Prophet AI Security
Agentic AI SOC platform where AI SOC Analyst, Threat Hunter, and Detection Engineer agents investigate, hunt, and close detection gaps.
Prophet AI sells an actual worker rather than a copilot, and the investigation, hunting, and detection-engineering loop runs as one system. Watchtower's human review of every malicious determination with sub-30-minute validated escalations is the part that lets a CISO defend the autonomy to auditors. The gating question is fit, not capability: this is built for teams whose alert queue has already beaten them.
Verified 18h ago · liveness 73/100 · cite: rightaichoice.com/tools/prophet-ai-security
- Mature SOC teams whose alert queue has outgrown analyst headcount
- Security operations leaders cutting MTTI and MTTR without adding staff
- Teams that want continuous threat hunting but lack the bandwidth to run it
- Detection engineers who need evidence-backed coverage gaps and backtested rules
- Small teams with low monthly alert volume where autonomy adds little
- Organizations without a SIEM, EDR, or identity platform to connect
- Shops that want fully manual investigation and no AI-authored detections
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Skip Prophet AI if your monthly alert volume is low enough that your existing analysts already clear the queue, or if you have no SIEM, EDR, or identity platform for the agents to read from.
Getting value requires read-only access to two or three data sources for the initial proof-of-value, which is engineering time before any licensing conversation.
Prophet AI sells through contact with no published tier list, so it sits in the enterprise budget band alongside other agentic SOC platforms and above per-analyst copilot seats that bolt onto an existing SIEM. That framing fits organizations already paying for CrowdStrike, Splunk, or Microsoft Sentinel at enterprise scale, where displacing analyst hours justifies the cost. For a smaller team comparing a lightweight triage assistant, the economics rarely line up.
In short
Prophet AI Security — Agentic AI SOC platform where AI SOC Analyst, Threat Hunter, and Detection Engineer agents investigate, hunt, and close detection gaps. Best for Mature SOC teams whose alert queue has outgrown analyst headcount, Security operations leaders cutting MTTI and MTTR without adding staff, Teams that want continuous threat hunting but lack the bandwidth to run it. Contact Sales pricing.
No head-to-head comparison for Prophet AI Security yet — the alternatives below are the closest matches we list.
What's new in Prophet AI Security
Checked todayAcross the latest 6 updates: 2 changelog entries and 4 news mentions.
Session Hijacking: Detection and Investigation
Prophet AI publishes detection guidance for session hijacking: four signals separating replayed sessions from traveling users, plus which credentials containment must revoke.
What Zscaler Agentic SOC Means for Security Operations
Prophet AI analyzes Zscaler's agentic SOC offering, covering what it includes, how it handles other vendors' alerts, and evaluation criteria.
What the CrowdStrike Agentic SOC Means for Security Operations
Prophet AI breaks down CrowdStrike's agentic SOC: which parts ship today, what the agents see outside Falcon data, and what buyers should verify first.
Kerberoasting: Detection and Investigation in Active Directory
Prophet AI outlines Kerberoasting detection via domain controller event 4769, why the RC4 signal is fading, and three replacement detections for investigation.
What Microsoft ISOC Means for Security Operations
Prophet AI covers Microsoft ISOC bringing Sentinel features into Defender for E5 and E7 customers, including non-Microsoft data costs and evaluation points.
Will AI Replace the SOC Team? Gartner on SOC Team Structure and Roles
Prophet AI reviews Gartner guidance that the SOC will not shrink by 2030 and how analyst, engineer and exposure roles shift in AI-enabled SOC structures.
What people actually say about Prophet AI Security — is it worth it?
