Modern Application Delivery Requires Unified Management & Flexible Licensing

Modern Application Delivery Requires Unified Management & Flexible Licensing Jamison Utter and Priyanka Mullan, Senior Product Marketing Manager at A10 Networks, discuss the fundamental infrastructure that powers today's modern applications. While technologies like AI and APIs often steal the spotlight, the true backbone of high-performing digital services lies in robust Application Delivery Controllers (ADCs).

Everyone Is Deploying AI Agents. Almost Nobody Knows What They're Doing.

One constant I hear from CISOs I speak with is that AI agents are not coming. They are already inside organizations, reasoning through goals, selecting tools, and taking action through the same APIs that connect your most sensitive systems. And most security teams have no idea what those agents are doing.

What Is Format-Preserving Encryption (FPE)?

Your database stores a credit card number: 4532 1234 5678 9010. You encrypt it for security. Now it looks like this: %Xk92@!mQz#Lp&7. Problem. Your payment system can’t process that. It expects a 16-digit number. Your billing software breaks. Your downstream analytics fail. Your whole pipeline comes to a halt. This is the exact problem that format-preserving encryption was built to solve.

Secure Enterprise AI Apps and Agents: Visibility, Governance, Runtime Protection

When you deploy an AI application, do you know what's being sent into it — or what's coming back out? Cato AI Security provides runtime protection for the AI applications your organization builds and deploys, with real-time enforcement, sensitive data anonymization, and a complete audit trail across every interaction. Learn more or request a demo at catonetworks.com.

AI Guardrails: The Layer Between Your Model and a Mistake

An AI guardrail failure doesn’t come with a warning. One minute, a response goes out. Next minute, it’s a screenshot in the wrong hands, and the question isn’t how it happened. It’s why nobody had defined what the model was allowed to do in the first place. Most teams never asked what the model was actually permitted to do. Deployment happens fast. AI data privacy and leakage prevention aren’t configuration tasks.

Ep. 50 - Inside Trump's 2026 Cyber Strategy: Why "Check-the-Box Security" Is Dead

The U.S. just made its boldest cybersecurity move in decades. In this episode of the Cyber Resilience Brief, we break down President Trump’s 2026 Cyber Strategy—and why it signals a massive shift from reactive defense to proactive, offensive cybersecurity. What does this mean for CISOs, security leaders, and the private sector? We unpack the strategy’s most critical pillars, including: This isn’t regulation—it’s a call to action. And for organizations that fail to continuously validate their defenses, the risks have never been higher.

Baking accessibility into our product foundation

TL;DR: Building for everyone, faster. We’re moving from the why to the how. To scale accessibility without losing speed, we’ve overhauled our foundation: In our previous post, we explored why accessibility is a non-negotiable for modern cybersecurity. But moving from philosophy to practice required a fundamental shift in our toolkit.

AI Security Best Practices: The Complete Guide

Artificial intelligence has moved from pilot project to core enterprise infrastructure faster than most security programs can adapt. AI is automating workflows, surfacing insights from complex datasets, and changing how work gets done across every function. But with that acceleration comes a new and expanding attack surface that most organizations are only beginning to understand.

Synthetic Data for AI: 5 Reasons It Fails in Production

Synthetic data for AI development has become the default shortcut for most engineering teams. It’s fast, sidesteps privacy headaches, and lets you move without touching production. I get why teams default to it. But there’s a problem: synthetic data for AI routinely breaks down the moment your system hits real-world enterprise data. The system demos great. It passes every internal test. Then it lands in production and falls apart in ways you didn’t see coming.