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Crest Data’s AI-native Product Suite

Precision-Engineered AI Products for Enterprises

AI-native Product

Neuwave is an AI-native product suite

designed to accelerate integrations, migrations, and operations across security, observability, and cloud environments.

Designed for enterprises and technology innovators, Neuwave addresses fragmented data, legacy platform debt, and operational inefficiencies. From building scalable integration fabrics and optimizing data pipelines to seamlessly migrating from legacy SIEM and observability platforms, Neuwave enables faster, cost-efficient modernization.

With AI-native intelligence at its core, Neuwave enables autonomous security and infrastructure operations, turning alerts into insights and actions. This results in streamlined operations, reduced cost and complexity, and accelerated time-to-value at enterprise scale.

Aligned with Crest Data’s approach to modern vulnerability management, Neuwave enables organizations to move from reactive operations to AI-native, autonomous security.

Why Enterprises Choose Neuwave AI-native Products

Built on 5,000+ SME-developed integrations, ensuring deep domain intelligence and reliability

Reduce integration build time by up to 80%, delivering production-ready outputs in hours

Cut manual effort by 60% across migrations and operations workflows

Achieve 90% accuracy with automated validation and closed-loop refinement

AI-driven orchestration of integrations, migrations, and incident workflows at scale

Seamless support across leading platforms like Splunk, Datadog, Elastic, AWS, and Google SecOps

 

Our AI-native Product Suite

Integration Fabric

Integration Fabric

There are 100s of ISVs who have built a marketplace with 100 to 3,000 integrations within the cybersecurity and observability segment. Each vendor has a different onboarding mechanism, data schema, and visualization framework. Crest Data built an Agentic AI-powered platform to improve how security and observability integrations are built and deployed. The product replaces weeks of manual development with an orchestrated multi-agent pipeline that delivers production-ready integrations in hours, dramatically reducing cost and accelerating time-to-market.

Powered by a knowledge base built after building 5,000+ SME-developed integrations, the platform automatically generates high-fidelity connectors, parsers for all industry-leading schemas (OCSF, UDM, CIM, ECS, ASIM), detection rules and dashboard content.

The product’s closed-loop refinement engine continuously audits and improves generated code against platform best practices and automated tests, ensuring reliability and enterprise-grade quality with over 90% accuracy. This reduced the time to build a complete integration by 80%. Integration Fabric enables organizations and partners to create high-quality ecosystem marketplace rapidly.

Migrations

Migrations

Security Information and Event Management (SIEM), Observability, and Application Performance Management (APM) is a highly competitive space. The products constantly leapfrog each other and as a result customers are presented with significantly better value proposition at a competitive price every time they renew their license. But the migration from one product to another is tedious, cumbersome and carries significant risk that it deters customers from migrating to a better product.

Crest Data’s Agentic AI Migration product works at an enterprise-grade; its agentic AI-powered platform is designed to accelerate and de-risk migrations from legacy to modern security and observability platforms. By orchestrating specialized AI agents, the platform automates the complex translation and migration of critical assets such as dashboards, alerts, queries, and detection rules across ecosystems. The customer has the flexibility to migrate from Splunk, Elastic, New Relic, Dynatrace, Datadog, and AWS Cloudwatch to other platforms.

The platform significantly reduces the manual effort by over 60% over traditional methods. There is an AI-based inbuilt validation engine that intelligently verifies that the constructs are recreated correctly and it automatically generates assets for the target environment.

Built for modern multi-cloud environments, Agentic AI Migrations enables organizations to modernize monitoring and security operations across platforms such as AWS and Google SecOps while maintaining operational continuity.

Security Operations

Security Operations

Security Operations is an AI-led platform built to improve the speed, accuracy, and scalability of security alert and incident triage.

Popular SIEM and security analytics platforms such as Splunk, QRadar, Elastic, Sumo Logic, and Google SecOps identify incident sources across infrastructure and applications. Neuwave leverages AI-native intelligence to analyze alerts, map them to MITRE ATT&CK tactics, and generate structured investigation workflows aligned to organizational SOPs. The platform executes automated investigations, prioritizes incidents, and classifies outcomes, reducing analyst workload while surfacing critical threats faster. It also delivers automated reports, centralized audit trails, and real-time SOC performance metrics, including MTTR, MTTD, and dwell time.

In an era where vulnerability discovery is accelerating with AI models like Mythos, the challenge is no longer detection; it’s operational readiness. Neuwave Security Operations, an AI-native cybersecurity platform, extends Crest Data’s approach to Mythos by enabling organizations to prioritize, investigate, and remediate risks at machine speed.

Run a Mythos Readiness Check with Us

Infra Operations

Infra Operations

Infra Operations is an Agentic AI-powered platform designed to accelerate triage and resolution of infrastructure and application alerts across modern observability environments. By orchestrating specialized AI agents, the platform analyzes alerts from popular observability products such as Datadog, Dynatrace, New Relic, Splunk, Elastic, and others, identifying whether incidents originate from infrastructure, application, or other operational domains.

The system generates dynamic investigation workflows by analyzing alert trigger metrics, historical incident patterns, and organization-defined SOPs. These workflows execute automated diagnostic steps, classify outcomes such as false positive, benign, true incident, or requiring escalation and continuously reprioritize alerts based on real-time context.

Automated investigation reports, centralized incident records, and governance-ready documentation provide a reliable system of record for operations teams. Integrated dashboards track critical SRE metrics such as MTTR, MTTD, incident backlog, and SLI/SLO performance.

CASE STUDIES

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