SAP SE today announced key data innovations and partnerships that give customers access to mission-critical data, enabling faster time to insights and better business decision-making. SAP announced SAP Datasphere solution, the next generation of its data management portfolio, which give customers easy access to business-ready data across the data landscape. SAP also introduced strategic partnerships with industry-leading data and AI companies – Collibra NV, Confluent Inc., Databricks Inc. and DataRobot Inc. – to enrich SAP Datasphere and allow organizations to create a unified data architecture that securely combines SAP software data and non-SAP data.
Until today, accessing and using data located in disparate systems and locations – across cloud providers, data vendors and on-premise systems – has been a complex challenge. Customers have had to extract data from original sources and export it to a central location, losing critical business context along the way and recapturing it only through ongoing, dedicated IT projects and manual effort. With today’s announcements, SAP Datasphere helps eliminate this hidden data tax, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact.
SAP Datasphere
Available today, SAP Datasphere is the next generation of the SAP Data Warehouse Cloud solution. It enables data professionals to deliver scalable access to mission-critical business data. With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation and data virtualization, SAP Datasphere enables data professionals to help distribute mission-critical business data – with business context and logic preserved – across their organization’s data landscape. SAP Datasphere is built on SAP Business Technology Platform (SAP BTP), which includes strong enterprise security capabilities, such as database security, encryption and governance.
No additional steps or migrations are required for existing customers of SAP Data Warehouse Cloud, who will benefit from new SAP Datasphere functionality in their product environment. New functionality includes data cataloging that automatically discovers, manages and governs data; simplified data replication to deliver data and its constant updates in real-time; and enhanced data modeling that preserves the rich business context of data in SAP applications. Additional application integration capabilities that link data and metadata from cloud solutions from SAP to SAP Datasphere are planned.
Messer Americas, a leading industrial and medical gas company in North and South America, needed simple and secure access to data from SAP and non-SAP solutions within the company to strengthen data-driven decision-making and free up IT resources to focus on other strategic tasks. With SAP Datasphere, Messer Americas was able to build a modern data architecture that maintained the context of its enterprise data.
Strategic Partnerships
SAP and its new open-data partners will help hundreds of millions of users across the world make informed business-critical decisions rooted in massive amounts of data. SAP’s strategic partners provide the unique strengths of their ecosystems and enable customers to combine all their data like never before.
Initial partners include:
- Collibra plans to have a tailored integration with SAP, enabling customers to achieve an enterprise governance strategy by building a complete data catalog with lineage across their entire data landscape – both SAP and non-SAP data. Collibra makes trusted data discoverable across any organization.
- Confluent plans to connect its data streaming platform, empowering companies to unlock valuable business data and connect it with external applications in real time. Confluent’s cloud-native offering is the foundational platform for data in motion – permitting the uninhibited flow of real-time data from various sources across an organization.
- Databricks customers can integrate their Data Lakehouse with SAP software so data can be shared with semantics preserved, helping customers simplify their data landscape.
- DataRobot enables customers to leverage multimodal automated machine learning capabilities on top of SAP Datasphere and bring it directly into their business data fabric on whichever cloud platform it resides.
For more information, visit the Announcement Blog.
“Tool Bloat” Slows Cloud Threat Resolution Time: Palo Alto Networks
Posted in Commentary with tags Palo Alto on March 8, 2023 by itnerdAccording to a survey conducted by Palo Alto Networks, 39% of global organizations reported a surge in breaches over the past year. The security vendor polled over 2500 respondents in the US, Australia, Germany, France, Japan, Singapore and the UK:
Part of the challenge appears to be the complexity of their cloud security environments – partly caused by tool bloat.
A previous Palo Alto study revealed that organizations rely on over 30 tools for security, including 6–10 cloud security products.
I have two comments on this. The first is from Dave Ratner, CEO at HYAS:
“The growing complexity of cloud environments, whether it is hybrid cloud, multi-cloud, or simply a growing infrastructure, means that it’s easy to lose the visibility of what’s actually going on inside the environment. Without the proper visibility, it’s increasingly difficult to ensure proper controls, which provides great opportunities for bad actors to hide without being seen, communicate with their command-and-control for instructions and data exfiltration without being detected, and otherwise perform nefarious actions at will.
“What’s required is the proper level of visibility and observability into the environments to detect, in real-time, any and all anomalous communications — only then can organizations actually enforce their controls, cut down on the mean-time to detect anomalous communications, and shine a light on the bad actors’ hiding spots.
“While this visibility may have been performed in the past through deep packet inspection or other mechanisms, the growth and complexity of the cloud environments makes that nearly impossible at scale; nevertheless, organizations which monitor and track their DNS traffic can actually address this problem in a light-weight, easy to deploy, easy to manage, and inexpensive to operate manner. This allows organizations to shift left, move into a true business resiliency and business continuity program, detecting and shutting down anomalies in the network before they become significant breaches and issues.”
Bryson Bort, Founder and CEO at SCYTHE follows up with this:
“A threat can only hack what they can touch: surface area is the technical range of this. The more code (software) with the more features accessible (beware default configurations!), the more opportunities you have provided a potential threat. A large percentage of software is installed with the default configurations (this is now part of the threat’s text matrix for their attacks) or sub-optimally configured (likely increasing risk).
“First step, which takes a just few minutes: map all of your tools by category of what they defend (assets, users, etc) against the NIST CSF defensive phases: Identify (Configuration Management), Protect, Detect, Respond, and Recover. Now you know what’s generally covered and you’ve identified overlap where you are over-exposed. Now, make the tools work for you! Invest in validating your assumptions (does this block/see what I think it does?) and optimizing how they’re configured.
“Security is defined by the threat, so a Continuous Threat and Exposure Management approach is the best practice by driving real threat behaviors safely in your environment and continuously so it’s helping you adapt to the rate of change of your business.”
The complexity of managing cloud environments has clearly become the next battleground between threat actors and those who defend against them. Hopefully those who are on the side of the good guys read reports like these and take action to prevent bad things from happening to them.
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