How much does PRE Security cost?

Fixed, asset based pricing that explicitly avoids ingestion based or storage based pricing to remove barriers to ingesting all data. No public dollar figures; enterprise sales motion. Can be deployed in parallel to an existing stack for low disruption transition.

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PRE Security

Q: Who is PRE Security for?

Enterprise SOC and security operations teams, MSSPs and MiniSOC operators, Security leaders replacing legacy SIEM

Also known as: PRE, CyberLLM, Predict & Prevent, SOCGPT

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Security / SOC agentindependentVerified 2026-07-08

AI native predictive SecOps platform (Predict & Prevent) that replaces or augments legacy SIEM with parserless ingestion, generative XDR, agentic triage, and predictive analytics.

PRE Security is an AI native predictive SecOps platform positioned to replace or augment legacy SIEM and XDR. Built on an agentic architecture it calls CyberAI, the platform combines generative detection, predictive analytics, and agentic automation across the whole SecOps workflow. Parserless ingestion uses generative AI to identify, interpret, and classify any data source without hand built parsers, while a patented Log2NLP process converts logs and alerts into natural language so agentic AI can correlate across data sets.

Generative XDR detections find threats by behavioral similarity rather than known signatures, and agentic AI then handles triage and response autonomously. A Predict and Prevent layer uses predictive analytics, a statistical memory layer, and Monte Carlo scenario modeling to identify attack patterns in formation before impact. Natural language assistants (SOCGPT, SOARGPT, BREACHGPT) let analysts run investigations, response actions, and breach attack simulations in plain language, and a MiniSOC packaging lets small or remote teams deliver SOC services.

PRE Security is headquartered in Silicon Valley (San Jose) with a leadership team drawing on NetScreen, Fortinet, Barracuda, Cisco, Splunk, Zscaler, and Stellar Cyber backgrounds. Its fixed, asset based pricing model deliberately avoids ingestion or storage based pricing to remove barriers to ingesting all available data.

Vendor details

Canonical URL

https://presecurity.ai

Subcategory

AI native predictive SecOps / AI SIEM

Funding status

Seed; headquartered in San Jose / Silicon Valley; leadership from NetScreen, Fortinet, Cisco, Splunk, Zscaler backgrounds

Company status

independent

Use cases & customers

Primary use cases

Legacy SIEM replacement or augmentationParserless log ingestion and noise reductionGenerative XDR threat detectionPredictive attack preventionNatural language SOC investigation and response

Target customers

Enterprise SOC and security operations teamsMSSPs and MiniSOC operatorsSecurity leaders replacing legacy SIEM

Deployment options

SaaSRuns in parallel to existing SIEM/stack

Integrations

Parserless ingestion accepts any data source or format, streamed or via API connectors, with no prebuilt parsers or integrations required; SignalGate classifies and routes logs; can sit in front of an existing SIEM/XDR to pre process logs or replace it outright; includes a lightweight EDR agent for Windows.

In practice

A SOC replaces its legacy SIEM, ingesting any log source without parsers as SignalGate suppresses noise and generative XDR surfaces behavioral threats

The Predict and Prevent layer models attack patterns in formation with Monte Carlo scenarios, giving the team time to act before impact

An analyst uses SOCGPT to investigate an incident in plain language and runs a breach attack simulation through BREACHGPT without query languages

Sources & related URLs

Research sources

https://presecurity.ai/ https://www.presecurity.ai/about-company https://www.prnewswire.com/news-releases/pre-security-enhances-ai-data-fabric-use-case-and-expands-predictive-capabilities-302564442.html https://awards.thehackernews.com/winners/2026/pre-security-predictive-secops/