We scanned public community sources for Prophet AI Security on Oct 11, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 3 of the posts we fetched could be positively tied to Prophet AI Security. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Prophet AI Security? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI SOC Analyst investigates every alert at senior-analyst depth
- Auditable alert determinations with transparent reasoning and evidence
- Scoped Agent Actions for response, autonomous or with analyst sign-off
- AI Threat Hunter answers plain-language questions about your environment
- Hunts delivered ready to run or schedulable
- AI Detection Engineer maps real MITRE ATT&CK coverage from your investigations
- Detection authoring and tuning with backtesting before approval
- Retrospective hunting for past exposure after new threat intel
- Prophet AI Watchtower 24x7x365 human-in-the-loop service
- Human review of every malicious determination
- Validated escalations in under 30 minutes by human experts
- Dedicated single-tenant deployment
- Bring-your-own-key option
- No training of AI models on personal data
- 200+ out-of-the-box connectors across endpoint, email, identity, cloud, DLP and network
About Prophet AI Security
Prophet AI Security runs an agentic AI SOC: instead of a copilot that summarizes alerts for a human, a constellation of cooperating agents executes the security operations lifecycle end to end. The AI SOC Analyst investigates every alert at senior-analyst depth and returns an auditable determination with its reasoning, then responds through scoped Agent Actions autonomously or with your sign-off. The AI Threat Hunter takes plain-language questions about your environment and hands back hunts ready to run or schedule. The AI Detection Engineer maps your real MITRE ATT&CK coverage from your own investigations and ships tuned or net-new detections, backtested before you approve them. Behind the agents sits Prophet AI Watchtower, a 24x7x365 human team that reviews every malicious determination and validates escalations in under 30 minutes. That layer is what makes autonomy defensible in an audit. Deployment is a dedicated single-tenant with a bring-your-own-key option and no training of AI models on personal data, and the platform connects through 200+ out-of-the-box connectors spanning endpoint, email, identity, cloud, DLP, and network. Prophet also publishes practitioner material rather than feature lists. Recent write-ups cover Citrix NetScaler zero-days CVE-2026-88771 and CVE-2026-88772 with web shell and deleted-log hunting guidance, Jev (TypeSafe) System One and typed decisions for the SOC, Microsoft ISOC folding Sentinel into Defender for E5 and E7, and SOAR versus AI SOC on response time. It fits mature SOC teams whose queue has outgrown analyst headcount. Small teams with a quiet queue will struggle to justify it, and shops wanting fully manual investigation are the wrong buyer.
Behind the Verdict
Most AI SOC tools we look at stop at summarization. Prophet AI takes the next step and lets agents act, which changes the buyer conversation from 'does it help analysts?' to 'do we trust it to close work?' We'd reach for it when the queue is the bottleneck, not the tooling: if your analysts are triaging all day and hunting and detection engineering never get touched, the three-agent loop maps directly onto that backlog. Pay attention to the audit story. An agent that investigates every alert is only useful if you can show why it cleared one. Prophet pairs each determination with reasoning and evidence and keeps a human team reviewing malicious calls, with sub-30-minute escalations. That combination is what most boards and auditors ask about first, and it's the reason this lands better in regulated environments than a black-box triage tool. Where it bites: this is heavy infrastructure. Dedicated single-tenant deployment and bring-your-own-key are the right defaults for enterprises, but they mean a real implementation project, not a weekend signup. The 200+ connectors cover the common stack, yet a source outside that set still needs a plan before you buy. Compared with MDR, Prophet doesn't replace your team's judgment so much as put agents in front of it. Compared with a classic SOAR, you're buying investigation depth, not just playbook automation. If your queue is small and quiet, an MDR service is cheaper and simpler. If you want full manual control, don't buy this. The practical test we'd run: point it at a week of your noisiest alerts and check whether the determinations match what your senior analyst would write, and whether Watchtower's escalations arrive fast enough for your on-call model. That tells you more than any demo.
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Real-world workflow fit
Concrete scenarios for the personas Prophet AI Security actually fits — and what changes day-one when you adopt it.
Overnight the queue accumulates several hundred alerts across endpoint, identity and email. The AI SOC Analyst investigates each one at senior-analyst depth, pulling context from CrowdStrike Falcon, Okta and Microsoft Defender for Endpoint, and returns a determination with evidence attached.
Outcome: The morning shift starts with ranked, evidence-backed determinations instead of raw alerts, so analysts spend their time on the handful that need judgement rather than the triage queue.
