What do you want to accomplish with generative AI?
Select one choice
Create a natural language assistant
Empower your SREs with an AI assistant that can answer questions in natural language based on your proprietary IT and business operations data and runbooks.
Build better software
Comprehend log messages and errors. Receive code efficiency tips. Get help writing reports. Identify and execute runbooks. Break down knowledge silos and boost collaboration.
Gain insight with business observability
Don't guess the impact that downtime has on your organization. Investigate how an issue affects your business by consolidating and correlating business and IT data.
YOUR RECOMMENDATIONS
Here's the data you need to make it happen
The key to creating business value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries.
Here are three datasets that you’ll want your LLM to have access to:
Internal organization information
Provide business-level insights on operational issues, like impact on customer sentiment during and after an outage
Banking application data
Reduce time to realize customer impact during incidents and improve service availability
Financial transaction data
Augment existing fraud detection mechanisms and improve the ability to detect anomalies
Here's how generative AI can help you improve operational resilience
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
See how BPCE boost productivity with AIOps
Download the guide
Learn more
Read the story
Industry
Goals
Your recommendations
1
2
3
What do you want to accomplish with generative AI?
Select one choice
Get next-best actions
Empower your analysts with an AI assistant that summarizes alerts, suggests next-best actions, and provides step-by-step workflow guides.
Triage at scale
Cut through hundreds of alerts to find critical threats with a single click. Get results in an intuitive interface so your team can act fast.
Build the case through conversation
Keep the conversation going after a query returns results with an AI assistant that can mantain context. Once satisfied, analysts can easily add findings to a case.
YOUR RECOMMENDATIONS
Here's the data you need to make it happen
Security data
Improve the performance of existing applications, reduce incidents and security attacks, and augment application deployment using application logs and security data
Payment data
Enhance existing fraud detection and mitigation to protect customers and your organization from financial damage
Runbooks and playbooks
Provide a basis for your AI assistant to triage alerts and thwart attacks based on institutional and industry-specific knowledge
Here's how generative AI can help you mitigate security risk
Industry
Goals
Your recommendations
1
2
3
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
The key to creating business value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries.
Here are three datasets that you’ll want your LLM to have access to:
Start driving change at your organization with generative AI
GET STARTED
Industry
Goals
Your recommendations
1
2
3
What do you want to accomplish with generative AI?
Select one choice
Detect fraud and optimize performance
Track customer payments and detect fraud proactively by identifying suspicious patterns and anomalies.
Provide real-time assistance
Supply a retail banking assistant that answers questions in real time and delivers a tailored search experience. Ensure customers always find what they need.
Support your most valuable clients
Deliver real-time, accurate recommendations to wealth managers. Help them double their client capacity while enhancing service quality, just like the world’s largest financial institution.
YOUR RECOMMENDATIONS
Here's the data you need to make it happen
Security data
Improve the performance of existing applications, reduce incidents and security attacks, and augment application deployment using application logs and security data
Payment data
Enhance existing fraud detection and mitigation to protect customers and your organization from financial damage
Runbooks and playbooks
Provide a basis for your AI assistant to triage alerts and thwart attacks based on institutional and industry-specific knowledge
Here’s how generative AI can help you enhance your customers’ experiences
Industry
Goals
Your recommendations
1
2
3
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Start learning more about our innovative AI search experiences
Download the guide
Learn more
The key to creating business value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries.
Here are three datasets that you’ll want your LLM to have access to:
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Download the guide
Industry
Goals
Your recommendations
1
2
3
What do you want to accomplish with generative AI?
Select one choice
Get next-best actions
Empower your analysts with an AI assistant that summarizes alerts, suggests next-best actions, and provides step-by-step workflow guides.
Triage at scale
Cut through hundreds of alerts to find critical threats with a single click. Get results in an intuitive interface so your team can act fast.
Build the case through conversation
Keep the conversation going after a query returns results with an AI assistant that can maintain context. Once satisfied, analysts can easily add findings to a case.
YOUR RECOMMENDATIONS
Activity logs
Automate tasks like analyzing attacks and incident response to speed up resolution times during security incidents using network traffic data and user activity logs
Security data
Improve the performance of existing applications, reduce incidents and security attacks, and augment application deployment using application logs and security data
Runbooks and playbooks
Provide a basis for your AI assistant to triage alerts and thwart attacks based on institutional and industry-specific knowledge
Here's how generative AI can help you mitigate security risk
Industry
Goals
Your recommendations
1
2
3
The key to creating business value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries.
Here are three datasets that you’ll want your LLM to have access to:
Here's the data you need to make it happen
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Discover how Orca uses generative AI to mitigate security risk
Learn more about our AI assistant
Download the guide
Read the story
Learn more
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Download the guide
Industry
Goals
Your recommendations
1
2
3
What do you want to accomplish with generative AI?
Select one choice
Get next-best actions
Empower your analysts with an AI assistant that summarizes alerts, suggests next-best actions, and provides step-by-step workflow guides.
Triage at scale
Cut through hundreds of alerts to find critical threats with a single click. Get results in an intuitive interface so your team can act fast.
Build the case through conversation
Keep the conversation going after a query returns results with an AI assistant that can maintain context. Once satisfied, analysts can easily add findings to a case.
YOUR RECOMMENDATIONS
Activity logs
Automate tasks like analyzing attacks and incident response to speed up resolution times during security incidents using network traffic data and user activity logs
Security data
Improve the performance of existing applications, reduce incidents and security attacks, and augment application deployment using application logs and security data
Runbooks and playbooks
Provide a basis for your AI assistant to triage alerts and thwart attacks based on institutional and industry-specific knowledge
Here's how generative AI can help you mitigate security risk
Industry
Goals
Your recommendations
1
2
3
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
The key to creating business value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries.
