Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For centuries, threat actors, both cyber and physical, have understood the benefits of using extortion to further their criminal activities. This has led some cyber threat groups to create Extortion-as-a-Service (EaaS) businesses. These are a formalized way for cybercriminals to offer extortion services to others for a fee or profit share. And, as we shall see, it is just one of many newer -as-a-service models that threat actors are applying.

A mid-sized company once tried to handle all its AD updates with a set of PowerShell scripts. Things worked fine while the user count was small, but trouble showed up once they crossed a thousand accounts. A script missed a group update, a disabled user stayed active for two extra days, and a bulk change took almost an entire afternoon to fix. None of this was a technical failure. It was the natural limit of manual scripting.

Let’s face it: humans are creatures of habit, and nothing rattles us quite like the prospect of change. (Just ask anyone who’s dared to swap out the office coffee brand—revolutions have started over less.) According to SHRM's research on change fatigue, today’s relentless pace of disruption is exhausting employees faster than a budget ergonomic chair. But here’s where it gets fascinating—where security, HR, and fraud analysis converge in ways you might not expect.

During our research into Microsoft 365 security, we discovered a flaw in Outlook on the web (OWA) that exposed information about users and their mailboxes. By manipulating certain request headers against the “/owa/service.svc” endpoint, an attacker could not only confirm whether a user account existed, but also determine if that account had a mailbox associated with it.

A newly disclosed vulnerability in Ivanti Endpoint Manager (EPM) tracked as CVE-2025-10573 allows unauthenticated attackers to inject persistent JavaScript into the EPM administrative dashboard. Assigned a CVSS score of 9.6, this vulnerability presents a critical security risk because it enables attackers to hijack administrator sessions and gain full control over managed endpoints.

Sensitive information disclosure ranks on the OWASP Top 10 for LLM Applications, and for good reason. When AI-powered applications inadvertently expose private data like personally identifiable information (PII), financial records, health information, API keys, or proprietary business intelligence, the consequences cascade quickly: regulatory violations, competitive disadvantage, and shattered user trust.

The data security landscape is reaching an inflection point. In 2026, the question won't be whether your security stack can detect risks; it will be whether it can predict, prevent, and adapt to them in real time.

Let’s look at something many teams quietly struggle with. Detecting PII inside unstructured text. It feels like it should be simple. After all, we’ve used regular expressions for years to find emails, phone numbers, and ID formats. Yet when we deploy regex in real environments. ticket systems, chat logs, CRM notes, uploaded documents, support transcripts. something becomes clear very quickly. Regex isn’t enough.

BlueVoyant’s Threat Fusion Cell (TFC) observed a Bookingcom references relate solely to adversary brand impersonation.

Why You Shouldn’t Ignore OS Updates Even for “Small” Bugs In cybersecurity, people often focus on the big, headline-grabbing incidents: ransomware outbreaks, nation-state intrusions, or massive supply chain compromises. But the reality is far simpler: Most breaches begin with something small: a patch that wasn’t applied, a “low-priority” update that got postponed, or a seemingly harmless system bug that attackers quietly weaponized.