the daily operations.
This demo showcases how Netskope helps you achieve Universal Zero Trust Network Access (UZTNA). UZTNA is a unified security architecture that replaces fragmented VPN and NAC by applying consistent, context-driven Zero Trust access policies to all users and devices—whether they are connecting locally or through the cloud.
A non technical user can produce a credible deepfake in under an hour using off the shelf tools and footage from normal video meetings. Common habits such as recording calls for later review give attackers enough material to train models, so every routine sales or onboarding call becomes potential training data. ⸻ For more information about us or if you have any questions you would like us to discuss email podcast@razorthorn.com. We give our clients a personalised, integrated approach to information security, driven by our belief in quality and discretion..
Positive feedback can lead to unintended consequences. A dog learned that saving kids from the River Seine earned food and praise. So he started dragging them in to “save” them. AI models optimize for feedback in a similar way. Cato’s AI in Cybersecurity course shows how to manage the risks. It’s free and earns you CPE credits.
This week’s McKinsey incident should be a wake-up call for every enterprise moving fast to deploy AI. Not because AI itself is inherently insecure. But because too many organizations are still thinking about AI security at the model layer, while the real enterprise risk sits in the action layer: the APIs, MCP servers, internal services, and shadow integrations that AI agents can reach, invoke, and manipulate. That is the part most companies still do not see.
One recurring theme in my research and writing on agentic AI security has been the distinction between soft guardrails and hard boundaries. As someone who serves on the Distinguished Review Board for the OWASP Agentic Top 10, and who spends every day thinking about how to secure agents across enterprise environments at Zenity, this distinction is not academic. It is potentially the single most important conceptual framework practitioners need to internalize right now.
How are governments using AI while protecting citizens’ data and privacy? In this episode of AI on the Edge, Ciara Maerowitz, Chief Privacy Officer for the City of Phoenix, explains how cities implement AI governance, manage bias, ensure transparency, and assess AI risks. Learn how responsible AI frameworks, policies, and risk management help governments safely adopt artificial intelligence.
Across the Webex link is the 3PAO team sent to pass judgment on your adherence with FedRAMP 20x. Like all auditors, they're diligent, professional, and particularly unnerving when they’re trying to be disarming. It’s the first interview where you explain what the product does.
Security leaders are being squeezed from both sides. On one side, threat actors are scaling operations with AI automation, using it to craft more convincing social engineering attacks, accelerating reconnaissance, and improving lateral movement. On the other side, defenders are drowning in telemetry, suffering under staffing constraints, and facing the harsh reality that threat actors don’t keep business hours.