Prophet AI Security
Contact SalesAI SOC platform with autonomous agentic AI SOC analysts that accelerate detection and response.
By Tanmay Verma, Founder · Last verified 28 May 2026
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Added 6d ago
76/100Safe BetAI SOC platform with autonomous agentic AI SOC analysts that accelerate detection and response.
By Tanmay Verma, Founder · Last verified 28 May 2026
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
A compelling AI SOC platform for teams drowning in alerts. Its autonomous investigation depth and transparency are standout features, but pricing is undisclosed, so it's best suited for mid-to-large enterprises that can afford a premium solution.
Compare with: Prophet AI Security vs Vectra AI, Prophet AI Security vs Unit21, Prophet AI Security vs Orca Security
Last verified: May 2026
Prophet AI Security is a top contender in the agentic AI SOC space. Choose it if your SOC is overwhelmed by alert volume and you want a true AI analyst that investigates every alert end-to-end. The platform's ability to adapt based on feedback and its transparent reasoning set it apart from black-box copilots. However, pass if you have a small team with low alert volumes—the autonomous capabilities may be overkill, and pricing (unlisted) could be high. Compared to Microsoft Security Copilot, Prophet AI offers deeper investigation logic and proactive hunting, but lacks the breadth of ecosystem integrations. A real-world caveat: the agentic approach requires trust in AI decisions, so teams must be comfortable with human-in-the-loop workflows for critical cases. Overall, it's a powerful force multiplier for mature SOCs.
Skip Prophet AI Security if Skip Prophet AI if you are a small business with minimal security operations or if you require a fully manual investigation workflow without AI assistance.
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Prophet AI Security is an agentic AI SOC platform designed for security operations teams. It deploys autonomous AI agents that handle Tier 1, Tier 2, and Tier 3 tasks, from alert investigation and response to proactive threat hunting. The platform mimics the investigation process of expert analysts, dynamically building investigation plans and pivoting across the security stack to gather evidence. Key features include autonomous triage and remediation for high-confidence threats, natural language-driven threat hunting, and continuous adaptation to the customer's environment. Prophet AI agents also provide 100% transparency by showing their reasoning, queries, and evidence for every investigation. Trusted by industry leaders like Penske, Instacart, and Redis, Prophet AI delivers up to 10x increase in SOC throughput and a 90% reduction in MTTI and MTTR. Compared to traditional SIEM/SOAR tools, Prophet AI offers a fully autonomous, adaptive alternative that scales security coverage without scaling the team.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas Prophet AI Security actually fits — and what changes day-one when you adopt it.
An alert for suspicious login from an unusual location fires. Prophet AI automatically triages the alert, queries the SIEM and identity provider for context, correlates with recent phishing campaigns, and presents a summary with recommended actions.
Outcome: Analyst reviews the investigation in under 2 minutes, confirms it's a false positive, and closes the alert. No manual pivoting required.
Threat hunter uses natural language query: 'Are we impacted by Claude Mythos?' Prophet AI initiates a directed hunt across endpoints, SIEM, and email logs, using pre-codified templates from its library.
Outcome: Within 10 minutes, Prophet returns evidence of no IOCs found, and automatically schedules a recurring hunt for that threat.
Many key integrations (e.g., CrowdStrike, SentinelOne, Splunk) are listed as 'Coming Soon' on the integrations page, so actual tool access may be limited. The platform's effectiveness depends on the quality of organizational context provided and analyst feedback loops. Pricing is only available via contact, which may be a barrier for smaller teams. The platform requires read-only access to 2-3 data sources for initial Proof-of-Value; setup and tuning may take time.
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 enterprise SOCs with budgets for premium AI solutions. Smaller teams may find cheaper alternatives like Tines (SOAR) or Splunk SOAR, but those lack Prophet's agentic reasoning. For MSSPs and large enterprises, the potential 10x throughput increase may justify the undisclosed cost.
How long it actually takes to get something useful out of Prophet AI Security — broken out by persona, not the marketing-page minute.
For a new customer, the vendor offers a free 30-minute Proof-of-Value (POV) requiring read-only access to 2-3 data sources. Full setup time depends on integration maturity; for 'Available' integrations, days to connect; for 'Coming Soon' integrations, weeks or months. Analysts should allocate additional time to provide organizational context and tune feedback loops.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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Alert fatigue in cybersecurity is an investigation-capacity problem; tuning alone won't close the gap.
Last calculated: May 2026
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