— Agentic AI SOC platform that accelerates detection and response. Best for Security operations centers (SOCs) overwhelmed by high alert volumes, Lean security teams that need to scale investigation throughput without adding headcount, Organizations looking to reduce MTTI/MTTR with autonomous AI analysts. Free to use.
Security operations centers (SOCs) overwhelmed by high alert volumesLean security teams that need to scale investigation throughput without adding headcountOrganizations looking to reduce MTTI/MTTR with autonomous AI analystsTeams seeking proactive threat hunting without dedicated threat hunters
Not ideal for
Small businesses with very low alert volumes where automation ROI is unclearTeams that require deep customization of investigation logic or non-standard workflowsOrganizations without existing SIEM/EDR or case management integrationsBuyers expecting a fully no-code solution with no need for initial setup and tuning
A strong candidate for mid-to-large SOCs drowning in alerts, offering genuine agentic automation that mimics expert analysts. However, it's a premium platform with pricing likely aligned to enterprise budgets, and requires existing SIEM/EDR integrations to unlock its full value.
Prophet Security positions itself as a next-gen AI SOC platform that goes beyond basic copilot features. Its key differentiator is agentic AI that autonomously investigates and responds to alerts, mirroring the thought process of a senior analyst. This is a massive upgrade if you're struggling with alert fatigue and can't scale your SOC headcount. The platform covers the full lifecycle: triage, investigation, response, and proactive threat hunting. For teams that currently rely on simple rule-based SOAR, Prophet offers a leap in sophistication. However, it's not a replacement for your SIEM or EDR — it sits on top, ingesting alerts and executing actions via bi-directional integrations. The 100% transparency feature is a plus for compliance and trust. Pricing isn't disclosed, which suggests it's enterprise-tier, so smaller teams may find it costly. Also, the agent's effectiveness depends on the quality of integrations and your existing detection rules. Compared to alternatives like Palo Alto XSIAM or Sentinel's SOAR, Prophet's agentic approach is more autonomous but less customizable for niche workflows. Our take: schedule a demo if you have a high-volume SOC and a budget for automation that truly thinks for itself.
Skip Prophet Security if Skip Prophet Security if you need out-of-the-box integrations with your SIEM, EDR, or case management tools today—most connectors are still labeled 'COMING SOON'.
Latest from Prophet Security
Updated 3 days ago
Across the latest 10 updates: 9 feature updates and 1 news mention.
How likely is Prophet Security to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
funding runway
60
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About Prophet Security
Prophet Security delivers an agentic AI SOC platform designed to supercharge security operations centers (SOCs) with autonomous AI agents. Built for SOC teams overwhelmed by alert fatigue, the platform handles Tier 1-3 tasks including alert investigation, threat hunting, and response. Key features include AI-driven alert triage that mimics senior analyst reasoning, autonomous remediation for high-confidence threats, and a threat hunter library with pre-codified templates. The platform integrates bi-directionally with existing security tools and case management systems, providing 100% transparency into every investigation step. Unlike generic AI copilots, Prophet's agents are purpose-built for security operations, offering deep investigation depth and continuous adaptation to the customer's environment. Trusted by industry leaders like Instacart and Udemy, Prophet claims to deliver a 10x increase in SOC throughput and a 90% reduction in mean time to investigate and respond (MTTI/MTTR).
Researching Prophet Security? Skip the guesswork.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Key Features
Autonomous alert investigation and triage
Agentic threat hunting with natural language queries
Pre-codified threat hunt templates
Automated incident response actions
Human-in-the-loop decision support
Continuous environment adaptation and learning
Dynamic investigation plan generation
Evidence gathering across security stack
Alert summarization and prioritization
True positive identification and critical threat prioritization
Bi-directional workflow integration
100% transparency with reasoning and evidence logs
Real-world workflow fit
Concrete scenarios for the personas Prophet Security actually fits — and what changes day-one when you adopt it.
