Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When Agentic AI Becomes an Attack Surface: What the Ask Gordon Incident Reveals

Pillar Security’s recent analysis of Docker’s Agentic AI assistant, Ask Gordon, offers an early glimpse into the security challenges organizations will face as AI systems begin operating inside the development stack. Their researchers discovered that a single poisoned line of Docker Hub metadata caused the agent to run privileged tool calls and quietly exfiltrate internal data.

Bots vs. Barcodes: The Resource Quota Failure. #ticketmaster #bla #ratelimiting #businesslogic

The infamous Ticketmaster case highlights BLA 1: Resource Quota Violation. Attackers used bots for mass purchasing and employed ingenious evasion: they reverse-engineered the barcoding logic to rotate and authenticate tokens, bypassing security controls. The core failure? Flawed rate limiting and business logic expiration. You must protect your inventory and your purchasing flows as if they were financial assets.

Unlocking AI's Potential: Network Trends and Challenges

Artificial intelligence is no longer just an overused buzzword; it’s a fundamental shift in how businesses operate. The Architects of AI were just named as Time’s person of the year for 2025. From generative AI creating code to machine learning algorithms optimizing supply chains, the demand for AI is reshaping the technology landscape. But here’s the thing: all that computational power is useless if your data can’t move fast enough.

A CISO's Honest Take on Regulation

Cybercriminals don't care about borders. So why do we have 12 different regulatory frameworks for the same threat? Olivier Busolini, Group Head of Information Security at Mashreq Bank, voiced the frustration every global CISO feels: "In every country, I have 12 countries at Mashreq. In every country, there is a slightly different or sometimes vastly different requirement that I have to abide to.".

Vibe check your vibe code: Adding human judgment to AI-driven development

Remember when open meant visible? When a bug in open-source code left breadcrumbs you could audit? When you could trace commits, contributors, timestamps, even heated 2:13 a.m. debates on tabs versus spaces? That kind of openness created confidence in the code and made it possible to hold contributors accountable when issues arose. Today, as AI changes how code is created and shared, those familiar markers of trust and transparency are becoming harder to find.

Ensuring API Testing Meets Compliance: Policies, Performance, and Proof

APIs sit at the center of modern applications. They move data between systems, power mobile apps, and enable integrations at scale. Naturally, they are also a focal point for regulators, auditors, and attackers. Most organizations today do test their APIs. Yet many still struggle during audits. Not because testing didn’t happen, but because it wasn’t consistent, governed, or provable. Compliance frameworks don’t ask whether you ran an API scan.

Best Practices for Enterprise macOS Security: Tools, Techniques, and Detection Strategies

macOS data is increasingly targeted by hackers due to the sensitive information that Macs hold. Users require strong Mac cybersecurity measures to protect themselves from attacks. Combining Mac's built-in security features with third-party solutions provides hardened protection and continuous detection. Endpoint security for Mac best practices improve your enterprise macOS security. Implement secure configurations, effective device management, and real-time detection for advanced protection. Using a multi-protection strategy increases recovery speed and reduces the attack surface.

Asymmetric Data: The New Challenge for API Security

Asymmetric Data: The New Challenge for API Security In this A10 Networks video, "APIs are the Language of AI: Protecting Them is Critical," security experts Jamison Utter and Carlo Alpuerto discuss the unique challenges of securing AI-driven data exchanges. Unlike traditional API interactions—where a request for a video clearly results in a video—AI interactions are defined by a "phenomenal" level of asymmetry. A tiny text request can trigger a massive, unpredictable response, making traditional security prediction models nearly obsolete.