Still Using On-Prem? It’s Time to Cut the Cord
Deploy the industry’s leading data mining AI anytime, anywhere with Canopy’s cloud-native software.
Explore Canopy's AI-Powered PII Detection
Download our brochure to learn more.
See Canopy In Action
Canopy's Data Breach Response software leverages machine learning at every step, from PII detection through to generating a notification list.
Discover the Freedom of the Cloud
Begin working on a new project in a new tenant within hours thanks to Canopy’s cloud-native architecture and global customer support team.
Store Data in 25+ Countries
With in-country and in-region tenant hosting, you can investigate cyber incidents across the globe while maintaining data sovereignty and ensuring that your clients comply with data residency regulations.
Efficiently Scale Your Services
Expand to new regions within hours and handle projects of any size, from a few GBs to multi-TBs, without worrying about server capacity or storage space.
Safeguard Client Data
Organizations recovering from a cyber attack are particularly vulnerable. With our ISO 27001 certification and strict adherence to security best practices, you can trust that your clients’ data is in safe hands.
Canopy Offers the Best of All Worlds
Improved Accuracy
Faster Resolution
Forget about jumbled spreadsheets and SQL queries. With automatic deduplication & merging suggestions, Canopy takes the heavy lifting out of compiling your final notification list.
Lower Costs
Improved efficiency & advanced automation add up to millions saved on cyber claims per year, which also leads to lower premiums for insureds over time.
Frequently Asked Questions
What makes Canopy's data mining software cloud-native?
Canopy is built from the ground up to leverage containerization in the Amazon Web Services (AWS) ecosystem, allowing for seamless scaling and high availability across any cloud environment without the limitations of legacy on-premise software.
What is the difference between on-premises, hybrid, and cloud-native software?
On-premises (on-prem) software runs on servers that you own and manage, while cloud-native software is built for cloud computing environments, offering flexibility, scalability, and automatic updates without physical infrastructure. Hybrid software runs on a combination of on-prem and cloud servers.
As society becomes more cloud-integrated, entirely on-prem software is increasingly rare, and many that claim to be on-prem today are actually hybrid solutions.
Is cloud-native software better than on-premises for data mining?
Yes, cloud-native software is often a better fit for incident response data mining because it offers faster deployment, easier scalability, and compliance with data residency regulations.
Cloud-native software’s lower upfront costs also removes a barrier to entry for new providers compared to traditional on-premises solutions, allowing for a more competitive marketplace for breached organizations and their cyber insurers.
What are the pros and cons of on-premises vs. cloud-native data mining tools?
Cloud-native tools offer seamless scalability, enhanced processing power, and less maintenance, while on-premises tools provide full control. However, on-prem requires more IT resources, a bigger upfront investment, and geographic limitations.
Why are companies switching from on-premises to cloud-native software?
Cyber incidents are growing at a rapid rate, both in frequency and in size, all over the world. At the same time, cyber insurers are becoming more concerned about the cost of cyber claims. Data mining providers need the flexibility, scalability, and affordability of cloud-native software to keep up.
Which is more cost-effective: on-premises or cloud-native data mining software?
When comparing the cost of on-premises versus cloud-native software, think of it as owning versus renting a home. On-prem comes with a higher upfront cost and ongoing maintenance responsibilities, making it often cost-prohibitive for newer companies or firms wanting to dip their toe in incident response data mining. Comparatively, cloud-native technology has a lower upfront cost, and the cloud and software providers handle maintenance and upgrades.
In short: cloud-native solutions’ low initial costs and long-term convenience are unmatched.
Is cloud-native data mining secure?
With the right provider, yes. Security is a shared responsibility between a cloud provider and its customer.
Canopy runs on AWS, which is known as the gold standard for cybersecurity among cloud providers. Canopy’s cloud-native technology is further backed by industry-best security standards, including ISO 27001 certification, advanced encryption, and access controls.
Can cloud-native software handle large-scale data mining projects?
Absolutely. This is a key advantage of cloud-native platforms: they are designed to scale, making them ideal for processing and analyzing large datasets without performance bottlenecks. Whether you are investigating a dataset that is a few GBs or multi-TBs in size, Canopy is the right tool for the job.
What should I consider when choosing between on-premises and cloud-native solutions for data mining?
Consider scalability, cost, security, regulatory requirements, integration needs, and how quickly you need to deploy. Cloud-native options usually win in speed, flexibility, and cost savings while offering rigorous security infrastructure, too.
Discover the Purpose-Built Difference
With Canopy’s patented AI and machine learning technology, incident response teams can data mine faster and more accurately, aiding compliance with breach notification regulations and saving clients money on their total project cost.