Cut SIEM Costs

Minimize risk for less. Automatically sanitize, analyze, and categorize your telemetry data before it leaves your environment. Route your enriched data to any security tool, or index it for simple storage.
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"One thing that people are running into a lot is there may have been incidental PII in various systems. The ability to either filter that upfront, limit the scope of what you’re looking at, or shape it so that you don’t get personal data coming into the pipeline is going to be huge."
Alex K
Alex K
Director of Security, Remitly
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"With a tool like this, you are learning from unexpected things that happen and when people finally jump in, the context has already been gathered, so they aren’t running around trying to stitch the picture together."
Kyle Welsh
Kyle Welsh
CIO, Seattle Bank
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"DevOps is really hard when you’re doing 75% Ops, and 25% Dev. Automating your way out of log analysis, and some detection and reconciliation processes, is great."
Dallas Thornton
Dallas Thornton
Director, Digital and AI, PACCAR
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"Data fuels all of AI. With Edge Delta’s AI release, it’s not just a static set of data — the streaming aspect makes it very fresh and most accurate and relevant to the task at hand."
Mark Relph
Mark Relph
Head of Data and AI, Partner GTM, AWS
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"I’m very impressed by the sophistication, the innovation that’s happening here, and how valuable this is for the people that are really burdened by doing this work all the time. "
Ece Kamar, PhD
Ece Kamar, PhD
CVP, AI Frontiers Lab Microsoft Research
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The Challenge

SIEMs are bleeding money and missing threats

The flood of data streaming into your SIEM isn't just overwhelming — it’s wasteful and dangerous. Sifting through unnecessary, repetitive logs costs a fortune and damages your security posture. Configure Edge Delta to send only the data that matters to your preferred SIEM vendor, retain a full copy of your raw data safely and securely in S3, and mitigate the following risks:

Affordability

Logs from routine firewall hits, DNS lookups, and software updates eat your budget and provide no value. Sending all this non-actionable data to an expensive vendor inflates your security spend.

Lack of Insight into IOC

Real threats are buried in piles of unnecessary logs from non-critical network activity, endpoint health checks, and so on. This noise should be separated from the real indicators of compromise (IOC).

Slow Analysis

Processing lag times from the ingestion of raw datasets means losing ground to adversarial techniques and emerging threats, which increases attack surfaces, opportunities for defense evasion, and chances of prolonged breaches.
The Solution

Heavier defenses, lighter costs

Strengthen your protection by automatically filtering your data before routing it to any downstream destination — SIEM, storage, or otherwise. Edge Delta’s Telemetry Pipelines provide automated, intelligent analysis of your data to uncover patterns and anomalies so you can make faster, smarter decisions that better align with your security and budget. Reduce the complexity of your data management and improve posture against attacks and breaches.

Heavier defenses, lighter costs

Automatically summarize data from the edge into patterns before it’s routed to your SIEM, drastically reducing the time to analyze behavior and detect anomalies. Send a copy of all raw data to secure object storage.

Pre-process your data in a variety of ways — including PII masking — before it leaves your environment to ensure stronger adherence to strict compliance rules and regulations.

Gain real-time alerts when incidents arise to better assess potential operational and security issues. Filter noise with intelligent root-cause analysis from OnCallAI, Edge Delta’s AI copilot.

Ready to take the next step?

Learn more about our use cases and how we enable you to control all your telemetry data.

Trusted By Teams That Manage Telemetry Data at Scale

“This is not just about doing what you used to do in the past, and doing it a little bit better. This is a new way to see this world of how we collect and manage our observability pipelines.”

Ben Kus, CTO, Box
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