Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

There is a version of security debt management that lives in a JIRA board. Tickets get filed, SLAs get set, and engineers work through the queue when they have capacity. It looks like a system. It functions like a pressure release valve — just enough motion to feel like progress, while the backlog quietly grows. That version is no longer adequate.

Every time an employee joins your company, they need access to multiple systems. You can create accounts across 20+ different systems manually, which is time-consuming and error-prone. Or you can automate the entire user lifecycle with SCIM provisioning solution. Your admin team can save hours every week as accounts will be created, updated, and removed consistently. In this guide, you’ll understand what SCIM provisioning is, what its benefits are, and how you can implement it.

Every login creates a moment of trust. The problem is that moment rarely lasts, yet most security systems assume it does. Traditional authentication verifies identity once, at the point of login, and then steps back. From that moment until logout, the session is treated as trustworthy. No re-checks. No re-verification. That assumption is increasingly dangerous. Modern threat actors do not always break in. They walk in.

AI governance platforms provide enterprises with centralized oversight to manage AI risks, ensure regulatory compliance, and automate policy enforcement across the AI lifecycle. Leading solutions include security-oriented tools like Mend.io, HiddenLayer, and Prompt Security, as well as end-to-end governance platforms like IBM watsonx.governance and Microsoft Purview.

The concept of AI might trigger both excitement and stress for those who spend all their time either using it for efficiency or fighting it as it tries to breach their systems. A massive force of non-human identities that have been summoned to expose the tiniest cracks in an organization’s security is enough to overwhelm any IT team. However savvy, modern security professionals have begun to raise their own versions of AI armies – designed to stop those sent by malicious actors.

Kovrr's cyber risk quantification (CRQ) models are built on a continuously updated database of real-world cyber events, drawing on regulatory disclosures, company filings, legal reports, and proprietary insurance claim intelligence to produce financial exposure estimates grounded in how incidents actually unfold. That intelligence foundation has always informed everything the platform produces, from frequency and severity calculations to the event catalogs that drive each organization's quantification.