Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI accelerates detection, but human analysts deliver context, judgement and strategic insight. In modern cybersecurity, the real advantage lies in combining both.

CyberArk founder and executive chairman Udi Mokady returns to Security Matters at a transformational moment—now as part of Palo Alto Networks, following the acquisition’s close on February 11. In this far‑reaching conversation, Udi and host David Puner explore why identity has become the attack vector for modern enterprises, driven by an unprecedented surge in human, machine and AI‑powered identities that attackers increasingly exploit.

We’re excited to share that Feroot has been named one of G2’s Best Software Products of the Year for 2026 in the Data Privacy category. This recognition is especially meaningful because it’s based on direct customer feedback. G2’s awards are powered by real-world reviews and outcomes, and we’re honored that customers chose to share their experience with Feroot. Even more humbling: our customers have given us an average rating of 4.9 out of 5 stars.

Access control defines who can access data and systems across an IT environment and under what conditions. Common models include DAC, MAC, RBAC, and ABAC, each supporting different governance and risk requirements. Strong access control depends on MFA, least-privilege enforcement, continuous audits, and clear visibility into sensitive data.

Across Europe and beyond, regulatory frameworks are reshaping how and where organizations manage data. These laws establish enforceable standards for data sovereignty, data governance, and data privacy that directly influence cloud architecture, security strategy, and AI innovation. Without these regulations, you run the risk of these organizational consequences: Data management shouldn’t be considered as only a task for IT. It’s a board-level priority.

Most people don’t manage their personal finances by spending every dollar the same way. You don’t pay rent, groceries, retirement savings, and entertainment out of one undifferentiated bucket. You allocate intentionally covering daily necessities, protecting the future, and investing in things that improve quality of life. Yet that’s exactly how traditional SIEM pricing works. Every log costs the same. Every gigabyte is treated equally.

Security operations have never been more complex. Analysts face more alerts, more tools, and more pressure to make the right decision at the right moment. The work feels less like running a security program and more like trying to keep an orchestra in sync while each musician plays from a different sheet of music. This is the challenge Sam was created to solve. Sam, the Securonix AI SOC Analyst, acts like a skilled conductor guiding a symphony.

Security operations teams are facing a structural problem that tools alone cannot solve. Alert volumes continue to rise. Telemetry is fragmented across cloud, SaaS, identity, and endpoint environments. Experienced analysts are stretched thin, and hiring additional talent has become increasingly difficult. At the Same time, boards are demanding faster response, stronger governance, and clear proof that security investments are delivering measurable value. AI is often presented as the answer.

Insider threats pose a growing risk to organizations. Whether insiders take malicious actions, exhibit negligent behavior, or make accidental errors, they have the potential to cause significant harm to an organization’s assets, sensitive data, and reputation. Insiders can pose a variety of risks, from stealing confidential data and intellectual property to disrupting systems.

Let's take a closer look at the fragmented NHI inventory from a site reliability engineer's perspective.