Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Agentic threat intelligence is an emerging CTI model where bounded agents support repetitive investigation work, such as collection, enrichment, prioritization, and evidence packaging, while analysts retain control over takedown and escalation decisions. Vendor briefings are full of “agentic AI” right now. Most of them describe the same thing: faster dashboards and smarter alerts. That is not agentic threat intelligence.

Acronis Cyber Protect Cloud has been named a Leader in the G2 Summer 2026 Grid Report for System Security, ranking in the category. The recognition highlights Acronis’ role in helping MSPs and IT teams strengthen system protection through an integrated platform that brings together cybersecurity, backup, recovery, monitoring and management.

Artificial intelligence (AI) is transforming industries, but it also introduces new risks that organizations must manage. Effective AI risk management is a critical function within AI governance. This article explains how AI risk management fits into the broader governance framework, why it matters, and how organizations can adopt a connected, data-driven approach to reduce AI-related risks continuously.

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.

Scaling application security and attack surface monitoring inside a single enterprise is a massive headache. In June 2026, the Department for Science, Innovation and Technology (DSIT) of the UK Government joined us on stage at Infosecurity Europe to share the reality of a challenge that puts even the largest corporate hurdles into perspective.