Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Network vulnerability management is no longer a periodic security task. As networks expand across locations, vendors, and OSs, vulnerabilities can emerge quietly through configuration changes, outdated firmware, or delayed patching. Without consistent visibility and automation, teams often discover risks only after they affect availability, security, or compliance. Effective vulnerability management requires continuous awareness, structured assessment, and controlled remediation.

Most MDR providers stop at detection and escalation. Two new capabilities in BlueVoyant AI (BlueVoyant's MDR platform), Cloud Forensics and Device Forensics, extend the service into active investigation, giving analysts the tools to determine what happened during an incident rather than simply flagging that one occurred. When an incident requires traditional forensic investigation, these same tools provide a direct transition into that process.

Every day, service organizations handle sensitive customer information covered by data protection laws and subject to security compliance requirements. In the business-to-business world, customers require that their vendors provide validation and assurance over their privacy and security controls, typically asking for independent third-party attestations and reports.

Boards are investing more in data security than ever before. Analysts have declared data security posture management (DSPM) one of the fastest-growing categories in cybersecurity. And yet CISOs across industries are standing in front of dashboards filled with findings, flags, and risk scores, completely unable to move to action.

When I joined Persona's Marketplace team as the product manager in August 2025, we had around 25 integrations. Our goal was to make Persona a seamless fit in every customer's stack: easy to get started with and even easier to grow with. Less than a year later, we've tripled the size of our marketplace to include more than 75 integrations. Here's how we've approached our Marketplace strategy this year.

Enterprises today are looking to grow faster by adopting artificial intelligence. Teams are now building AI copilots, automating workflows with AI agents, and using Retrieval- Augmented Generation (RAG) to search internal knowledge bases. However, with every successful AI deployment, there is one very important question. How do you keep sensitive enterprise data from becoming a potential AI security risk?

Cloud service providers preparing for FedRAMP 20x are encountering a fundamentally different authorization model than the one their compliance programs were built around. The traditional FedRAMP path produced lengthy System Security Plans, point-in-time assessments, and human-readable narrative evidence.