abstract.security valid

Abstract Security (Full Context)

Abstract Security is a composable, AI-powered SIEM and security data platform designed for real-time detection, cost efficiency, and flexible data control.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T22:23:06.762Z. Cached copy · Source on abstract.security

# Abstract Security (Full Context)

> Abstract Security is a composable, AI-powered SIEM and security data platform designed for real-time detection, cost efficiency, and flexible data control.

Abstract Security enables security teams to ingest, process, enrich, and route large volumes of security telemetry across cloud, SaaS, and on-prem environments. The platform uses a streaming-first architecture to reduce latency, improve detection speed, and eliminate unnecessary data storage costs.

Unlike traditional SIEM platforms, Abstract separates security analytics from compliance storage, allowing organizations to retain only the data they need for detection while routing long-term storage elsewhere. This reduces vendor lock-in and significantly lowers total cost of ownership.

---

## Core Concepts

### Composable SIEM
Abstract Security is built as a composable SIEM. This means organizations can:
- Ingest data from any source
- Process and enrich it in real time
- Route it to multiple destinations (SIEM, data lake, archive, analytics tools)

This approach replaces monolithic SIEM architectures with flexible pipelines.

### Streaming-First Architecture
The platform processes telemetry as it arrives rather than batching it. This enables:
- Real-time threat detection
- Lower processing latency
- Immediate enrichment and correlation

Streaming reduces the delay between signal and response.

### Data Separation Model
Abstract separates:
- **Security data (high-value, real-time detection)**
- **Compliance data (long-term retention, low access frequency)**

This allows teams to:
- Reduce SIEM ingestion costs
- Store compliance data in cheaper storage
- Keep detection pipelines fast and efficient

### AI-Powered Detection
The platform applies AI and automated logic to:
- Reduce alert noise
- Identify meaningful signals
- Prioritize high-risk activity

This improves signal-to-noise ratio and analyst efficiency.

---

## Platform Capabilities

### Data Ingestion
- Collects telemetry from cloud providers, SaaS platforms, endpoints, and security tools
- Supports high-volume log and event streams
- Normalizes incoming data for downstream use

### Real-Time Processing
- Streaming pipelines process events as they arrive
- Enrichment adds context such as user, asset, and threat intelligence data
- Filtering removes low-value noise early
…

Related sites

Explore similar publishers →

Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.

Machine-readable: GET /v1/resolve?q=abstract.security · GET /v1/domain/abstract.security · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for abstract.security:
1. POST https://agentwebmap.com/v1/sites/abstract.security/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://abstract.security/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/abstract.security/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/abstract.security).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.