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Indago Team 7/14/26 Indago Team 7/14/26

Designing a Repeatable Briefing Process for Intelligence

Analysts aren't losing time to bad instincts — they're losing it to rebuilding the same source collections, templates, and reviews from scratch every cycle. Here's why consistency in intelligence output is an infrastructure problem, not a discipline one, and what changes when the scaffolding actually holds.

Indago Team 6/25/26 Indago Team 6/25/26

What the First LLM-Driven Intrusion Means for SOC Reporting Workflows

On May 10, 2026, Sysdig documented the first known intrusion in which an LLM agent drove every decision in the post-exploitation phase — from initial access to a fully exfiltrated internal database — in under sixty minutes. This post breaks down what actually happened, why it represents a genuine category shift in the threat landscape, and what it means for the SOC reporting workflows that were built for a slower kind of adversary.

Indago Team 6/18/26 Indago Team 6/18/26

How Travel Risk Assessments Are Evolving

A travel risk assessment produced on Monday can be outdated by Thursday. In threat environments that shift within hours — civil unrest, weather disruptions, rapidly changing health advisories — static country reports can't keep pace. This post breaks down why the traditional model is no longer sufficient, what a modern travel risk assessment actually requires, and how GSOCs are adapting their workflows to meet a duty of care standard that has grown significantly more demanding.

Indago Team 6/9/26 Indago Team 6/9/26

AI SITREPs for SOC Teams, Fusion Centers, and Security Operations

A SITREP is only useful if it arrives before the window for action closes — and producing one manually under time pressure has always been the hardest part. This post breaks down how AI-assisted reporting changes the production workflow for three distinct security environments: SOC teams managing active incidents, fusion centers reconciling multi-agency source streams, and enterprise security operations maintaining consistency at scale.