Here are three datasets that you’ll want your LLM to have access to:
Here's the data you need to make it happen
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
Industry
Goals
Your recommendations
1
2
3
What do you want to accomplish with generative AI?
Select one choice
Get next-best actions
Empower your analysts with an AI assistant that summarizes alerts, suggests next-best actions, and provides step-by-step workflow guides.
Triage at scale
Cut through hundreds of alerts to find critical threats with a single click. Get results in an intuitive interface so your team can act fast.
Build the case through conversation
Keep the conversation going after a query returns results with an AI assistant that can maintain context. Once satisfied, analysts can easily add findings to a case.
YOUR RECOMMENDATIONS
Activity logs
Automate tasks like analyzing attacks and incident response to speed up resolution times during security incidents using network traffic data and user activity logs
Security data
Improve the performance of existing applications, reduce incidents and security attacks, and augment application deployment using application logs and security data
Runbooks and playbooks
Provide a basis for your AI assistant to triage alerts and thwart attacks based on institutional and industry-specific knowledge
Here's how generative AI can help you mitigate security risk
Industry
Goals
Your recommendations
1
2
3
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
The key to creating business value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries.
Here are three datasets that you’ll want your LLM to have access to:
Here's the data you need to make it happen
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
Industry
Goals
Your recommendations
1
2
3
What do you want to accomplish with generative AI?
Select one choice
Provide customer service at scale
Say goodbye to users filtering through numerous webpages and FAQs. Instead, provide your customers with support and troubleshooting in natural language through a generative AI-powered chatbot.
Personalize product recommendations
Augment your customers' search experiences by providing them with hyper-personalized recommendations for products and services.
Predict supply and demand
Analyze market trends and consumer behavior to optimize inventory, reduce overstock, prevent shortages, and boost profitability and customer satisfaction.
YOUR RECOMMENDATIONS
Customer data
Provide personalized shopping experiences based on transaction history, shopping habits, and customer demographics
Product catalog
Provide your customers with personalized product recommendations to help them make purchase decisions
FAQ and product manual
Make it easy for customers to troubleshoot issues and reduce the need to speak to customer service representatives
Here’s how generative AI can help you enhance your customers’ and employees' experiences
Industry
Goals
Your recommendations
1
2
3
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Start learning more about our innovative AI search experiences
Download the guide
Learn more
The key to creating business value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries.
Here are three datasets that you’ll want your LLM to have access to:
Here's the data you need to make it happen
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Download the guide
Start learning more about our innovative AI search experiences
Learn more
Industry
Goals
Your recommendations
1
2
3
What do you want to accomplish with generative AI?
Select one choice
Get next-best actions
Empower your analysts with an AI assistant that summarizes alerts, suggests next-best actions, and provides step-by-step workflow guides.
Triage at scale
Cut through hundreds of alerts to find critical threats with a single click. Get results in an intuitive interface so your team can act fast.
Build the case through conversation
Keep the conversation going after a query returns results with an AI assistant that can maintain context. Once satisfied, analysts can easily add findings to a case.
YOUR RECOMMENDATIONS
Activity logs
Automate tasks like analyzing attacks and incident response to speed up resolution times during security incidents using network traffic data and user activity logs
Security data
Improve the performance of existing applications, reduce incidents and security attacks, and augment application deployment using application logs and security data
Runbooks and playbooks
Provide a basis for your AI assistant to triage alerts and thwart attacks based on institutional and industry-specific knowledge
Here's how generative AI can help you mitigate security risk
Industry
Goals
Your recommendations
1
2
3
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
The key to creating mission value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries. Here are three datasets that you’ll want your LLM to have access to:
Here's the data you need to make it happen
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
Industry
Goals
Your recommendations
1
2
3
What do you want to accomplish with generative AI?
Select one choice
Get next-best actions
Empower your analysts with an AI assistant that summarizes alerts, suggests next-best actions, and provides step-by-step workflow guides.
Triage at scale
Cut through hundreds of alerts to find critical threats with a single click. Get results in an intuitive interface so your team can act fast.
Build the case through conversation
Keep the conversation going after a query returns results with an AI assistant that can mantain context. Once satisfied, analysts can easily add findings to a case.
YOUR RECOMMENDATIONS
Activity logs
Automate tasks like analyzing attacks and incident response to speed up resolution times during security incidents using network traffic data and user activity logs
Security data
Improve the performance of existing applications, reduce incidents and security attacks, and augment application deployment using application logs and security data
Runbooks and playbooks
Provide a basis for your AI assistant to triage alerts and thwart attacks based on institutional and industry-specific knowledge
Here's how generative AI can help you mitigate security risk
Industry
Goals
Your recommendations
1
2
3
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
The key to creating business value with generative AI is your proprietary data. Without it, your LLM will lack the critical context it needs to generate personalized and valuable outputs for your business.
Using context windows, generative AI can integrate with your data — images, documents, geospatial, IoT, and everything in between — to deliver highly relevant responses based on natural language queries.
Here are three datasets that you’ll want your LLM to have access to:
Here's the data you need to make it happen
Start driving change at your organization with generative AI
GET STARTED
Get the step-by-step guide to implementing generative AI
Learn more about our AI assistant
Download the guide
Learn more
Industry
Goals
Your recommendations
1
2
3
