Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Disconnected identity systems create the access risk, audit friction, and IT overhead that identity governance and administration (IGA) is built to close. The 2026 Verizon Data Breach Investigations Report found credential abuse in 39% of breaches. IGA combines policy, certification, and compliance evidence with automated provisioning, deprovisioning, and access requests to keep access aligned with business needs and reduce that risk.

DLP false positives bury real incidents under benign alerts and push teams to switch off the controls they bought. Most of that noise is configuration. Classify sensitive data before enforcement, pair content matches with identity and destination context, phase policies from simulation to blocking, and read override reasons as a tuning signal. Track the trend per policy, and you can show an auditor what the controls do.

Unmanaged, long-lived keys weaken visibility, audit readiness, operational continuity, and cyber resilience, making API key management critical across non-human identities. An effective program maintains inventory and ownership, enforces least privilege and secure storage, and automates rotation, monitoring, and revocation across each key's lifecycle.

MITRE ATT&CK's detection analytic for adversaries mining SharePoint describes bulk access to files and metadata in a short window by privileged or rarely used accounts. That is also a description of Microsoft 365 Copilot answering a question. The technique hasn't changed, but the baseline has, and the exposure now happens with no vulnerability, no compromised credential, and no malicious intent anywhere in the chain.

Within Netwrix Security Research, we were helping a customer with an Entra ID assessment and knew they'd already done AD tiering on-prem. We also knew they had domain controllers virtualized in Azure, but it was hard to tell which Windows Server was actually a DC. We figured out that Azure Run Command lets you run commands as SYSTEM, so we used that to do reconnaissance and identify the DCs.

AI governance in healthcare has become a question boards and auditors ask directly. They want to know which AI tools reach protected health information, who's accountable for each one, and what evidence shows the controls are holding. Most health systems have a written policy and no way to produce those three answers on request, which is precisely what an auditor tests. Healthcare organizations adopted AI faster than they built the governance to account for it.

Netwrix Endpoint Protector earned 8 G2 badges in the Fall 2026 reports, including Leader recognition in Data Loss Prevention (DLP) and Data Security, plus Regional Leader and High Performer badges across multiple regions. Endpoint Protector holds a 4.5 out of 5 rating from more than 160 G2 reviews, driven by feedback on fast support, quick implementation, and consistent policy enforcement. Buyers evaluating DLP tools have to take a lot on faith.

NIS2 changes what "good enough" security looks like for a huge slice of the European economy. If your organization operates in energy, transport, finance, health, digital infrastructure, or any of the other sectors the directive designates as critical infrastructure, you can no longer choose whether to formalize your cybersecurity risk management. Instead, you have to decide how fast you can prove it.

Shadow AI now contributes to one in five data breaches, and Linux endpoints, where most developers work, largely lack DLP enforcement. That means engineers can upload code to AI tools, copy files to USB or Bluetooth devices, sync data to personal cloud storage, and move files through network shares undetected. HIPAA, PCI DSS, GDPR, and CMMC hold organizations accountable regardless of this coverage gap. Netwrix Endpoint Protector extends content-aware inspection and device control to Linux.

A device inventory tells you where the machines are, while a privilege inventory tells you where an attacker can go. An endpoint record can show that a machine exists, who owns it, and whether a management agent has checked in. It does not show who can administer that machine. That distinction matters because an attacker doesn't need a complete asset inventory. A valid privileged path to one useful endpoint may be enough.

An AI agent runs as a process under whatever account launched it, and it inherits that account's access token. If the account has local admin rights, so does the agent, along with every helper process and script it spawns, an example would be Claude Desktop running under an admin account, spawning PowerShell helpers. What makes agents different from a typical privileged app is that their next action often comes from content parsed at runtime, including untrusted input.

Group policy management determines whether a domain enforces consistent security settings or drifts into configuration chaos one unaudited change at a time. Creating, linking, filtering, enforcing, delegating and backing up policy objects are the daily mechanics, while inheritance and precedence decide which setting wins when two conflict. Permissions on those objects turn misconfiguration into an attack path.

Free Active Directory management tools handle lockouts, stale accounts, permissions reporting and bulk changes without a purchase order, and most teams already run several without having picked them deliberately. Each one stops somewhere specific. Knowing where the free editions end, and which gaps close only with a licensed product, decides how the next audit goes.

The most damaging cyber attacks in history rarely involved exotic techniques. A graduate student's experimental worm, a password with no second factor, and an unpatched file transfer tool each caused more damage than any advanced exploit on record. Reading four decades of these incidents in order shows how consistently intruders take the simplest available route, and how little that route has changed since 1988.

Network devices, including routers, switches, firewalls, and more, form the infrastructure that determines how data moves through a network and where security controls apply. Each type carries its own function and risk, from repeaters and switches that move traffic to firewalls and IDPS appliances that defend it. Getting the OSI layer and security implications of each device right is the foundation for a defensible network.

The Active Directory tiered administration model blocks a common path from credential exposure on a compromised workstation to Domain Admin. It separates privileged accounts and systems by scope of control, then enforces logon boundaries so a privileged credential can authenticate only from an approved system. Dedicated accounts and hardened administrative workstations carry most of the weight. A domain admin signs in to a user's laptop to fix a printer problem.

An AI governance framework proves itself the first time somebody asks for proof. The gap that sinks most programs sits under the policy, in the layer where nobody can say which identities reach sensitive data through an AI tool. Ownership, approval paths, control mapping, and live access visibility are what separate a working framework from a well-formatted document, and right now most organizations are missing at least one of the four. AI reaches most organizations through several doors at once.

Entra ID monitoring correlates sign-in, audit, and privileged-role activity to expose suspicious identity changes while evidence still exists. Native controls leave gaps in retention, licensing, and correlation, so resilient teams export data, baseline admin behavior, and connect to Entra ID, Privileged Identity Management (PIM), OAuth, Conditional Access, and on-premises Active Directory events in a single workflow.

AI governance auditing distinguishes between a documented policy and a working control. The audit traces one AI output back through the identity that invoked it, the data it reached, the guardrail that applied, and the record retained afterward. Most programs fail because access is ineffective: nobody can say which identities access sensitive data through an AI assistant, let alone prove the limit is held.