Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Phishing isn’t just increasing. It’s outpacing the way many organizations test for it. Attacks have surged 400% year over year, and corporate users are now more likely to be targeted by phishing than by malware. As social engineering becomes a primary entry point into enterprise environments, how you assess phishing risk matters just as much as how often you train for it.

Our increasing dependence on the internet and, specifically, email for business and personal communication has produced the perfect environment for cybercriminals to launch phishing attacks. As organization’s technical controls have advanced, cybercriminals have evolved their attacks, making them more difficult for traditional email security solutions that use signature-based detection (such as Microsoft and secure email gateways (SEGs) to detect.

When threat actors compromise your vendors, they are rarely aiming for a single, isolated win. They are looking for leverage. Every third party represents a potential force multiplier: a trusted connection, a shared platform, a pathway into multiple downstream environments. We recently looked at the vulnerabilities that are most commonly being used against vendors, but vulnerabilities alone don’t tell the full story.

Traditional Web Application Firewalls typically require extensive, manual tuning of their rules before they can safely block malicious traffic. When a new application is deployed, security teams usually begin in a logging-only mode, sifting through logs to gradually assess which rules are safe for blocking mode. This process is designed to minimize false positives without affecting legitimate traffic. It’s manual, slow and error-prone.

Trust is the most expensive vulnerability in modern security architecture. In recent years, the security industry has pivoted toward a zero trust model for networks — assuming breach and verifying every request. Yet when it comes to the people behind those requests, we often default back to implicit trust. We trust that the person on the Zoom call is who they say they are. We trust that the documents uploaded to an HR portal are genuine. That trust is now being weaponized at an unprecedented scale.

Data isn’t a byproduct of business — it’s the heartbeat of your operations. But while most organizations are busy guarding the gates with traditional cybersecurity, they often overlook the most unpredictable variable of all: human behavior.

When security leaders talk about risk, the conversation usually drifts toward ransomware gangs, zero-day exploits, or state-sponsored actors. Fair enough. Those threats are loud and visible. Yet many of the most damaging breaches begin somewhere quieter. Inside the organization. An employee exporting a customer database before resigning. A contractor reusing credentials across systems. A system administrator with broad privileges and very little oversight.

Pharmaceutical regulation relies on three core pillars: Maximum system availability, trustworthy data and rapid recoverability. With the right strategy, manufacturers can uphold them all. Operational technology (OT) systems such as SCADA, manufacturing execution systems, cleanroom controls, environmental monitors and laboratory automation are essential for maintaining validated, compliant and uninterrupted production. When those systems fail, downtime can result in enormous financial costs.

Sr. Technical Content Strategist Most ticketing tools SecOps teams use today were never built for security. Jira, ServiceNow, PagerDuty are all capable platforms but ultimately adapted for a purpose outside of their design. The result is brittle workflows, manual overhead, and systems that require constant care to stay aligned with the natural flow of detection and response. LimaCharlie Ticketing fills that gap.

AI coding assistants are quietly resurrecting millions of abandoned open source packages. For the last decade, developers relied on a simple heuristic for open source security: Prevalence \= Trust. If a package was downloaded millions of times a week (lodash, react, requests), we assumed it was "safe enough" because thousands of eyes were on it. If it was obscure, we approached with caution.