Why Network Detections Need an Identity Layer

Security teams are deploying agentic SOC platforms to automate initial network triage and minimize human intervention.

In standard security operations, triage functions like a relay: network data fires an alert, and an analyst steps in to add identity details to make sense of the threat.

However, agentic platforms eliminate the secondary data-enrichment step by treating identity as a core input during initial evaluation.Merging inputs inside the agent's decision loop gives the platform enough context to deliver trustworthy automated verdicts.

The Ceiling on Network-only Detection

A detection engine scores behavior against a baseline, providing a statistical picture of what counts as normal for a device, account, or application. The resulting score measures how far behavior deviates from the baseline. But the model producing that score does so without referencing the underlying account holder.

The design was harmless as long as an analyst stood between the score and any resulting action, supplying the identity read that a detection alone was unable to provide.

Building a trustworthy agent that can make equally accurate identity-based decisions means giving an agent two datasets simultaneously: network telemetry and identity logs.

Separating identity from the initial alert reproduces manual lookup delays inside automated workflows. If an agent parses network anomalies in isolation, the correlation process slows, consuming time analysts would otherwise spend hunting active threats.

What Identity Adds to an Investigation

Real-time identity correlation transforms a raw session hijack alert from a simple network warning into a complete threat evaluation.

To illustrate, when an attacker steals an authentication token to hijack an active session, the detection tool flags the unusual login event. However, network telemetry alone inherently stops reporting at the IP address and protocol data. When organizations link the detection directly to the underlying user account, agents receive the operational context needed to evaluate an incident.

Determining an alert’s priority level requires combining the initial network alert with the user's assigned permission levels. Combining the inputs isolates high-risk executive account breaches from lower-risk standard user compromises, allowing analysts to address critical threats first.

In situations involving constrained analyst capacity, context makes prioritization possible. 

Two Paths Through a Session Hijack Investigation

Evaluating an alert without user details produces a very different outcome than evaluating the same alert with identity logs attached. An unmapped network signal forces security teams down a manual, multi-step investigation path.

Adding user permission levels at the start directs the workflow straight to an immediate, automated resolution. The table below traces a single session hijack through both evaluation paths, step by step.

The evidence row shows how adding user context transforms initial assumptions into a definitive verdict.

From Signal to Evidence

A stolen-token alert begins as an unverified hypothesis. Identity logs focus the investigation onto a specific user account and machine endpoint. Transaction records confirm that the suspected activity actually occurred.

Packet capture carries the investigation one step further, exposing the mechanics of the activity and the conditions producing it. The result: evidence that can support a root cause finding, withstand scrutiny, and, when required, hold up under regulatory review.

Where Our Identity Data Comes From

Packet-level evidence and transaction records verify the exact timing and scope of a token-theft incident. Identity logs supply the critical context needed to identify the person behind the activity. RevealX pulls account data directly from Microsoft Entra ID and Active Directory. Integrating RevealX with Okta imports additional user attributes, including job titles, reporting lines, assigned roles, and group memberships.

Product integrations correlate Okta user identifiers directly with real-time network behavior. Correlating identity data with live traffic isolates the specific devices and internal systems a compromised account touched, establishing the exact blast radius of an incident.

RevealX provides built-in response controls directly inside the investigation workspace. Analysts can instantly revoke active sessions or suspend compromised user accounts to stop lateral movement.

Where the Business Case Stands Today

Integrations earn their place only if they change outcomes.

One of the clearest quantified proof points today comes from the same MCP server and IT Ops Health Agent architecture already running as an agentic NOC, where IT operations teams have cut investigation time sharply. 

In one anonymized case, correlating network performance metrics with packet-level evidence through the MCP server and IT Ops Health Agent cut a network issue that once took a twelve-hour, all-hands war room down to about an hour — a roughly twelvefold improvement.

The agentic SOC use case runs on the same architecture, earlier in deployment: ExtraHop is building it with a small number of customers now, while solutions engineers run structured exercises mapping what identity and network context make possible in security operations.

Where Vendor Claims Outpace the Technology

One claim circulating in the market deserves scrutiny: identity providers that track human identities are now claiming equal precision tracking every non-human identity and agent action on the network. The claim outpaces what the industry can currently deliver.

Attackers are sharpening AI-driven tradecraft at the same pace at which vendors are advancing detection, leaving most security teams with an incomplete picture of machine activity.

Evaluating an agentic platform requires empirical testing. Security teams can test vendor claims by executing a controlled session hijack, triggering a login from a new location while reusing an active session IP address. Inspecting the resulting forensic telemetry reveals the true boundary of a platform's identity context capabilities.

See how ExtraHop ties identity to the network evidence that backs it up. See how ExtraHop ties identity to the network evidence that backs it up.

Related reading:

• Arming Your SOC to Defeat Advanced Identity Attacks
• New in RevealX: Identity-Based Threat Investigations
• What is Context? The Foundation for AI-era Security