Executive Summary
An AI agent that investigates every alert changes what a SOC is short of. The scarce resource stops being analyst hours and becomes trust in the verdict.
When a team receives more alerts than its people can investigate, low- and medium-severity alerts get the least attention. AI SOC agents take that first pass: they pull context from the SIEM, endpoint, identity, cloud and email tools, reach a determination, and show the evidence. The promise is that every alert gets a full investigation and analysts spend their time on the cases that need judgment.
The products in this guide share that promise and differ in three ways that matter more than any benchmark. Who stands behind the verdict: software alone, the vendor's own analysts, or your team. What the agent may do without asking: report, recommend, or contain. And how the price is set: by investigations, endpoints, or a managed service fee. Decide those three before comparing accuracy claims, because they determine the operating model you are buying.
Why AI SOC Agents Became a Separate Purchase
Security orchestration tools automated the steps a team had already written down as playbooks. AI SOC agents work from the alert itself, deciding which questions to ask and which tools to query. That difference is why they are bought separately from SOAR: a playbook covers the cases someone anticipated, and an investigating agent is aimed at the long tail nobody wrote a playbook for. 7AI states that it runs the security operations lifecycle as one system: detect, investigate, respond and hunt.
The approaches differ most on human oversight, and vendors are explicit about it. Dropzone AI states that there are no vendor-provided human safety drivers behind the scenes. Prophet Security states that human experts stand behind the AI 24x7x365 and that every malicious determination is reviewed. Neither is better in general. Software-only verdicts keep the work in your environment and your team in charge of every escalation; vendor review adds a second line of judgment and a dependency on the vendor's staff.
Platform vendors are adding agents to the products you may already own. Microsoft states that ready-to-use Security Copilot agents are embedded in its security products for tasks such as phishing triage, vulnerability remediation and alert triage. If most of your alerts come from one vendor's stack, its native agents are the baseline any independent product has to beat on your data.
Software, Service, or Both
Building an investigating agent in-house is possible with general-purpose models and your SOAR, at least for narrow alert types. The cost is in what surrounds the model: integrations to every tool, context about your environment, evaluation of its verdicts, and an audit trail an investigator can trust. For most teams the decision is between software they operate and a service that operates it for them.
Several vendors now offer both. 7AI states that customers can run 7AI directly, with dedicated AI Security Engineers who configure the agents to their environment. 7AI states that it can run security operations for the customer, around the clock, as fully managed security operations. Managed detection and response providers are moving the other way: AirMDR describes itself as AI-powered managed detection and response with 24/7 SOC monitoring. The line between an AI SOC product and an AI-driven MDR service is now a contract choice more than a technology one.
| Model | What you buy | What you take on |
|---|---|---|
| AI SOC software, your team reviews | Investigations and verdicts with evidence | Tuning, oversight and every escalation decision |
| AI SOC software with vendor review | Verdicts checked by the vendor's analysts | Dependence on the vendor's staff and their judgment |
| Platform-native agents | Agents inside a security suite you already run | Coverage limited to that suite's data and products |
| AI-driven managed service | Monitoring and response delivered as an outcome | Less visibility into how verdicts are reached |
| In-house agents | Full control of models and prompts | Integration, evaluation and maintenance work |
How do you evaluate AI SOC Agents?
Evaluate these products on the quality of their verdicts, the evidence behind them, and the limits on what they do alone. Speed and alert volume matter, but they are the easy part. The hard parts are reaching the right answer on alerts the agent has not seen before, showing its reasoning clearly enough that an analyst can check it quickly, and acting only within the bounds you set.
Integration depth decides how much the agent can see. Dropzone AI states that Dropzone queries the customer's tools via API, with no data lift and no normalization. Intezer states that it combines forensic capabilities, including endpoint analysis, memory scanning, reverse engineering and threat intelligence, with multiple AI models for alert triage. Ask each vendor which of your alert sources it can investigate fully, not just ingest.
