Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How AI-Driven Attacks Are Putting Gmail Security At Risk

Gmail has always been a common target for cybercriminals, and with the arrival of advanced AI tools, the threat level has increased significantly. Now, attackers no longer rely on generic phishing emails or scam methods. They are using AI to create convincing messages and imitate real support agents to make attacks look more genuine. This change in attack patterns has made Gmail users more vulnerable because they can’t differentiate between real and fake messages.

How Enterprise CPG Companies Can Safely Adopt LLMs Without Compromising Data Privacy

A major publicly traded CPG company wanted to adopt LLM to improve performance marketing, analytics, and customer experience. However, the IT team blocked AI usage and uploads to external AI tools as interacting with public AI models could expose sensitive brand, consumer, and financial data. This isn’t an isolated problem. It’s a pattern across enterprises: business agility collides with security requirements.

Inside the Agent Stack: Securing Azure AI Foundry-Built Agents

This blog kicks off our new series, Inside the Agent Stack, where we take you behind the scenes of today’s most widely adopted AI agent platforms and show you what it really takes to secure them. Each installment will dissect a specific platform, expose realistic attack paths, and share proven strategies that help organizations keep their AI agents safe, reliable, and compliant.

Are we on the path to AI defenders vs. AI attackers?

Swarms of AI bots are now being used to continuously test security perimeters. In this episode, Michael Baker, VP and Global CISO at DXC Technology, discusses the shift to AI-driven security operations. He recently met with startups working on agentic pentesting to find vulnerabilities before bad guys do. The advantage? You control these bots and get immediate feedback. The threat? Adversaries are building the exact same capabilities right now.

Proactively Identify and Eliminate Defensive Weaknesses with Cybersecurity Domain-Specific AI

AI is everywhere. I live in San Francisco, and a day doesn’t go by that I don’t see a billboard, an advertisement on the side of a bus, or a tech bro’s hoodie with two big letters on it: AI. It’s no different in cybersecurity marketing – AI terminology is everywhere. But too often, it’s tacked on as a buzzword – a thin layer washed on top of existing security tools, with little real impact. This makes it tricky to decipher what’s real and what’s hype.

Multimodal Attacks and Model Drift: The Future of AI Exploitation

Multimodal Attacks and Model Drift: The Future of AI Exploitation A10 security experts Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal discuss the critical vulnerabilities emerging from multimodal AI agents (systems that perceive, decide, and act) and the absolute need for security mechanisms external to the Large Language Model (LLM) itself. The experts dive into why traditional security is failing and what the next evolution of defense must look like.

AI Watermark Remover & Image to Video AI: Powerful Tools for the Visual Age

The pace of digital content creation is faster than ever, and success depends on standing out. No matter your field-marketing, design, e-commerce, or education-the demand for clear, versatile, and engaging visuals is universal. Two advancements now empower creators to meet this demand: ai watermark remover and image to video ai. Here's how these tools can transform your content, boost productivity, and unlock fresh storytelling opportunities.

The Future of Firmware in Edge Computing and Embedded AI

Here's what's happening right now: intelligence is migrating closer to the action. Your smart devices? They're not sitting around waiting for some distant cloud server to tell them what to do anymore. They're making decisions on the spot, right where the work happens. This transformation is fundamentally altering how intelligent systems get built and deployed. Consider this: the global AI in embedded systems market is heading toward US$26.2 billion by 2026.

Obscure MCP API in Comet Browser Breaches User Trust, Enabling Full Device Control via AI Browsers

SquareX released critical research exposing a hidden API in Comet that allows extensions in the AI Browser to execute local commands and gain full control over users' devices. The research reveals that Comet has implemented a MCP API (chrome.perplexity.mcp.addStdioServer) that allows its embedded extensions to execute arbitrary local commands on users' devices, capabilities that traditional browsers explicitly prohibit. Concerningly, there is limited official documentation on the MCP API.