Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Protecto Chose SingleStore as Part of GPTGuard's Architecture

Traditional RAG creates risk. In enterprise AI, accuracy and security aren’t optional. Most vector-only databases are built for speed, but they ignore enterprise realities like security and compliance. Without context, access controls, or accurate recall, they create compliance gaps that make AI unsafe for regulated industries. At Protecto, we built GPTGuard to change that — making enterprise AI safe by preventing data leaks, enforcing privacy, and keeping compliance intact.

GitGuardian MCP Sever - Example Use Cases and Installation

In this video, learn how to set up and use GitGuardian’s new MCP (Model Context Protocol) server to bring secrets security and Non-Human Identity (NHI) governance directly into your AI-powered IDE, like Cursor or Claude Desktop. GitGuardian Developer Advocate Dwayne McDaniel shows how to install the MCP server and run real use cases—like scanning for secrets, listing incidents, and creating honeytokens—all from inside your coding environment. Ready to embed security where code is written?

The Role of AI in Endpoint Security

One can’t discuss the modern state of endpoint security without mentioning a term that has quickly become ubiquitous with security solutions: artificial intelligence (AI). With a constantly evolving threat landscape and many security challenges plaguing organizations (e.g sprawling attack surfaces, monitoring and continuity gaps, alert overload, and limited resources), it’s clear that endpoint security must evolve as well, and the most-promising advancement is AI.

Malicious Screen Connect Campaign Abuses AI-Themed Lures for Xworm Delivery

During a recent Advanced Continual Threat Hunt (ACTH) investigation, the Trustwave SpiderLabs Threat Hunt team identified a deceptive campaign that abused fake AI-themed content to lure users into executing a malicious, pre-configured ScreenConnect installer.

Securing the Future: How to Safeguard MCP and Agentic AI with Teleport and AWS

As enterprises rapidly adopt agentic AI and large language models (LLMs) to automate critical business processes and access sensitive data, the traditional security playbook is no longer sufficient. The Model Context Protocol (MCP), a new connector for AI systems like Amazon Bedrock Agents, is revolutionizing enterprise integration—but it also introduces new risks. Join us for an in-depth session exploring how to secure MCP-based AI architectures using Teleport’s Infrastructure Identity Platform and AWS. We’ll cover.

Weaponizing AI Coding Agents for Malware in the Nx Malicious Package Security Incident

On August 26–27, 2025 (UTC), eight malicious Nx and Nx Powerpack releases were pushed to npm across two version lines and were live for ~5 hours 20 minutes before removal. The attack also impacts the Nx Console VS Code extension.

Why Smart Companies Are Moving to Context-Based AI Security

AI consumes massive volumes of unstructured data — emails, documents, reports, and prompts. Hidden within them are sensitive details: customer PII, salary data, intellectual property, and confidential financial information. Without the right safeguards, one innocent prompt can lead to costly data leaks, compliance violations, and privacy risks. Traditional security tools like RBAC, DLPs, and prompt filters weren’t designed for AI. They fail because AI doesn’t see folders — it consumes raw context. That’s where Protecto’s Context-Based Access Control (CBAC) comes in.