Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Chris Jacob, Field CISO, Securonix There is a particular kind of unease that comes with geopolitical tension. It rarely arrives for security teams as one clean, obvious event. More often, it shows up as a change in tempo across the environment. Scanning increases and phishing attempts feel sharper. Then you start having leadership asking harder questions about exposure, suppliers, regions, and sensitive data.

The Securonix Threat Research team has identified an ongoing espionage campaign, tracked as SHEETCREEP, where threat actors deliver a C# remote access trojan through a diplomatic-themed ISO phishing lure.

Securonix Threat Research tracks TAX#TRIDENT, an active fake Indian Income Tax-themed campaign that uses three delivery paths to reach Windows endpoints. The campaign starts with fake tax assessment lures and then moves victims toward ZIP files, VBScript downloaders, or PHP-looking web endpoints that actually return script content.

For most organizations, answering these questions is slow, manual, and difficult to defend. Analysts must interpret threat reports, build SIEM queries, run retroactive searches, and validate findings under pressure. The result is delayed answers, inconsistent processes, and limited confidence at the executive level. This is the gap between threat awareness and proof of exposure. It is where operational risk and board-level scrutiny converge.

Every security leader knows the sequence. A new threat breaks; reports start circulating, and within minutes the same questions are moving through the organization. Are we exposed? Does this change our risk? What are we doing about it?

Modern security teams are not lacking data. They are drowning in it. Threat intelligence feeds, indicators, campaigns, internal detections, and investigation artifacts are constantly growing in volume and complexity. Yet when analysts need answers, they are often forced to manually search, pivot, correlate, and interpret across multiple data points. This creates a familiar problem: too much data, not enough clarity.