The broadening distribution of applications and employees away from traditional corporate locations is fueling complexity and creating networking and security challenges. Secure access service edge (SASE) technology can help address these issues, but adoption paths can widely vary.
To learn more about these trends, download the free infographic, Security Services Edge (SSE) Leads the Way to SASE.
In a landscape increasingly defined by data-driven insights and transformative AI, the alliance between Informatica and Amazon Web Services (AWS) has flourished. At AWS re:Invent 2023, Informatica, renowned for enterprise cloud data management, announced a trinity of integrations with AWS, marking another stride in their collaborative journey. This is just one of many “better together stories” we see across the data management industry, which greatly benefits organizations building modern data management platforms to fully empower their business with intelligent data insights to drive faster and better decision-making, competitive advantages, and innovation.
Organizations first need to build the proper data management infrastructure to achieve these results. In our 2023 “State of DataOps: Unleashing the Power of Data” research, we found that 39% of organizations find keeping pace with rapidly evolving technology and tools is one of their top challenges for data management, with 33% ranking the integration of disparate data sources, 32% limited resources and 29% lack of skills. All emphasize the need for solid, forward-thinking partners.
Some of the value brought by Informatica together with AWS in their announcement include these areas:
Strengthening Foundations for AI-powered Solutions
Informatica’s partnership expansion unveils a deeper integration with Amazon Bedrock, a managed service offering access to foundational models for generative AI applications. Leveraging Informatica’s Intelligent Data Management Cloud (IDMC), this integration ensures trusted data provisioning, enriching context for enhanced accuracy in pivotal AI use cases. The comprehensive suite of data management tools within IDMC, from cataloging to governance, amplifies Amazon Bedrock’s capabilities, empowering customers to harness AI’s potential.
Empowering Healthcare Data Management
Another milestone lies in the alignment with AWS HealthLake, a HIPAA-eligible service facilitating secure storage, transformation, and analysis of health data. Informatica’s IDMC, fortified with healthcare-specific accelerators, ensures seamless integration with AWS HealthLake. This synergy not only harmonizes master data but also furnishes a holistic view of healthcare entities. The result? Improved patient engagement, optimized provider networks, and elevated clinical outcomes—all within stringent compliance frameworks.
Redefining Data Lake Access and Governance
Recognized as a Launch Partner for Amazon S3 Access Grants, Informatica continues to innovate in data lake management. This integration addresses the need for streamlined, secure access to data stored in Amazon S3. By merging AI-powered data access management with Cloud Data Marketplace capabilities, Informatica simplifies self-service access while upholding enterprise-scale governance protocols.
A Testament to Mutual Growth
The resonance between Informatica and AWS signifies a commitment to advancing cloud, data, and AI capabilities. This underscores the significance of these integrations in empowering customers, particularly those in regulated industries, to seamlessly manage trusted data, driving intelligent decisions and operational efficiencies.
A Future of Data Transformation
As enterprises strive for agility and innovation, partnerships like the one between Informatica and AWS pave the way for cutting-edge solutions. These integrations exemplify a shared vision: to empower businesses with secure, governed, and actionable data—a fundamental pillar in shaping a data-driven future.
In essence, the amalgamation of Informatica’s robust data management suite with AWS’s scalable infrastructure heralds a new era of possibilities, where data becomes not just a resource but a catalyst for unprecedented growth and innovation.
Modern enterprise complexity is challenging cybersecurity programs. One of the biggest reasons is the broadening distribution of applications and employees away from traditional corporate locations, which is fueling complexity and creating networking and security challenges. Secure access service edge (SASE) technology can help address these issues, but adoption paths can widely vary. Indeed, the breadth of SASE and organizational considerations that must be accounted for when converging networking and security lead to a variety of starting points.
In order to investigate how businesses are faring with adoption plans, the use cases they seek to support, and the technologies they prioritize as part of SASE rollouts, TechTarget’s Enterprise Strategy Group surveyed 390 IT and cybersecurity professionals at organizations in North America (US and Canada) responsible for evaluating, purchasing, and managing network and/or network security technology products and services, specifically security service edge technology and processes.
This study sought to answer the following questions:
Survey participants represented a wide range of industries including manufacturing, technology, financial services, and retail/wholesale. For more details, please see the Research Methodology and Respondent Demographics sections of this report.
