Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data Security Posture Management (DSPM) delivers a data-first approach to security by discovering, classifying, and continuously monitoring sensitive data across your hybrid IT environment. This blog outlines how DSPM integrates into every layer of your modern security architecture, from IAM and DLP to SIEM/SOAR and DevSecOps. When paired with Netwrix solutions, DSPM becomes a proactive engine for reducing security risks, tightening compliance, and preventing unauthorized access and costly data breaches.

Choosing the right data security platform is essential for modern organizations. This blog walks through critical capabilities to look for, including data discovery, real-time risk management, access governance, and integration with IAM, DLP, CSPM, and SIEM tools. With Netwrix, organizations gain a unified platform to protect sensitive data, improve compliance, and reduce risk across on-premises and cloud environments.

A Security Posture Assessment (SPA) provides a holistic evaluation of an organization’s cybersecurity readiness. It identifies vulnerabilities, evaluates compliance, and recommends actionable improvements across systems, users, policies, and tools. Netwrix solutions like DSPM help strengthen defenses, maintain compliance, and reduce the risk of data breaches.

Recruitment scams—also known as job fraud—are a rising form of cybercrime that targets jobseekers with fake employment opportunities designed to steal personal information or money. Scammers often impersonate legitimate employers or recruitment agents, tricking victims into sharing sensitive data, paying unnecessary fees, or completing unpaid tasks under the pretense of a real hiring process.

The AI revolution is here, and it’s running on Kubernetes. From fraud detection systems to generative AI platforms, AI-powered applications are no longer experimental projects; they’re mission-critical infrastructure. But with great power comes great responsibility, and for Kubernetes platform teams, that means rethinking security.

As one of the most prestigious Ivy League institutions, Columbia University has centered on offering transformative educational experiences combining liberal arts training with the resources of a world-class research university. Its goal is to prepare students to become civic-minded leaders and lifelong learners. It was established in 1754 as King’s College following a royal charter under King George II, which made it the fifth-oldest institution of higher learning in the United States.

When new security research hits the headlines, it often sparks a predictable wave of worry: should we turn off features we rely on? Should we rethink basic workflows? That’s exactly the case with recent findings that highlight how clickjacking techniques can exploit password manager autofill behavior.

If shadow IT was the SaaS era’s guilty pleasure, shadow AIT is GenAI’s sugar rush: unsanctioned AI models, tools, and autonomous agents quietly wired into business workflows—often without approvals, logging, or controls. It’s fast, it’s useful, and it can bite.

Artificial Intelligence (AI) is transforming cybersecurity, but not always for the better. While organisations adopt AI to strengthen their defences, cybercriminals and nation-state actors are exploiting the same tools to launch faster, more sophisticated, and harder-to-detect attacks. From AI-powered phishing and malware evasion to deepfake-enabled fraud, adversarial AI is no longer a future risk, it’s a present-day reality.

Every IT team is under pressure to “do more with AI.” A new tool promises smarter workflows, a new agent claims to replace manual tasks. But if you’re managing service requests, availability SLAs, patch cycles, infrastructure capacity, and application performance every day, you know the truth: AI doesn’t automatically reduce complexity on its own.