Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every AI application relies on data. From customer conversations and healthcare records to financial transactions, organizations process enormous volumes of sensitive information every day. As AI adoption grows, so does the need to protect that data from misuse, exposure, and compliance risks. This is why understanding what privacy by design entails has become a business necessity rather than just a compliance requirement.

The browser is the operating environment for modern work — it’s where employees access email, SaaS applications, collaboration tools, HR systems, finance platforms, customer data, developer resources and AI services. All of this activity makes the browser a high-value target for attackers because it sits between users, identities, applications, and sensitive enterprise data.

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.