Technology & SoftwareMachine LearningPublic Cloud

Netacea Strengthens Cyber Defense With AI

NetaceaDatabricks

Netacea protects global enterprises from malicious bot traffic with the Databricks Data + AI Platform. By consolidating siloed systems into one unified environment, Netacea scaled to ingest up to 150,000 requests per second, 50 times faster than before. Databricks powers real-time threat detection, enabling defensive AI that responds instantly to emerging cyberattacks.

Overview

Netacea protects global enterprises from malicious bot traffic with the Databricks Data + AI Platform. By consolidating siloed systems into one unified environment, Netacea scaled to ingest up to 150,000 requests per second, 50 times faster than before. Databricks powers real-time threat detection, enabling defensive AI that responds instantly to emerging cyberattacks.

This entry has 14 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

Netacea needed to protect global enterprises from malicious bot traffic, but siloed systems limited its ability to ingest and respond to attack traffic at the scale and speed modern threats require.

The solution

Netacea consolidated siloed systems into one unified environment on the Databricks Data + AI Platform, scaling to ingest up to 150,000 requests per second. Databricks powers real-time threat detection, enabling defensive AI that responds instantly to emerging cyberattacks.

Machine Learning

Reported business value

Netacea scaled to ingest up to 150,000 requests per second — 50 times faster than before — and now accelerates product innovation, strengthens protection, and delivers safer digital experiences.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other technology & software entries in the register.

All entries
Technology & SoftwareRecommendation & PersonalizationPublic Cloud

HP crafts marketing campaigns that resonate with customers using Databricks and Uniphore

HP centralized first-party customer data on the Databricks Data + AI Platform with Delta Lake and Unity Catalog, and connected it to Uniphore's HybridCompute for federated query pushdown, cutting campaign setup from 2 weeks to 2 hours and processing 400 million records in seconds.

96/100HighPrimary source
HPDelta Lake · Unity Catalog
Technology & SoftwarePredictive AnalyticsUnknown

Transforming Weather Forecasting with Lakeflow Jobs

AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.

92/100HighPrimary source
AccuWeatherLakeflow Jobs · Delta Sharing · Datadog
Technology & SoftwareRecommendation & PersonalizationPublic Cloud

Adobe brings creativity to life with Databricks

Adobe uses the Databricks Data + AI Platform for end-to-end data management that unifies all data and AI at scale, with 20% faster performance. Databricks equips over 92 teams at Adobe to unify data from financials, sales, products, customers and employees so they can drive personalized experiences across Adobe's digital platforms with AI.

92/100HighPrimary source
Adobe
Technology & SoftwareAgentic AIPublic Cloud

Supermetrics: Helping Marketers Redefine Efficiency with AI-Powered Data Analysis

Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.

96/100HighPrimary source
Supermetrics· FinlandGoogle Cloud · Vertex AI Agent Builder · Agent Development Kit (ADK) +1

Was this helpful?

Your feedback helps us improve our use case database