How to Assess SOC Readiness Before Deploying AI Agents
Summary
Prophet Security outlines SOC readiness checks for AI agents, including tool and data access, written investigation standards, baseline metrics and human-approval rules. Its 2026 survey of 250+ security leaders found 28% of alerts go uninvestigated.
Key points
- Prophet Security's survey of more than 250 CISOs, SOC leaders and practitioners found 40% use AI daily, 56% are testing it and 4% have no adoption plans.
- Survey respondents said 28% of alerts are never investigated.
- The article recommends checking agent access against queries used in five recent incidents to identify data or tool access gaps before a pilot.
- It advises documenting investigation criteria for high-volume alert types and recording baseline metrics such as investigation time, time to first review and reopened alerts.
- The survey reports an average 75 minutes for a thorough investigation and says alerts often wait close to an hour before being opened.
- Set agent permissions and approval rules before deployment. The survey found 57% require human review before alert closure; no respondent reported giving AI full unsupervised autonomy.
- The survey found 72% of AI users had tried building internal AI tools; 46% of those projects were abandoned, never reached production or were replaced by a commercial product.
Article Details
- Defense Focus
- Assess SOC readiness for AI-assisted alert investigation, threat hunting, and detection engineering, with appropriate data access, written standards, and human oversight.
- Detection Methods
- Compare the queries used by senior analysts to investigate five recent incidents with the queries an agent can run; treat inaccessible queries as readiness gaps.
- Run scheduled or threat-triggered hunts, including hunts for coverage gaps and questions written in plain language.
- Build and tune detections from investigation findings, hunt results, and coverage gaps, then backtest proposed detections against organizational history.
- Track the share of alerts investigated, mean time to investigate, time from alert to first review, and the frequency of reopened alerts.
- Data Sources
- SIEM data and queries
- EDR data and queries
- Identity-provider data and queries
- Cloud and email tools
- Asset and user context
- Historical investigation and detection data
- Platforms
- SIEM
- EDR
- Identity-provider systems
- Cloud tools
- Email tools
- Defensive Actions
- Document investigation standards for high-volume alert types, including evidence requirements and criteria for closing alerts as benign.
- List detections that were disabled due to insufficient review capacity and consider prioritizing them for renewed investigation.
- Before a production pilot, address gaps in query access and establish written investigation standards and agent permissions.
- Start investigations with read-only access and expand permissions gradually as confidence grows.
- Define which actions require human approval; keep human review as the default for response actions.
- Record baseline investigation metrics before a pilot and compare results against them.
- Ask vendors whether customer data is used to train their models and where the data is processed.
Vendors
Products
Prophet AIin Rising in Cyber 2026, an honor voted on by more than 150 CISOs and security leaders. Its platform, Prophet AI, works from the stack a team already runs. First-generation AI SOC tools stopped at alert triage.Prophet AI Detection EngineerProphet AI Detection Engineer takes on the detection engineering work that waits for spare time. It keeps a live MITRE ATT&CK coverage map built from the organization's own investigations, showing which techniques areProphet AI SOC AnalystProphet AI SOC Analyst investigates every alert at every severity, around the clock, with the depth of a senior analyst. It queries SIEM, EDR, identity, cloud and email tools directly and records every question, queryProphet AI Threat HunterProphet AI Threat Hunter is built to answer "are we impacted?" It keeps a profile of each organization's industry, technology stack and the threat actors that target it. When a severe new threat emerges, hunts for it