Capability coverage

10.0 / 14 capabilities · 71%

Integrations & Tool CallingParserless ingestion accepts any data source or format, streamed or via API connectors, with no prebuilt parsers or integrations required, and SignalGate classifies and routes logs. presecurity.ai homepage and Cybersecurity Excellence Awards listing retrieved 2026-07-08.	Full
Workflow OrchestrationAgentic AI handles triage and response autonomously across the SecOps workflow, with Gen AI SOAR and built in breach attack simulation for on the fly response actions. presecurity.ai homepage and Cybersecurity Excellence Awards listing retrieved 2026-07-08.	Full
Knowledge Grounding & RAGCyberLLM correlates signals across the entire environment with full context, the AI Data Fabric ingests, enhances, and analyzes data, and the platform uses RAG and GPTs per its own architecture description. presecurity.ai and about page retrieved 2026-07-08.	Full
Human Oversight & GuardrailsSOCGPT lets analysts run investigations and command data in plain language and agentic triage runs with no analyst babysitting; explicit approval gates or human review checkpoints on autonomous response are not detailed. presecurity.ai homepage retrieved 2026-07-08.	Partial
Security, Identity & GovernanceThe product is a security platform, but its own governance posture (certifications, RBAC, tenancy controls for the platform itself) is not detailed on retrieved pages beyond the SecOps capabilities it delivers. presecurity.ai pages retrieved 2026-07-08.	Partial
Observability & AuditabilityMulti dimensional alerts, natural language alert signatures, automated threat hunting and triage with contextual correlation, and SearchGPT natural language investigation across all data give full visibility. presecurity.ai and Cybersecurity Excellence Awards listing retrieved 2026-07-08.	Full
Memory & State PersistenceThe Sept 2025 release introduced a statistical memory layer that captures the natural flow of attacker behavior patterns, producing more accurate and stable predictions; the data fabric learns, remembers, and predicts. PRNewswire Sept 2025 release retrieved 2026-07-08.	Full
Deployment & Data ResidencyThe platform can run in parallel to an existing SIEM stack with no disruption and offers a lightweight Windows EDR agent, implying flexible deployment; explicit self hosting or residency options are not detailed. presecurity.ai homepage and IshanTech page retrieved 2026-07-08.	Partial
Prebuilt Agents, Templates & PacksShips packaged assistants (SOCGPT, SOARGPT, ReportGPT, BREACHGPT) and a MiniSOC package for small teams; a broader template or content marketplace is not documented. presecurity.ai and Cybersecurity Stars Awards page retrieved 2026-07-08.	Partial
Triggers & Channel CoverageContinuous ingestion and generative detections fire on incoming telemetry, predictive analytics flag attack patterns in formation before impact, and SOCGPT supports text and voice interaction. presecurity.ai and presecurity.my retrieved 2026-07-08.	Full
Model Flexibility & RoutingCyberAI is described as a multi model generative AI architecture using multiple models to revolutionize SecOps, implying model diversity internally; customer selectable models or routing are not documented. presecurity.my and IshanTech page retrieved 2026-07-08.	Partial
APIs, SDKs & MCP ExtensibilityAPI connectors are documented for pulling data, and the platform sits in front of or alongside existing stacks, implying interfaces; a formal public API, SDK, or MCP for building on the platform is not detailed. presecurity.ai homepage retrieved 2026-07-08.	Partial
Testing, Debugging & OptimizationBuilt in Breach Attack Simulation and BREACHGPT provide natural language based vulnerability assessment and validation, and Monte Carlo scenario modeling tests predictive outcomes. Cybersecurity Excellence Awards listing and PRNewswire Sept 2025 release retrieved 2026-07-08.	Full
Browser & Computer UseNo browser or computer use capability documented; the platform operates on ingested telemetry and detections. presecurity.ai pages retrieved 2026-07-08.	Unable to verify

Recent platform changes

No recent material changes tracked yet.

View all changes for PRE Security →

Pricing

Contact sales (fixed asset based pricing)

asset based (fixed), not ingestion or storage based

Contact onlyLow variable cost

What is public

The asset based, non ingestion pricing philosophy is publicly stated and is a genuine differentiator versus ingestion priced SIEMs; dollar figures are not public.

Billing mechanics

Fixed pricing keyed to assets rather than ingestion or storage volume; the vendor emphasizes this removes barriers to ingesting all available data.

Cost watchouts

Asset based pricing scales with the number of assets protected rather than data volume, so cost predictability improves but large asset estates raise the base; EDR agent and MiniSOC packaging may price separately.

Variable cost rationale

Fixed asset based pricing is explicitly designed to avoid the volume driven variability of ingestion or storage pricing, so within a defined asset estate the cost is predictable; growth in assets is the main lever.

Additional watchouts

Confirm what counts as an asset and whether EDR endpoints, MiniSOC, and predictive modules are bundled or add ons.

Sales call required

Yes — required for paid access

Free / trial

No free tier documented; can run in parallel to an existing SIEM for low disruption evaluation

Key ambiguities

The pricing model (asset based, fixed) is public but no dollar figures, per asset rates, or tier boundaries are.

Missing data

Per asset rates, tier boundaries, EDR and MiniSOC pricing.

Verified 2026-07-08

Official pricing page

Data confidence: high