Teams don't need more dashboards. They need to understand what their data means before they have to normalize, parse, or store it.
The future isn't managing more data. It's experiencing better data.
Read more: auguria.io/blog/the-fut...
Security and observability teams share the same problem: too much data, too much complexity, too much time engineering pipelines instead of getting answers.
But nobody talks about the real issue: the experience of working with that data is fundamentally broken.
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This recognition validates what we've been building—a security data intelligence platform that transforms how organizations manage and optimize their security data.
Proud to be here. Congrats to our fellow semi-finalists.
Read the full announcement here → www.snowflake.com/en/blog/star...
Big news: Auguria is a Top 10 Semi-Finalist in the #SnowflakeStartupChallenge 🏆
Out of hundreds of startups building on Snowflake's AI Data Cloud, we were selected as one of 10 semi-finalists.
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Works with your existing stack. No rip-and-replace. No heavy implementation.
Maximize coverage. Minimize cost.
Let's chat today → auguria.io/demo
Auguria is a security data intelligence platform that can help.
We sit between your raw telemetry and your entire security stack, automatically understanding your data, automating data engineering, and extending your searchable archive.
Data keeps growing. Complexity keeps growing. Costs keep growing.
Your team isn't growing with it.
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World-class tools plus bad data equals expensive false confidence.
Fix the foundation first: auguria.io/demo
Auguria starts where others skip over: the data itself.
The Security Knowledge Layer shows which sources power your detections, where coverage gaps exist, and whether the right data is flowing to the right place.
Nobody asks: Does this data map to real detections? Where are the coverage gaps? Is critical telemetry even flowing?
The industry keeps building faster engines on broken fuel lines. More AI, more automation, more throughput. Speed doesn't matter if the underlying data is incomplete.
Most expensive lie in security: "We have a SOC, so we're covered."
A SOC is only as effective as the data feeding it. Same for your MDR. Same for your AI agents.
Most organizations treat data collection like a checkbox:
✔️ deploy data collection agents
✔️ turn on logging
✔️ send to SIEM
✅ done
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Auguria identifies what matters before it reaches your SIEM.
Billions of events are grouped by similarity using AI, enriched with context, and labeled at scale.
Your SIEM only processes what's worth paying for.
Stop paying for data plumbing. Start detecting threats: auguria.io/demo
Your security team isn't doing security work. They're data plumbing.
Debugging parsers, normalizing log formats, managing pipelines.
Meanwhile, real threats hide in the noise.
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Reduce SIEM costs without losing visibility.
Stop paying the Dark Data Tax: auguria.io/demo
Auguria identifies unmapped logs so you can archive the waste and cut the bill by up to 60%.
The Security Knowledge Layer shows which data powers your detections and which is just cost.
Intelligent routing sends security data to your SIEM and archives dark data to low-cost storage.
Every byte ingested is a dollar spent. Almost 60% of that data has zero security value.
That's the Dark Data Tax: 60% of your data is not actionable. Only 40% is actually security data.
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Our latest blog challenges that approach: what if you went back to the beginning of data engineering and understood what data means before you decide what to do with it?
Read how reversing the order transforms both speed and cost: auguria.io/blog/go-back...
What if you've been solving the data problem in the wrong order?
Most teams collect data first, normalize it, store it, then figure out what it means. By the time you understand what you have, you've already paid to ingest, process, and store petabytes of logs.
The problem isn't volume. It's understanding.
Our latest blog explores why modern SOCs need intelligent data, not just more of it.
Intelligence is the difference.
Read more: auguria.io/blog/securit...
Most SOCs are drowning in data but starving for intelligence.
More logs, more alerts, more tools, more dashboards. Yet analysts still can't answer basic questions: Which data sources feed our detections? Where are the coverage gaps? What's protecting us versus just adding cost?
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Data management platforms will define the next decade of security operations. Not because they store data cheaper, but because they turn data into intelligence that agents can actually use.
Book a demo to see how → auguria.io/demo
When you own the intelligence layer, every AI capability is grounded in outcomes.
Cost optimization isn't guesswork.
Detection engineering isn't reactive.
Investigation recommendations aren't generic.
The moat isn't the agent interface. It's the data substrate that makes agents accurate.
Auguria built the Security Knowledge Layer first.
Before automation, before triage, before recommended actions.
The security industry is racing to build AI agents. But most are building on quicksand.
AI agents can orchestrate brilliantly: correlate tools, draft investigations, follow playbooks.
But they all share one dependency: understanding what the data actually means.
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Book a demo today and see how Auguria can transform your data management → meetings.hubspot.com/adamauguria/...
Auguria compresses billions of events down to their meanings, building a map of what you're actually protecting and where coverage is missing.
You can't protect what you don't understand. And there's too much data to see what matters.
Most security teams don't know what they're protecting until something breaks.
Small teams don't know where to start.
Large teams are drowning in constantly shifting complexity.
Both struggle to understand what they have to spot the gaps.
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Our latest blog explores why improving the data experience starts with changing the way you experience data, from reactive collection to proactive intelligence.
The shift: ask "what is this data actually doing for my security?" before you pay to store it.
Read more: (hubs.la/Q03-c2ZS0)
Most security teams approach data backwards: collect & store everything, then try to understand what you have. By the time you know what matters, you've already paid to store petabytes of noise.
What if you flipped it? Understand your data first, then decide what to do with it.
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The Security Knowledge Layer solves this. Auguria cross-contextualizes your entire security data footprint. Showing agents which 20% of your data actually matters before they start querying.
Auguria will transform security investigations.
Book a demo to see how → auguria.io/demo