Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Mobile devices have become one of the most dynamic, and most exposed, parts of the modern attack surface. They access sensitive data, connect to untrusted networks, and rely heavily on third-party applications. Yet in many organizations, mobile security still lags behind traditional endpoint protection. Mobile device management (MDM) solutions help enforce configuration and compliance, but they were never designed to detect and respond to modern threats.

Endpoint attacks rarely appear in a single alert. Instead, they surface as a sequence of signals that require rapid investigation and response. For many teams, the challenge is not detection. It is having the time and expertise to investigate, validate, and then act. Arctic Wolf Aurora Managed Endpoint Defense addresses this by combining endpoint detection and response with expert Arctic Wolf analysts who take on the operational burden.

A customer support agent needs a payment reference, a token or transaction ID, to issue a refund. A summarization agent reading the same ticket needs none of it. A billing agent needs only the last four digits to match a transaction. A fraud agent needs the full credit card number, but only when a case is open and only for the account it is reviewing. Traditional DLP sees one thing across all four: sensitive data, a 16-digit string that matches a card pattern. It makes one choice: block, redact, or allow.

The Digital Operational Resilience Act is active. Yet most financial entities are still navigating significant implementation challenges. Here is what they are — and how to overcome each one.

Most AI governance programs assume they know what they're governing. They track which AI tools employees use through browser proxies and SSO logs, block access to unauthorized platforms, and monitor data leaving through known egress channels. Shadow agents break every one of those assumptions. Agents run locally, act autonomously, and access data through pathways the tools monitoring your environment were never built to see, creating a new, and difficult to govern, attack surface.

One of the biggest changes to the FedRAMP program in the history of the program itself is in progress, and it's going to change a lot of things for a lot of people. When the dust settles, it should be a net benefit across the board, but in the meantime, it's going to cause a lot of confusion. Here at Ignyte, we've been doing a lot to get ready, both as a service provider and as a 3PAO. We've been keeping tabs on what you need to know, and we'll do our best to help you navigate the changes as they occur.

AI agents querying databases pose well-documented risks. What gets less attention is the fact that PostgreSQL has no native concept of an agent as a distinct actor. This means DBAs are managing access for something that appears in pg_stat_activity like any other role created with CREATE ROLE, with no distinguishing attributes and no indication of who or what initiated the connection. AI agents have no distinct identity when interacting with PostgreSQL.

Unknown block type "undefined", specify a component for it in the `components.types` option The World Cup is here. 2026. US, Mexico, Canada. If you’ve ever stood in a stadium during a knockout match, or watched one with people who actually care, you know there’s nothing quite like it. You’re watching 22 players make split-second decisions in real time, knowing the whole thing can turn on one moment you didn’t see coming. As you can probably tell, I’m a fan.