Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Active Directory (AD) officially reaches its quarter-century this year, after its late-1990s preview and full release with Windows Server 2000. That’s over 25 years of providing administrators with tools to manage permissions, endpoints and access for network-based resources and objects. In that time, it’s grown to become the choice of around 90% of the Global Fortune 1000s.

In a recent social-engineering attack targeting the hospitality sector observed by the ThreatSpike team, there appears to be a change in the tactics employed by the threat actor. The hospitality sector, where top-notch customer-service is expected, customer-facing employees are often lucrative targets for phishing, as detailed in our previous blog post.

Securing PCI and PII data is at the core of what we do at Protegrity. You can try out Protegrity’s capabilities today, through our API Playground. This section walks you through some sample scenarios of de-identifying PCI data, so that it is removed from your environment and only reversed once it leaves it. To run this example, you have to be signed up to the Protegrity API Playground.

The term “Agentic AI” has recently gained significant attention. Agentic systems are set to fulfill the promise of Generative AI—revolutionizing our lives in unprecedented ways.

The digital landscape continues to undergo dramatic transformations. Long gone are the days when software, servers and infrastructure were monolithic and centralized. Today, organizations operate in a distributed and modular world, where machine identities are everywhere and environments are in various states of flux. AI and agentic AI are already starting to expand the volume and complexity of machine identities.

Cooperation is the key to success, and working with third parties helps your organization increase efficiency, offer better products and services, employ highly qualified experts, and cut costs. However, all these benefits come at the price of additional cybersecurity risks. Even minor flaws in your third-party vendor’s security and privacy routines may lead to serious cybersecurity breaches in your organization.

The amount of data worldwide is growing rapidly. According to the experts, in 2024, there was a significant 791.94% increase in data generation. There are mainly two types of data: structured and unstructured data. Both are used, maintained, and analyzed differently. But what is the basis of differentiation, and how can one find out which one is the best. In this blog, you will find out the pros and cons and use cases. So let’s begin!!

As organizations increasingly depend on SaaS applications, IT teams struggle with visibility and governance. Shadow IT, unmanaged devices, and limited monitoring capabilities create blind spots, exposing enterprises to compliance violations, data exfiltration, and insider threats. Risks don’t come only from unsanctioned applications: even widely used SaaS platforms can become a security liability when not properly controlled.

Jira sandboxes provide strategic leverage for the development lifecycle. Unfortunately for IT teams, migrating them to production environments is rarely straightforward. That means backups should be immediately pointed out as a vital part of the process. A smooth migration means tested changes in the sandbox are moved to the live system without errors. This makes the platform stable and minimizes potential problems.