SOC manager at a mid-market company
Your team of 5 analysts faces 1,000 alerts per day. You configure Prophet to ingest alerts from your SIEM and EDR. Prophet's AI agents begin triaging and investigating every alert automatically, escalating only true positives for human review.
Outcome: Alert queue drops from 1,000 to under 50 per day. Analysts focus on high-fidelity incidents. MTTI reduces from hours to minutes.
Threat hunter at a large enterprise
You use Prophet's natural language interface to run a hunt: 'Find any lateral movement attempts in the past 24 hours using PsExec.' Prophet's agent queries across endpoints and network logs, presents evidence, and suggests containment actions.
Outcome: Hunt completes in minutes instead of manual query assembly. You discover a previously missed intrusion and initiate response.
CISO evaluating AI SOC tools
You request a proof-of-value demo. Prophet's team sets up read-only access to 2-3 data sources. Within the 30-minute POV, you see Prophet investigate a sample alert end-to-end with transparent reasoning.
Outcome: You validate that Prophet can reduce MTTR and SOC workload, and you move forward with a pilot.
Use Cases
Automating Tier 1 and Tier 2 alert investigation in SOC
Reducing mean time to respond (MTTR) with autonomous response
Proactive threat hunting for emerging and unknown threats
Consistent, fatigue-free alert triage across all alerts
Enabling smaller SOC teams to operate at higher efficiency
Models Under the Hood
Proprietary agentic AI (specific model not disclosed)
Limitations
On the integrations page, nearly all connectors are labeled 'COMING SOON,' meaning bi-directional integrations are not yet available out-of-the-box. This limits immediate deployment in multi-tool environments. Pricing is not publicly available, requiring a demo to obtain. The platform is also relatively new to market, so long-term reliability and community support are unproven.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Prophet Security tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free Trial
$0
Ideal for
Security teams wanting to evaluate Prophet's autonomous investigation capabilities risk-free with a 30-minute proof-of-value.
What this tier adds
Free entry point; includes a demo-driven POV with read-only access to 2-3 data sources.
Integrations
Endpoint detection and response (EDR)Email securityIdentity and access managementCloud security toolsData loss prevention (DLP)Case management tools
Hidden costs & gotchas
What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.
•Pricing requires a demo; no self-serve tier available
Where the pricing makes sense
The company stage and team size where Prophet Security's pricing actually pencils out — and where peers do it cheaper.
Prophet Security uses contact-based pricing, likely targeting mid-market and enterprise SOCs with 3+ analysts. This makes it less accessible for small teams or startups compared to vendors with transparent per-seat pricing like Splunk SOAR ($X per analyst) or open-source options like TheHive. The value proposition is high for alert-heavy environments, but without public pricing, budget planning is difficult.
Setup time & first value
How long it actually takes to get something useful out of Prophet Security — broken out by persona, not the marketing-page minute.
For a SOC manager: initial setup including providing read-only access to 2-3 data sources takes about 30 minutes via the proof-of-value process. Full deployment with multiple integrations (once available) may take days to weeks depending on environment complexity.
Switching to or from Prophet Security
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
→From traditional SOAR (e.g., Splunk SOAR): Prophet replaces static playbooks with adaptive agentic reasoning; you can maintain your existing SIEM/EDR stack.
→From manual SOC processes: integrate Prophet as an overlay AI layer—no need to rip and replace existing tools.
Migrating out
↗To another AI SOC platform: export investigation logs and feedback data; Prophet's SOC 2 Type 2 compliance aids data portability.
↗Back to manual SOC: decommission Prophet agents and revert to standard alert workflows; no data lock-in reported.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
•February 25, 2026: Prophet Security announced strategic backing from Amex Ventures and Citi Ventures to accelerate the Agentic AI SOC movement.
•April 22, 2026: Prophet AI now integrates with Google Security Operations (Chronicle SIEM) for AI-driven alert triage and bidirectional sync.
•May 12, 2026: Blog post 'SOAR playbooks: how they work, why they break, and what's replacing them' highlights Prophet's differentiation from static SOAR.
