Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Asymmetric Threat: Why AI API Traffic is Hard to Predict

The Asymmetric Threat: Why AI API Traffic is Hard to Predict As AI becomes more integrated into business operations, the way data moves through APIs is changing. In this clip from the A10 Networks webinar, "APIs are the Language of AI: Protecting Them is Critical," experts Jamison Utter and Carlo Alpuerto break down the concept of data asymmetry in AI.

How CEOs are turning AI investment into a competitive advantage

Artificial intelligence has moved quickly from experimentation to expectation. In many organisations, the question is no longer whether to invest, but how to turn investment into advantage that is durable, measurable, and defensible. The early wave of AI activity produced a familiar pattern: plenty of pilots, proofs of concept, and internal demos, but fewer examples of sustained value at scale. In 2025, that gap is narrowing. More leadership teams are treating AI as a core capability rather than a side project, and they are building the structures needed to capture value repeatedly, not just once.

10 AI Trends Reshaping Digital Marketing Strategies

Modern marketing is basically a result of technology, innovation, and human insight coming together. The brands that are the leaders in their industries are the ones that use the new tools extensively and, at the same time, build real relationships with their audiences. Artificial intelligence is the use that has become the main factor of this change very soon.

Configuration Drift: Why 99% of Cloud Failures Are Customer-Caused

"Gartner estimates that 99% of cloud security failures through 2025 will be the customer's fault, primarily due to misconfigurations." Don’t become part of the statistic. Take our configuration drift product tour for a spin. Consider it some light work before the weekend. Most breaches don’t stem from cloud provider failures, but from customer-side issues like misconfigurations, weak identity controls, and unmanaged change.

AI in Cybersecurity: Force Multiplier or Just More Noise? #podcast #aisecurity #aicybersecurity

Is AI actually making security teams safer—or just adding more noise? In this episode of IEN's Security Breach podcast, SafeBreach CTO Itzik Kotler joins Jeff Reinke to break down how attackers are using AI, why alert fatigue keeps getting worse, and what security teams should focus on before chasing the next “shiny object.” This conversation is a grounded take on preparation, detection engineering, and using AI intentionally—not reactively.

AI vs. Legacy Systems: Why Your Old Documentation Isn't Safe

AI vs. Legacy Systems: Why Your Old Documentation Isn’t Safe In this A10 Networks discussion, "APIs are the Language of AI: Protecting Them is Critical," security experts Jamison Utter and Carlo Alpuerto tackle one of the most overlooked threats in modern IT: the "specter in the shadow." For years, many organizations relied on "security through obscurity"—the idea that if a system is old or undocumented, it's safe from attackers. However, AI has changed the rules. These systems can now decipher legacy documentation and communicate with obscure systems faster than a human ever could.

The Architecture of Agentic Defense: Inside the Falcon Platform

The architectural divide in cybersecurity is no longer theoretical. It's operational. Adversaries are deploying AI-accelerated attacks and moving laterally across domains faster than human analysts can correlate evidence. Meanwhile, defenders are adopting AI tools that accelerate individual tasks but still operate on fragmented data and require manual correlation across disconnected systems.