Answers in Seconds
A purpose-built data lake for analysts and AI agents.
“Has this indicator ever appeared in my logs?” AlphaSOC instantly answers this question by reading indexed events gathered from your cloud workloads, applications, networks, and endpoints.We maintain the data model so you can start hunting.
Extract the indicators from the attached threat report
Read the report · 7 indicators
| TYPE | VALUE |
|---|---|
| Domain | parcel-refund.xyz |
| Domain | sso-verify-portal.top |
| Domain | invoice-2026-review.click |
| Domain | cdn-metrics-eu.xyz |
| Domain | mail-relay-inbound.top |
| IP | 203.0.113.24 |
| IP | 203.0.113.91 |
Now check my telemetry for all of them
lake_search · Evidences · 90-day window
No matches. Nothing in 90 days resolved or connected to them.
Security analysts aren’t data engineers
Modern security data platforms leverage data indexing, caching, and aggregation to deliver fast, cost-effective analytics. Security teams building their own platforms without big data expertise encounter high infrastructure costs and reduced performance.Designed for Speed
The AlphaSOC platform is optimized to store security data. Events are normalized, enriched, and indexed on the way in, and not when you query them. Asking whether an indicator has appeared is a fast, low-cost lookup against an index and not a full scan of the entire dataset.
A Managed Security Data Platform
Integrate your existing tools with our platform to find threats before they become incidents.
Optimized for Agentic Investigations
We store data across four layers. Start with shallow, low-cost searches and iterate to deeper ones.
Findings
What did AlphaSOC detect?
Complete findings mapped to MITRE ATT&CK with the evidence and raw events behind them.
Processing depth
Lightest
Normalized, context-rich data for agents
We standardize around OCSF and KQL to ensure your data is organized and accessible. Prompt the agents within your existing AI tools to perform threat hunting and investigations with natural language.Measurable Benefits
The benefits are not abstract. Each traces directly to a specific capability.
Simplicity
OCSF is the schema. Fields are consistent across all data origins. There are no choices to make about what to index, how to partition it, or which filtering strategy to apply.
Speed
Bloom filters eliminate the index scan for negative results entirely. Has this IP ever been seen in my environment? You get a definitive no in seconds without touching the index.
Scale
There are no shards to manage, no partitions to tune, no reindexing jobs to schedule when schemas change. When you add a new data source, we parse and index the data for you.
Architecture
We manage the whole pipeline through collection, normalization, enrichment, detection, indexing, and storage. There is no separate data platform to operate or maintain.
Hunt Threats at Petabyte Scale
Search normalized, indexed data in seconds to drive retrospective hunting and investigations.
- SIEM
- High
- Data Lake
- Medium
- Low
- SIEM
- High
- Data Lake
- High
- Low
- SIEM
- 7-30 days
- Data Lake
- 1-3 months
- 18 months
- SIEM
- Minutes
- Data Lake
- Seconds to minutes
- Seconds
† The total cost of software licensing, setup, data storage, and processing.
‡ The ongoing cost to gather, normalize, and load events from different sources.
| SIEM | Data Lake |  | |
|---|---|---|---|
| Overall platform cost† | High | Medium | Low |
| Maintenance overhead‡ | High | High | Low |
| Default hot retention | 7-30 days | 1-3 months | 18 months |
| Average query speed | Minutes | Seconds to minutes | Seconds |
† The total cost of software licensing, setup, data storage, and processing.
‡ The ongoing cost to gather, normalize, and load events from different sources.
Work with Indexed Data
Leave the data science to us. We normalize, enrich, index, and store your logs in a purpose-built data lake to power analyst investigations and agentic workflows.