Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

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.

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.

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.

The goalkeeper is the only player on the pitch whose mistake immediately costs a goal. No recovery time. No second chance. That’s what makes credential security different from every other control. When it fails, the game is already over. Every other layer in your stack has someone behind it. Endpoint controls, network segmentation, privilege management, and policy enforcement are all players doing a job, each one backed up by another. Credentials aren’t like that. They sit behind all of it.

This is the second post in a series that follows 1Password’s response to NIST’s call for input on how those principles should apply to agents. In our last post on agent identity, we introduced why the ability to reason makes agents fundamentally different from traditional machine workloads, why it breaks the assumptions traditional identity and access management was built on, and why real-time attestation establishes agent identity at runtime.