Prophet Security Alternatives: Comparing Five AI SOC Tools
On this page
An overview of Prophet Security
Kamal Shah, the former CEO of StackRox, and Vibhav Sreekanti founded Prophet Security in the Bay Area in 2023. Bain Capital Ventures led its $11 million seed round, Accel led a $30 million Series A in July 2025, and Amex Ventures and Citi Ventures made strategic investments in February 2026, for roughly $41 million raised in total.
The core product is an AI SOC Analyst that triages and investigates every incoming alert and can respond either automatically or after a person approves. An AI Threat Hunter and an AI Detection Engineer sit alongside it. The Watchtower service adds human review at any hour. Prophet’s AWS Marketplace listing prices the entry tier at $50,000 a year for 5,000 investigations, and bigger deployments are quoted individually.
What prompts teams to look elsewhere
Prophet investigates alerts generated by the tools you already own. It does not include its own SIEM or detection layer, so organizations that want detection and investigation from one vendor, or that hope to replace an expensive SIEM, usually need something broader.
There is also less public evidence to go on than with older vendors. Prophet has only a handful of reviews on Gartner Peer Insights and none on G2, along with few named customers or published integration lists. For high-volume SOCs, a per-investigation price can also grow quickly.
Criteria for comparing alternatives
First, settle whether you want a product that investigates existing alerts or one that also writes and runs detections. Next, price every option against a typical month of your own alert volume. Ask for references from customers in your sector, and confirm the deployment model, because single-tenant and multi-tenant setups carry different compliance implications.
Five Prophet Security alternatives side by side
All five handle AI-driven investigation, with clear differences in scope and cost.
| Platform | What it does | How it is priced | Good match for |
|---|---|---|---|
| Exaforce | Agentic SOC platform that generates its own detections, with optional MDR | Quote-based | Teams that want detection, triage, and investigation in one product |
| 7AI | Cooperating agents across cloud, email, identity, and EDR alerts | Quote-based | Large enterprises with heavy alert volume |
| Dropzone AI | Autonomous AI analyst for Tier 1 investigation | Quote-based per AI analyst, capped at a yearly number of investigations | Small teams that want predictable triage capacity |
| Torq | Agentic AI SOC on a hyperautomation engine | Quote-based | Enterprises retiring an older SOAR |
| Intezer | Forensics-based AI triage with built-in response workflows | Quote-based, by endpoint count | Teams that want triage and response without buying SOAR |
Exaforce: detections and investigations from the same context
Exaforce writes and runs its own detections in addition to investigating alerts. Its data platform ingests logs, identity data, configuration, and code, removes duplicates, and correlates events, resolving each one against a structured model of the environment as it lands. A behavioral model learns typical activity for people, machines, and applications.
Because detection and investigation share that same model, the AI agents that triage, investigate, and respond start with the full picture behind each alert. Detections adjust from analyst feedback over time. Teams can operate the platform themselves or have Exaforce MDR run it.
Finding the best match
If your SIEM and detection rules already perform well and you simply need the queue cleared, an investigation-only AI analyst is a sensible fit. If you are also reconsidering how detection works, pick a platform that handles both. In every case, test pricing against a real month of alerts rather than the vendor’s demo data.