AI SOC Agents

Eleven platforms that put AI agents to work doing what a SOC analyst does: reading an alert, gathering the evidence around it, deciding whether it is real, and either closing it or escalating with the reasoning attached.

11 tools listed|2026|No editorial scoring|Part of the Tier 1 SOC Automation guide

The category answers to several names, agentic SOC, AI SOC platforms, autonomous SOC, and the label matters far less than four things that genuinely separate these products: how much the agent may do without a human, how it connects to the rest of your stack, whether it shows its working, and where it is allowed to run. This page is the full map of the category. For the narrower question of how deep a platform investigates, our tier 1 and tier 2 SOC automation guides compare many of the same vendors on that alone. Listed alphabetically: we aggregate public information and do not score or rank vendors, and placement is not for sale.

What this shortlist looks at

What the agent actually does

Triage alone, or investigation, threat hunting, blast-radius scoping and response as well. Several of these stop at tier 1 by design.

Autonomy and oversight

Propose-only, approve-then-act, or fully autonomous, and which actions it can genuinely take: isolate a host, disable an account, revoke a session, block an indicator.

Integration model

An API connector built and maintained per tool, or an agent that works through the analyst's browser against whatever is already on screen. This drives most of the deployment effort.

Reasoning transparency

Whether each conclusion shows the queries run and the evidence behind it, and whether that trail is auditable afterwards. This is what determines whether analysts trust the output.

Deployment and data residency

SaaS, self-hosted or air-gapped, where the data sits, and whether FedRAMP or EU residency is available.

Pricing model

Per investigation, per seat, per alert or outcome-based, and whether any figure is published at all. Only one of the eleven publishes a number.

Agent-first or agentic layer

Architected around models and agents from founding, or an agentic capability added to an older automation platform. Both can work, but they behave differently under load.

Featured

Paid placement

Paid placements, shown separately from the editorial shortlist below and not ranked among it.

Agentic security operations platform that learns analyst workflows and turns them into agentic playbooks

Tools listed here

Andesite AI

Air-gapped and FedRAMP High deployment

Covers alert investigation, threat hunting, scoping and remediation as one workflow rather than triage alone, and is the only platform here offering both FedRAMP High and an air-gapped deployment. Its FAQ describes pricing as outcome-based rather than tied to AI usage, which matters when alert volume is unpredictable. Founded 2023.

Human-AI SOC platform for alert investigation, threat hunting, scoping and remediation

Conifers.ai

Multi-tier investigation with reviewable remediation

Its CognitiveSOC platform runs investigation across tiers rather than stopping at tier 1, with blast-radius scoping and remediation a human reviews before it executes. Aimed at enterprises and MSSPs layering agents over an existing stack, with self-hosted deployment available. Founded 2024, the newest platform here.

CognitiveSOC agentic platform for multi-tier investigation, hunting and reviewable remediation

Dropzone AI

The only platform here that publishes its pricing

An AI analyst that autonomously investigates tier 1 alerts across an existing tool stack. Alone among the eleven in publishing pricing: from $36,000 a year for 4,000 investigations, with cost tied to investigation volume. That makes it the only one you can budget for without a sales call. Founded 2023.

AI SOC analyst that autonomously investigates tier-1 security alerts

Exaforce

Separate agents per stage, containment behind approval

Splits the work across distinct agents for detection, triage, investigation and response rather than running one general agent, and gates automated containment behind an approval step. Weighted towards cloud and SaaS-heavy environments. Founded 2023.

Agentic SOC platform with separate agents for detection, triage, investigation and response

Intezer

Forensic depth, and the longest track record here

Autonomous alert investigation with forensic analysis underneath, drawing on the company's malware analysis heritage. Founded 2015, which makes it nine years older than the newest platform on this page and the only one that predates the current agentic wave. Used by enterprise SOC teams and MSSPs on top of existing detection.