After the AI SOC Analyst has worked a few weeks of real alerts, the AI Detection Engineer maps coverage from those actual investigations and surfaces gaps where no detection fired. Proposed rules are backtested against historical data before approval.
Outcome: Coverage improves against evidence from your own environment rather than a theoretical matrix, and new rules ship with fewer false positives because they were tested first.
A SharePoint zero-day (CVE-2026-58644) and Citrix NetScaler zero-days (CVE-2026-88771, CVE-2026-88772) hit the news. The hunter asks Prophet AI in plain language whether the environment shows exploitation, and the platform returns hunts ready to run or schedule, including retrospective web shell hunting.
Outcome: The team answers 'are we exposed?' within the same day, without writing new queries from scratch, and escalations are validated by Watchtower experts in under 30 minutes.
Use Cases
- Investigate every alert in the queue rather than sampling, cutting MTTR
- Run threat hunts by asking plain-language questions of your environment
- Close detection gaps by mapping real MITRE ATT&CK coverage and tuning rules
- Respond to high-confidence threats through scoped Agent Actions with or without sign-off
- Give analysts context-rich investigation reports instead of raw alert data
- Retrospectively hunt for exposure to a newly disclosed vulnerability such as SharePoint CVE-2026-58644
- Investigate impossible travel and anomalous login cases end to end
- Automate investigation in partner-heavy Microsoft 365 tenants
Models Under the Hood
as of 2026-10-16
Limitations
- Prophet AI's output is only as good as the context and feedback you feed it: the agents investigate well when data sources, asset and identity context, and analyst review are in place, and degrade when they aren't.
- A proof-of-value requires read-only access to two or three data sources before the platform can show anything, and tuning takes time after that.
- Coverage depends on your systems appearing in the 200+ connector list, so a niche or homegrown data source may not be investigable on day one.
- Deploying the platform also means committing to an agentic workflow — if your analysts keep working alerts manually alongside it, you're paying for automation you aren't using.
as of 2026-09-29
Verification history
We have re-verified Prophet AI Security 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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 sells through contact with no published tier list, so it sits in the enterprise budget band alongside other agentic SOC platforms and above per-analyst copilot seats that bolt onto an existing SIEM. That framing fits organizations already paying for CrowdStrike, Splunk, or Microsoft Sentinel at enterprise scale, where displacing analyst hours justifies the cost. For a smaller team comparing a lightweight triage assistant, the economics rarely line up.
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.
Expect a proof-of-value to start with read-only access to two or three data sources, which is usually a day of integration work before the first investigation runs. A single analyst sees value in the first week; a full SOC rollout that includes detection engineering feedback and Agent Action policies tends to take a quarter. Teams already standardised on the 200+ supported connectors move faster
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 manual SOC triage: connect your SIEM, EDR and identity sources read-only and let the AI SOC Analyst work the existing queue in parallel before you change any process.
- →From a summarisation copilot: keep the copilot in place for a pilot cohort of alerts while Prophet AI investigations run alongside, then compare determinations before switching over.
- →From a managed detection and response provider: run Prophet AI on the same alert feed and compare its determinations against your provider's escalations before renegotiating the contract.
- →From homegrown SOAR playbooks: map your existing response steps to scoped Agent Actions, starting with sign-off required, then relax to autonomous on the workflows you trust.
- ↗To a summarisation copilot: export the determinations and evidence Prophet AI produced and re-point your workflow at the copilot, accepting that analysts resume finishing investigations by hand.
- ↗To a managed SOC provider: hand over the connector inventory and detection coverage map the AI Detection Engineer produced so the provider starts from your real ATT&CK picture.
- ↗To an in-house detection engineering function: keep the backtested rules and coverage-gap evidence, since those are your data and remain useful without the platform.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Prophet AI Security”, and we withheld 6: 6 did not mention Prophet AI Security. We are showing none, because we could not prove any of them are about Prophet AI Security.
Official links
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Prophet Security
Agentic AI SOC platform that investigates every alert, hunts threats, and maps your MITRE ATT&CK coverage.
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