| Capability | What it does | Buyer translation |
|---|---|---|
| Verdict with evidence | Reaches a determination and shows the steps | An analyst must be able to check it in a minute. Ask to see a wrong verdict and how it was caught. |
| Integration coverage | Queries the tools where evidence lives | Gaps in coverage become gaps in verdicts. Map it against your alert sources. |
| Environment context | Learns what is normal for your organization | Reduces repeat false positives. Ask how context is reviewed and corrected. |
| Bounded response | Takes containment actions within limits | Prophet Security describes responding through scoped Agent Actions, autonomously or with the customer's sign-off. |
| Data isolation | Keeps your data separate from other customers' | Prophet Security states that Prophet AI deploys as a dedicated single-tenant, with a bring your own key option and no training of AI models with personal data. |
| Audit trail | Records every query and finding | Needed for incident reviews and regulators. |
| Deployment constraints | Where the product can be used | Microsoft states that Security Copilot is not currently designed for use by customers using US government clouds. |
| Threat hunting | Proactive searches beyond alerts | Extends the agent from reacting to looking. Check whether it is included or extra. |
Vendors in AI SOC Agents
Representative vendors include 7AI, AirMDR, Dropzone AI, Intezer, Microsoft and Prophet Security. The list is alphabetical, is not a ranking, and is not for sale. How we choose vendors
The approaches below differ by who stands behind the verdict and how the product is delivered. Several vendors offer more than one model, so the approach describes where each is designed to be strongest.
Integration with what you already run matters as much as the agent. Microsoft states that Security Copilot integrates with Microsoft Defender XDR, Microsoft Sentinel, Microsoft Intune, Microsoft Entra and third-party services such as ServiceNow and Jamf. Independent products integrate across vendors; platform agents integrate deeply with their own suite. The right choice follows where your alerts come from.
| Vendor | Approach | Where it fits |
|---|---|---|
| 7AI | Agentic SOC platforms | Agents across the SOC lifecycle, run by your team or as a managed service |
| Prophet Security | AI with vendor review | Agent investigations with human review of malicious determinations |
| AirMDR | AI-driven MDR | Managed detection and response with AI triage |
| Dropzone AI | Autonomous AI analysts | Software-only investigations, priced by investigation capacity |
| Intezer | Forensic triage | Forensics-led triage with endpoint-based pricing |
| Microsoft | Platform-native agents | Agents across Defender, Sentinel, Intune and Entra |
One representative of each approach is named here; the category runs to more than twenty vendors, and several span camps. The approaches were defined first and each representative chosen afterwards; this table is not for sale. AI SOC vendors, named here or not, can make their own case in the Spotlight below.
How much should you budget for AI SOC Agents?
Pricing in this category is still settling, and vendors meter different things: investigations, endpoints, alert sources, or a managed service fee. The unit decides how cost grows. A per-investigation price grows with alert volume; a per-endpoint price grows with your estate regardless of alerts; a service fee bundles both with the provider's staff.
Dropzone AI prices its AI SOC Analyst by investigation capacity. Dropzone AI states that it notifies customers approaching their investigation limit, with a grace window, and that additional investigation capacity can be purchased. Dropzone AI states that a subscription includes unlimited users and pre-built integrations with SIEM, SOAR and EDR tools. Intezer states that its pricing is endpoint-based, without volume fees. AirMDR advertises an always-free plan for automated alert triage. Model your alert volume for a year, including growth from new detections, before comparing quotes on different units.
| Meter | You are charged for | Grows with | Where it goes wrong |
|---|---|---|---|
| Investigations | Alerts investigated per period | Alert volume | New detections multiply alerts mid-term |
| Endpoints | Protected devices | Estate size | Paying for devices that produce few alerts |
| Alert sources | Connected tools or source types | Number of integrations | Adding a source becomes a commercial event |
| Platform license | Capacity inside a suite | Suite consumption | Agent use drawing down a shared budget |
| Managed service | An outcome with provider staff | Scope and estate | Less control over tuning and escalation |
How long does implementation take for AI SOC Agents?
Roll out an AI SOC agent the way you would onboard an analyst: watched closely at first, trusted with more as it proves itself. The phases below move from observing to acting.
Connect alert sources and let the agent investigate in parallel with your team, with no actions and no closures. Compare its verdicts with your analysts' on the same alerts.
Let the agent close agreed low-risk alert types, with analysts reviewing a sample daily. Record every disagreement and how it was resolved.
Enable specific containment actions with approval, then without approval for the narrowest cases. Write down who is accountable for an automated action.
Review a sample of closed alerts monthly, track missed threats, and feed findings back into detection tuning. Reassess which decisions the agent makes alone.
What should you ask vendors about AI SOC Agents?
Ask each vendor to answer on your alerts, in your environment, during the trial.
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Do your alerts come mainly from one vendor's security suite?Yes Start with that suite's native agents as the baseline, then test independents against it.No Shortlist products that integrate across vendors.
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Do you have analysts to review verdicts every day?Yes Software your team operates keeps control in-house.No Consider products with vendor review or an AI-driven managed service.
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Is most of your alert load endpoint and malware related?Yes Include a forensics-led triage product.No Weight integration coverage across identity, cloud and email.