AI SOC platform that autonomously investigates and triages alerts with forensic analysis

Legion Security

Learns existing analyst workflows, no API build per tool

Works browser-native, watching how analysts already work and turning those workflows into agentic playbooks. That avoids building and maintaining an API integration for every tool in the stack, which is a materially different integration model from the rest of this list. Founded 2024.

Agentic security operations platform that learns analyst workflows and turns them into agentic playbooks

Prophet Security

Per-alert investigation plans, with the reasoning shown

Builds an investigation plan per alert rather than running a fixed playbook, and exposes its reasoning so an analyst can audit how a conclusion was reached. Layers onto an existing SIEM, EDR and identity stack. Founded 2023.

Agentic AI platform for autonomous security alert triage and investigation

Qevlar AI

EU-based, for teams with data residency constraints

Autonomous alert investigation for SOC teams and MSSPs, and the one European option here, which matters for organisations that cannot send security telemetry to a US provider. Layers over an existing detection stack. Founded 2023.

Autonomous alert investigation platform for SOC teams and MSSPs

Radiant Security

Broad alert-source coverage plus optional log management

Triage, investigation and response across a wide range of alert sources, with optional log management if you want the platform to hold data rather than only read from your SIEM. Founded 2021.

AI SOC platform that triages, investigates, and responds to security alerts

Simbian

Agents that go beyond triage, with an on-premises option

Agents that triage, investigate and respond across a multi-vendor stack, with self-hosted deployment available, which is unusual in this group. Founded 2023.

AI agents that triage, investigate, and respond to security alerts

Torq

A SOAR platform first, with the agentic SOC layered on

The odd one out, and worth understanding before you shortlist it. Torq is a hyperautomation platform in the SOAR lineage, with HyperSOC and the Socrates AI analyst added on top, rather than an agent-first product architected around models from the start. That suits a team wanting workflow automation and an agentic layer in one platform, and suits an agent-only buyer less well. Founded 2020.

Hyperautomation platform with the HyperSOC agentic SOC and Socrates AI analyst

For the full category walkthrough with every tool compared, see the Tier 1 SOC Automation guide.

Frequently Asked Questions

Software that performs the work of a security operations analyst rather than assisting with it. Given an alert, an AI SOC agent gathers the surrounding evidence from your SIEM, EDR, identity provider and cloud logs, reasons about whether the alert represents a real threat, and then either closes it as a false positive or escalates it to a human with the evidence and its reasoning attached. The distinction from older SOAR automation is that a playbook executes steps someone wrote in advance, whereas an agent decides which steps to take for the alert in front of it.

They overlap, and vendors use both terms loosely. SOC automation is the older and broader idea, covering anything that removes manual steps, including rule-based SOAR playbooks with no AI involved. Agentic SOC is narrower and newer: AI agents that make decisions about an investigation rather than following a fixed sequence. In practice most platforms on this page describe themselves both ways, so treat the label as marketing and judge the product on autonomy, transparency and what it can actually do.

One. Dropzone AI publishes pricing from $36,000 a year for 4,000 investigations, tied to investigation volume. Andesite describes its pricing as outcome-based rather than tied to AI usage but does not publish a figure. The remaining nine require a sales conversation. If you need to build a budget before running a procurement, that gap is worth knowing about early.

Not on the evidence these vendors publish. The consistent pattern is that agents absorb the repetitive investigation work, particularly tier 1 alert triage and false positive closure, and hand genuine threats to humans with the evidence assembled. Response actions are usually gated behind approval rather than run autonomously, and several platforms make that gate explicit. The realistic outcome is analysts spending their time on the alerts that matter, not fewer analysts.

Andesite offers FedRAMP High and an air-gapped deployment. Conifers and Simbian both offer self-hosted deployment. Qevlar is EU-based, which matters where security telemetry cannot leave the region. The rest are SaaS only on their published material, so confirm residency directly if that is a hard constraint for you.