Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Doing business in Ireland in 2026 means operating in one of Europe’s most active cloud and data ecosystems and one of its most targeted cyber threat environments. As a leading hub for global technology, financial services, and data-driven enterprises, organizations across Ireland face growing pressure to strengthen their cybersecurity posture.

If you haven’t heard yet, Netwrix recently formed a dedicated in-house Security Research team on July 15, 2025. The team focuses on producing research across areas like identity, data security, AI, and cloud, while also translating publicly available research into practical improvements across our product portfolio so customers can benefit from it.

AI agents are about to cross a threshold. For infrastructure and security leaders, agentic AI is no longer an innovation topic but a production readiness problem. What started as sandboxed applications and tech demos at trade shows (bet you’ve seen a few of those) has morphed into long-running autonomous actors operating directly in production cloud and on-prem infrastructure. They read data, write code, deploy services, access databases, and make decisions continuously across environments.

When vulnerability remediation succeeds at enterprise scale, it’s very rarely because the vulnerability management team is finding more vulnerabilities. It’s because the program was built around the idea of turning messy findings into steady, measurable risk reduction. That’s not an easy task. It’s easier to make it a numbers game, pointing to vulnerability volumes and how many findings were addressed, rather than accurately depicting how much real risk was eliminated.

In this episode of Security Matters, host David Puner sits down with Ariel Pisetzky, chief information officer at CyberArk, for a candid look at the fast‑evolving intersection of AI, cybersecurity, and IT innovation. As organizations race to adopt AI, the fear of missing out is driving rapid decisions—often without enough consideration for identity, security, or long‑term impact.

Your Azure SQL database contains business-critical data that drives operations, analytics, and customer experiences. Losing this data, even temporarily, can impede revenue, damage customer relationships, and create compliance problems. Learning how to back up an Azure SQL database is essential for business continuity.

Data breaches aren’t costing thousands anymore. They’re costing companies their reputation, their customers, and in many cases, their future. And here’s the part nobody tells you until it’s too late. It’s not always ransomware. It’s not always a missing patch. It’s not always some genius hacker breaking in through a zero-day exploit. It’s simply because someone gained access to the encryption keys.

Many medical practice administrators believe their organization is protected because “we have backups.” When asked about disaster recovery, they point to the same backup system. This confusion between backup and disaster recovery creates significant risk, because backup alone cannot restore operations quickly enough when systems fail. The distinction matters because patient care depends on system availability.