Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A real intrusion, captured in full, shows why trust cannot live inside the model that does the work.

For Managed Security Service Providers (MSSPs), managing cybersecurity programs across multiple client environments can be a daunting task. Context-switching between isolated client accounts, enforcing access policies at scale and ensuring that no vulnerability in one environment affects another demonstrates the ongoing challenges of multi-tenant security.

Many decisions that move AEC projects forward live in email. Now they live in your project folder too.

The first time an MCP (Model Context Protocol) server felt real to me, it wasn't because of a clean demo. It was because of the noise. TL;DR: The harness matters more than the protocol, and the evidence matters more than both. MCP earns its keep when it shortens the path from a good security question to trustworthy evidence, and almost everything interesting about making that work happens in the harness wrapped around the model. In this series, I will cover how to build an MCP for an AI SOC.

If your phone has not stopped buzzing for twenty minutes, you may be facing a synchronized disruption tactic called a “bombing” attack. In the 2026 cybersecurity landscape, flooding an endpoint with many requests is not just a nuisance. A weaponized operational strategy. Whether an SMS bomber script targets a person or bot networks drive up a business’s API bills, the exploit works the same way.

Zero-Shot Learning is a podcast about how AI gets built, secured, and deployed. Hosted by Nancy Wang, 1Password CTO, and Dev Tagare, Senior Director of Engineering at Google, it’s a builder’s view of the architecture and the decisions it takes to ship with AI.

At 2 a.m., an alert queue full of raw Windows events, firewall logs, and duplicate detections stops being a tooling problem and becomes an operations problem. The team does not need another dashboard. It needs a SIEM that can ingest the right data, normalize it, correlate it well enough to surface real incidents, and stay maintainable after the initial rollout.

Remember when "social media safety" meant advising employees not to post pictures of their security badges or laptop screens? Back then, corporate risk and personal scrolling felt like two entirely separate worlds. Today, that boundary has completely dissolved. Social media has become a primary staging ground for sophisticated social engineering attacks targeting your workforce, and their families.

Generative AI has gone mainstream, and your customers are already using it, whether IT knows it or not. Employees are turning to AI assistants to write emails, summarize documents, generate code, analyze spreadsheets, and speed up everyday work. Most are simply trying to be more productive. The problem?

Explore cloud security lessons from IEEE Cloud Summit 2026, including agentic AI risks, over-permissioned identities, Kubernetes policy, and forensics.