Prophet AI Security
Agentic AI SOC platform for autonomous threat detection and response
Prophet AI is a powerful force multiplier for SOC teams overwhelmed by alerts. Its agentic approach delivers transparent reasoning and proven throughput gains. However, confirm your integration stack—many connectors are still 'Coming Soon'. If you have a limited SIEM/EDR footprint, consider simpler alternatives.
- SOC teams overwhelmed by alert volume needing to scale without adding headcount
- Enterprises seeking to reduce MTTI/MTTR with autonomous investigation
- Security operations wanting proactive threat hunting across endpoints, email, cloud, and identity
- Teams needing transparent AI reasoning for compliance and audit trails
- Small teams with very low alert volume who cannot justify the investment
- Organizations without existing SIEM/EDR integrations for bi-directional data flow
- Teams that require a fully manual, human-driven investigation process without AI assistance
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Prophet AI if your SOC handles fewer than 100 alerts per day or if your security stack lacks a SIEM or EDR with API access for bi-directional integration.
Pricing is only available via contact, so you may need to budget for a sales negotiation process before knowing the actual cost.
Prophet AI's contact-only pricing targets mid-to-large enterprises with significant alert volume. For smaller teams, the lack of transparent pricing may be a barrier; consider alternatives like Torq or Tines that offer self-serve tiers starting around $10-20 per event per month.
In short
Prophet AI Security — Agentic AI SOC platform for autonomous threat detection and response. Best for SOC teams overwhelmed by alert volume needing to scale without adding headcount, Enterprises seeking to reduce MTTI/MTTR with autonomous investigation, Security operations wanting proactive threat hunting across endpoints, email, cloud, and identity. Contact Sales pricing.
What's new in Prophet AI Security
Checked 10 days agoAcross the latest 9 updates: 5 feature updates, 1 pricing change and 3 news mentions.
"Just Tune Your Detections" Misses What's Actually Changing
AI in the SOC changes detection and investigation architecture, collapsing them into one automated process.
Cyber Hunting: A Practitioner Guide to Proactive Threat Hunting
Guide on hypothesis-driven cyber hunting, scoping, running, and operationalizing hunts that find real threats.
The Mastra npm Supply Chain Attack: Hunting easy-day-js Before It Spreads
Threat hunt turned JFrog's npm supply chain attack research into a yes/no answer for one environment in under an hour.
AI SOC Pricing Models Compared: Per-Alert, Per-Endpoint, Per-Data, and Flat
Compares four AI SOC pricing models: per-alert, per-endpoint, per-data, flat; what inflates bills and what to compare.
Agentic MDR: Advantages and Disadvantages
Agentic MDR adds autonomous AI agents to MDR; details real advantages and overlooked disadvantages.
MDR vs. Agentic AI SOC Analyst: Complementary or Replacement?
Compares MDR and agentic AI SOC Analyst; explores when AI SOC Analyst may be the better choice.
Databricks Just Bought Its Way Into the SIEM War
Databricks acquired Panther to compete with Splunk, CrowdStrike, and Sentinel; predicts SIEM market shift within 24 months.
Automated Investigation at Scale: How Prophet AI Protects High-Exposure Partner Environments
How Prophet AI automates investigation at scale in a partner-heavy M365 tenant: credential sprays, AiTM, token persistence.
AI SOC Statistics: Adoption, Accuracy, and ROI Data
2026 AI SOC stats: alert volume, breakout times, adoption rates, barriers, ROI data with dated sources for business cases.
Viability Score
How likely is Prophet AI Security to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Autonomous alert triage and investigation
- AI SOC analyst mimics expert reasoning
- Automatic incident response with human-in-the-loop
- Proactive threat hunting via natural language
- Pre-codified hunt templates library
- Continuous environment adaptation and learning
- Bi-directional integration with case management
- 100% transparent investigation reasoning
- Automated evidence gathering and analysis
- Alert prioritization and critical threat identification
- Natural language query for threat hunts
- Always-on and scheduled threat hunting
- Dynamic investigation plan generation
- Context-rich investigation reports
- ExtraHop RevealX NDR integration
About Prophet AI Security
Prophet Security is an agentic AI SOC platform that deploys autonomous AI agents to handle Tier 1, Tier 2, and Tier 3 security operations tasks, including alert investigation, incident response, and proactive threat hunting. Built for SOC teams drowning in alert volume, the platform mimics expert analyst behavior—investigating every alert end-to-end, hunting threats before they surface, and continuously adapting to your environment. Key features include autonomous triage and investigation with dynamic reasoning, automated response with human-in-the-loop options, a threat hunter library with pre-codified hunt templates, and 100% transparent investigation reasoning. Trusted by industry leaders like Penske, Redis, Instacart, and ETS, Prophet AI delivers up to 10x increase in SOC throughput and 90% reduction in MTTI/MTTR. Unlike basic security copilots, Prophet AI's reasoning agents plan investigations like senior analysts, providing complete visibility into every decision.
