Context that moves as fast as your environment.

In traditional SIEM and workflow-based architectures, enrichment is often performed after detection or through separate processes that query external systems for additional context.

Aleph brings that context into the security data layer itself, so identity, asset, posture, exposure, permissions, sensitive data, threat intelligence, and historical context can be available before detection makes a decision.

This turns enrichment from an investigation aid into part of the detection logic itself, enabling more precise detections, better prioritization, fewer false positives, and significantly less manual context gathering.

Some security context can become outdated within seconds. User status, group membership, temporary access, privilege changes, and onboarding or offboarding state are all examples.

Aleph can update this context as the underlying state changes rather than waiting for the next scheduled synchronization.

That matters because stale context can lead to both false positives and missed detections. Security decisions should reflect the environment as it exists now, not as it appeared several hours earlier.

No. The appropriate update model depends on the type of context.

Vulnerability data, internet exposure, sensitive-data classification, asset criticality, and posture can often be synchronized periodically and reused efficiently. Identity and access state may require much faster updates.

Aleph supports both models, keeping context fresh where freshness materially affects the security decision without introducing unnecessary cost or complexity elsewhere.

Aleph parses and normalizes incoming data, including both keys and values, and identifies the entities represented within it.

Users, assets, IPs, IAM roles, applications, servers, buckets, tenants, and other entities can then be recognized consistently across different sources.

This creates a common security language across the environment, allowing context to follow the entity wherever it appears.

The same identity, asset, or resource appears repeatedly across the environment.

Aleph can build context around that entity once and reuse it across relevant events instead of repeatedly querying external systems for the same information.

That improves consistency, reduces third-party API calls, and makes rich enrichment practical even at millions of signals per second.

It allows detection logic to evaluate the security meaning of an event, not only the event itself.

A machine starting may be unremarkable. A production machine starting while internet-facing, vulnerable, and holding sensitive data can require immediate attention.

Making those combinations available directly to the Detection Engine enables higher-confidence alerts, better severity decisions, and detections that isolated event rules could otherwise miss.

Yes. A vulnerability alone rarely provides enough information to determine priority.

Its significance changes based on exposure, exploitability, sensitive data, business criticality, and current activity around the asset.

Aleph makes that context available to detection and severity logic, helping teams distinguish lower-priority findings from situations that require immediate attention, while also monitoring risks that cannot be remediated immediately.

Workflows are highly effective for orchestration, but less efficient as the underlying infrastructure for enriching every security event.

At high volume, repeated calls to third-party systems introduce latency, API limits, duplicated lookups, additional workflow executions, and significant cost.

Aleph handles synchronization, caching, normalization, vendor constraints, reuse, and policy logic within the enrichment layer itself. Workflows can then be reserved for orchestration once something meaningful has been detected.

The impact depends on event volume, external APIs, and how much enrichment is currently performed through workflows.

In one customer environment, moving high-volume enrichment and data handling into Aleph reduced annual workflow-engine spend from approximately $500K to $50K.

The workflow platform remained in place, but was used for orchestration rather than high-volume security data processing.

Yes.

Aleph can work with identity, cloud, posture, security, SaaS, internal applications, databases, business systems, and other organization-specific sources.

Where a standard integration is not enough, custom integrations, parsers, and enrichment logic can be built. Where full ingestion is unnecessary or uneconomical, additional context can also be retrieved selectively when a specific investigation or use case requires it.

Once Aleph understands an identity, asset, or resource, the same context can improve detection, severity, suppression, investigation, and response across the platform.

That is the broader advantage of treating enrichment as shared security infrastructure rather than a one-time lookup attached to an individual alert.