Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Managed service providers (MSPs) manage multiple client environments at the same time. It’s not an easy task, as threats move quickly and alerts never stop. It poses a big challenge for human-only SOC teams to handle such huge volumes of alerts and threats. This is where AI SOC changes how security operations are conducted for MSPs. An AI SOC uses artificial intelligence to monitor activity and identify threats in real-time.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo For the last decade, the cybersecurity industry has attempted to solve a technology problem with a human solution.

Mobile security has always been complex, but LLM technology has added a whole new dimension to the field. Behind every popular generative AI (genAI) tool is a comprehensive large language model (LLM) that provides data and parses queries in natural language. When used responsibly, LLMs can be useful tools for ideation and content generation. In the wrong hands, though, LLMs can help threat actors supercharge their social engineering scams.

Sr. Technical Content Strategist Transparency is a core value for LimaCharlie. It’s reflected in our high-visibility platform, unopinionated integrations, and publicly available pricing structure. So rather than vaguely claiming AI capabilities, as many vendors do, we’ll explain how LimaCharlie facilitates agentic SecOps and why it matters to you. The Agentic SecOps Workspace is a security platform where AI doesn’t just assist operators, but operates alongside them.

In Oct 2025, a malicious code in AI agent server stole thousands of emails with just one line of code. The package, called postmark-mcp, looked completely legitimate. It worked perfectly for 15 versions. Then, on version 1.0.16, the developer slipped in a tiny change. every outgoing email now included a hidden BCC to an attacker-controlled address. By the time anyone noticed, roughly 300 organizations had been compromised. Password resets, invoices, customer data, internal correspondence.

Model Context Protocol (MCP) servers facilitate the integration of third-party services with AI applications, but these benefits come with significant risks. If a trusted MCP server is hijacked or spoofed by an attacker, it becomes a dangerous vector for prompt injection and other malicious activities. One way attackers infiltrate software supply chains is through brand impersonation, also known as typosquatting—creating malicious resources that closely resemble trusted ones.