Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Choosing a privileged access management (PAM) solution isn’t just a technical decision — it’s a strategic one. Selecting the right PAM platform is essential for securing your IT infrastructure, ensuring audit readiness, and minimizing business risks. But with so many tools claiming to offer comprehensive protection, how do you separate the truly effective ones from the rest? This article breaks down the nine most important factors to consider when choosing a PAM solution.

In today’s digital environments, where cloud infrastructure, remote work, and third-party tools are the norm, the number of ways attackers can reach your systems are infinite. These potential entry points make up your attack surface. Understanding it is the first step toward defending it. As companies adopt more cloud services, mobile endpoints, and third-party apps, attack surfaces continue to grow — making visibility and management more critical than ever.

Telecommunication providers are rapidly embracing technologies like 5G, edge computing, Open RAN, and AI-driven automation. Yet, as innovation accelerates, data protection remains a crucial concern. The adoption of cloud-native architectures—especially Kubernetes—demands modern solutions that ensure data resilience, scalability, and operational continuity.

Kubernetes disasters require precision recovery solutions, not full system restorations that waste valuable time. Granular recovery technology allows IT teams to extract and restore specific files, objects, or application components from backups while leaving everything else intact. Taking a targeted approach reduces downtime from hours to minutes for organizations running critical workloads on Kubernetes and OpenShift platforms.

Authors: Tova Dvorin, Senior Product Marketing Manager | Adrian Culley, Senior Sales Engineer You’ve implemented Zero Trust. You’ve rolled out segmentation, multi-factor authentication (MFA), and policy enforcement. Your dashboards are full. But when the Board asks: —you hesitate. You’re not alone.

Modern enterprises are facing an identity explosion. Fueled by cloud adoption, DevOps acceleration, and now agentic AI, the number of human and machine identities is growing faster than most organizations can manage. According to the CyberArk 2025 Identity Security Landscape, 9 out of 10 organizations report a successful identity-centric breach, with relentless and sophisticated bad actors continuing to target identities. Machine identities now outnumber human identities by an astonishing 82:1.

On a sunny summer vacation day, your childhood self is running around a playground looking everywhere for a small piece of paper as part of a treasure hunt. Each clue you find leads to another, then another, until you finally locate the hidden treasure. Investigating a security incident is similar to this process, but instead of clues written on paper, your clues are digital artifacts that attackers left in your systems. These digital artifacts are called indicators of compromise (IoCs).

I’ve seen this story before, and I’m seeing it again. When we founded Salt Security in 2016, APIs already powered the digital economy, Kubernetes started to accelerate the growth of APIs, yet almost nobody was monitoring them. Visibility was near zero, context was missing, and protection was an afterthought. Fast-forward to 2025, and the same blind spot is forming, only bigger. AI agents are no longer just generating content; they are also creating it.

GIFTEDCROOK evolves into an intelligence gathering tool, a new report reveals a rise in sophisticated threats during H1 2025, and Jasper Sleet uses remote IT workers to infiltrate organizations.

Most financial sites don’t think twice about WAFs until a bot army drains their API or a misstep leaks trading data. That’s when panic sets in and puts the target service in the eye of a perfect storm. That’s why WAFs aren’t optional anymore; they’re your digital insurance policy. This piece will break down real-world threats like credential stuffing and parameter abuse that cripple fintech APIs, and show how top-tier WAFs block them without throttling speed.