Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In a multi-agent AI workflow, one agent's output becomes the next agent's input. That's the design. It's also the attack surface. Researchers have demonstrated that a single poisoned output can cascade across an entire pipeline — triggering unauthorized behavior, data exfiltration, and control flow hijacking across chained MCP processes. The attack class is called toxic flows. And every one of them passes classical zero trust checks.

At Black Hat last year, Garrett Hamilton asked Nicole Perlroth what she wanted the next five years of security to look like. She didn't give the optimistic answer. She said she was genuinely terrified. Zero-day exploitation at scale, fully automated. Attackers turning AI into infrastructure of their own. A year isn't five. But it's enough to check the tape.

Read the full report here: https://www.gitguardian.com/state-of-secrets-sprawl-report-2026

In this demo, see how A10 AI Firewall makes it easy to protect AI applications from prompt injection and other emerging threats. A10 AI Firewall inspects and enforces policies in real time — blocking unsafe prompts while allowing legitimate requests to continue uninterrupted. Explore the intuitive UI for visibility into AI transactions, threat detection, and policy decisions and reasonings.

Deployment Breakdown: Implementing the A10 AI Firewall via Hardware A10 Networks' Arjoyita Roy and Product Manager Luca Labardini discuss the hardware deployment mechanics of the A10 AI Firewall and how it protects machine learning models in real time. Deploying an inline security solution is essential for managing the flow of natural language data. Luca details the hardware approach, which leverages an Application Delivery Controller (ADC) strategically placed between your custom enterprise application and your core AI model to inspect incoming and outgoing traffic.

A new breed of worker is quietly clocking in across the United States. They’re writing code, managing your passwords, training the next generation of AI models. They’re gaining trust and access. On paper, they’re the dream hire: skilled, low maintenance, always remote, and often affordable. By most accounts, they’re doing the work. But strange things are happening.

This video will demonstrate how Arctic Wolf's Aurora Threat Intelligence enables customers to defend to against new and emerging threats through engaging content, actionable intelligence, IoC lists and automated feeds.

Many AI companies are still running at a loss while businesses rush to build critical services on top of them. If compute costs rise and margins collapse, some of those vendors may disappear without warning, taking business critical processes down with them.

This week’s briefing covers: Dive deeper.

Read the full report here: https://www.gitguardian.com/state-of-secrets-sprawl-report-2026