Rethinking Log Management

Imagine standing in the British Library. Millions of books, no organization, no labeling—just shelves overflowing with unsorted information. Somewhere in that chaos is a clue to stop a thief, and it’s your job to find it.

That’s what modern cybersecurity teams face every day. Logs are generated in overwhelming volumes, scattered across systems, formats, and sources. Somewhere inside that stream is a signal of a real threat, but finding it means wading through endless noise, without knowing what actually matters.

This isn’t just a storage problem. It’s not even just a log management problem.

It’s a problem of missing context.

THE FLAWED PREMISE OF TRADITIONAL SIEM

SIEM platforms are built on the idea that more storage and correlation equal better security. They ingest logs from across your environment, store them, and search for Indicators of Compromise (IOCs) using rules and queries.

But here’s where SIEMs fall short: they don’t understand what matters. Every log is treated the same, whether it came from a test server or your crown-jewel data store. The result? Security teams are overwhelmed with irrelevant data.

Cloud sprawl, remote work, SaaS, microservices: every layer of the modern stack generates telemetry. Firewalls, endpoints, APIs, identity providers, even printers; they all produce logs. Formats differ, semantics vary, and nothing is labeled “important.”

Security teams are expected to sift through it all. But scaling ingestion and storage doesn’t scale insight. It just amplifies the noise.

INTRODUCING EVENTFLOW: INTERPRET, ENRICH, ACT

Where SIEMs store and search, EventFlow interprets. The moment a log is ingested, it’s semantically parsed and enriched with Zero Trust context, including the CIA rating (Confidentiality, Integrity, Availability) of the asset involved.

Instead of looking for generic IOCs, EventFlow asks:
Does this event impact a protect surface that matters to the customer? Is it anomalous in this context?

If so, the event is linked to an existing case or used to create a new one. The Zero Trust mSOC is automatically engaged to investigate. Only relevant, actionable incidents reach the customer.

Everything else? Still stored (of course). Just not in a large pile of data for you to still sift through.

The result is precision. Events are filtered based on business risk, not just technical signals. False positives drop. Analysts get back time. Real threats are surfaced faster.

In a world where attackers move in minutes and detection delays are measured in days, real-time interpretation beats retrospective search every time.

UNDERSTANDING LOGS

If your security still relies on passively storing logs and searching for known bad patterns, you’re operating in the past. SIEMs weren’t built for Zero Trust or for the dynamic, hybrid, decentralized environments we face today.

EventFlow is.

It doesn’t just collect logs. It understands which ones matter, when they matter, and why in near real time.