Behind the Verdict
Prophet AI is a serious bet for SOC teams that need to scale investigation throughput without doubling headcount. The agentic architecture and transparent reasoning are genuine differentiators—every investigation shows its plan, queries, and evidence, which is a big plus for compliance and auditor trust. We'd reach for this when you're dealing with thousands of alerts daily, can't hire fast enough, and have a mature SIEM/EDR stack (CrowdStrike, SentinelOne, Splunk, etc.) to feed it. The promised 10x throughput and 90% MTTI/MTTR reductions are backed by customer stories, though your results will vary with environment complexity. Where it bites: if your integration stack is thin or you're still building your detection pipeline, you'll get less value. Pricing is opaque (contact sales), which is typical for enterprise security tools but frustrating for budget planning. Compared to basic security copilots (like Microsoft Copilot for Security), Prophet AI goes deeper—it doesn't just summarize; it investigates autonomously. But it also costs more and requires more setup. For smaller teams with low alert volume or fully manual workflows, this is overkill. For high-volume, compliance-heavy SOCs, it's worth the demo.
Researching Prophet AI Security? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Prophet AI Security actually fits — and what changes day-one when you adopt it.
Day 1: Connect Prophet AI to your SIEM and EDR. Enable autonomous triage for all alerts. The AI investigates each alert, gathers evidence, and presents findings.
Outcome: The analyst reviews only the AI's summarized findings for low-severity alerts, freeing time for complex incidents. Alert backlog drops from thousands to dozens within a week.
Use natural language to launch a hunt: 'Show me all machines with suspicious PowerShell activity in the last 24 hours.' Prophet AI executes the query across connected data sources.
Outcome: Hunt completes in minutes instead of hours. The AI discovers 3 machines with lateral movement indicators; the team remediates before attackers reach critical assets.
Request a Proof-of-Value with read-only access to 2-3 data sources. Prophet AI runs alongside your existing SOC for 30 days.
Outcome: The CISO gets a report showing 10x throughput improvement and 90% MTTR reduction. Data from the POV supports a budget request for full deployment.
Use Cases
- Investigate every alert in minutes to reduce MTTR
- Automate threat hunts using natural language queries
- Close detection gaps by continuously tuning detection logic
- Remediate high-confidence threats autonomously
- Provide context-rich investigation reports for analyst review
- Automate investigation in partner-heavy Microsoft 365 tenants
Models Under the Hood
as of 2026-07-06
Limitations
- The platform's effectiveness may depend on the quality of organizational context and analyst feedback loops.
- Pricing is only available via contact, which could be a barrier for smaller teams.
- The platform requires read-only access to 2-3 data sources for initial Proof-of-Value, and setup and tuning may take time.
as of 2026-06-28
Where the pricing makes sense
The company stage and team size where Prophet AI Security's pricing actually pencils out — and where peers do it cheaper.
Prophet AI's contact-only pricing targets mid-to-large enterprises with significant alert volume. For smaller teams, the lack of transparent pricing may be a barrier; consider alternatives like Torq or Tines that offer self-serve tiers starting around $10-20 per event per month.
Setup time & first value
How long it actually takes to get something useful out of Prophet AI Security — broken out by persona, not the marketing-page minute.
Initial Proof-of-Value takes 1-2 weeks, including read-only API connections to 2-3 data sources. Full production deployment typically requires 2-4 weeks, depending on integration complexity and tuning.
Switching to or from Prophet AI Security
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Basic SIEM: Connect your SIEM (e.g., Splunk, Sentinel) to Prophet AI via API; existing alerts are automatically ingested and investigated.
- →From MDR provider: Prophet AI augments rather than replaces MDR; you can phase out MDR coverage for Tier 1 alerts after validation.
- ↗To Manual SOC: Export investigation reports from Prophet AI; there is no lock-in, but you lose the autonomous investigation capability.
- ↗To Another AI SOC Vendor: Prophet AI's open API allows exporting investigation history; most alternatives offer similar data export options.
Integrations
Resources & Guides
Official links
Tools that pair well with Prophet AI Security
Common stack mates teams adopt alongside Prophet AI Security, with the specific reason each pairing earns its keep.
Alternatives to Prophet AI Security
View allDarktrace
AI cybersecurity platform for autonomous threat detection across network, email, cloud, OT, identity, and endpoints.
Field Effect
Intelligence-grade MDR with native AI detection and response.
Frequently Asked Questions
Categories
Used Prophet AI Security? Help shape our editorial sentiment research.