The need to accelerate IT operations is perhaps more urgent than ever, as business and other organizational leaders look directly to IT to enable fast business decision-making. The good news is that technology quivers are brimming with tools to support operations acceleration, enabling organizations to speed both insights and outcomes as well as create an effective hybrid cloud ecosystem that is seamless and secure. Infrastructure modernization is evolving quickly, but bumps remain on the road toward cloud-like IT efficiency on premises and effective integration with public cloud infrastructure services.
To determine the current state of infrastructure modernization across the distributed cloud, Enterprise Strategy Group surveyed 377 IT professionals in North America (US and Canada) responsible for evaluating, purchasing, building, and managing application infrastructure in their organization.
This study sought to answer the following questions:
Survey participants represented a wide range of industries, including manufacturing, technology, financial services, and retail/wholesale. For more details, please see the Research Methodology and Respondent Demographics sections of this report.
The level of interest in secure access service edge (SASE) architectures has exploded recently as organizations struggle to use traditional, on-premises-based network and security solutions to support distributed, cloud-centric enterprise environments. While this has been an increasing challenge over the last few years, the pandemic and resulting spike in newly remote workers pushed many organizations to a tipping point when it comes to both security and network traffic. Additionally, the broad applicability of SASE leads to some confusion on where to begin and which technologies are required, exacerbated by legacy organizational dynamics. While Enterprise Strategy Group has seen SASE elevated to a CIO/CISO-led initiative in some cases, inconsistencies remain for many organizations in day-to-day collaboration across network and security teams.
In order to investigate how the network is factoring into SASE adoption plans, TechTarget’s Enterprise Strategy Group surveyed 374 IT and networking professionals at organizations in North America (US and Canada) involved with networking technology and processes, specifically those familiar with both SD-WAN and SASE technologies.
This study sought to answer the following questions:
Survey participants represented a wide range of industries including manufacturing, technology, financial services, and retail/wholesale. For more details, please see the Research Methodology and Respondent Demographics sections of this report.
As cyber-attacks continue unabated, the global population depends upon cybersecurity professionals to protect them from a global army of state-sponsored actors, cyber-criminals, hacktivists, and script kiddies alike. Unfortunately, cybersecurity teams are often understaffed, lacking advanced skills, and working in an environment of constant pressure. To gain further insight into these trends, TechTarget’s Enterprise Strategy Group and the Information Systems Security Association (ISSA) surveyed 301 IT and cybersecurity professionals at organizations all over the world.
This study sought to answer the following questions:
Survey participants represented a wide range of industries including manufacturing, technology, financial services, and retail/wholesale. For more details, please see the Research Methodology and Respondent Demographics sections of this report.
I recently attended Commvault’s Shift event on November 8 in New York City, along with over 200 customers and partners. I am not easily impressed; it comes with the territory of being an industry analyst. Not this time. The company organized an event that marks another strategic turning point for Commvault. This time, it’s about AI. As I wrote in 2020 and the year before, this is no longer the legacy company of a few years ago. It is intent on leapfrogging others in the market—again. Competitors should take close notice.
A few years ago, Commvault redefined itself under the leadership of its then-new (and current) CEO, Sanjay Mirchandani, by making two critical moves: the acquisition of Hedvig and the creation of Commvault Cloud (previously known as Metallic). These significant strategic investments were critical to meet market requirements and competitive pressures at the time and directly positioned the company for today and for what it will be next.
The strategic shift (pun intended) Commvault is operating is the culmination of a multifaceted technology optimization strategy through operational automation, unification, and efficiency at the platform level and a focus on data resilience at scale. These two key areas of operations and resilience were critical in building and evolving the Commvault Cloud offering while preserving the traditional installed base of on-premises and hybrid customers. The company now claims 4,000 customers for its as-a-service offering. That’s an impressive number.
This is happening at a critical time in a market that has shifted from traditional disaster recovery to cyber-recovery or cyber-resilience, a fact that ESG recently researched and confirmed.1 Ransomware fundamentally affects business processes and operations, with significant compliance and financial exposure ramifications. The devastating impacts of repeated and often successful ransomware cyber-attacks have become the new normal, making ransomware an existential threat for many organizations. In our recent research, most respondents recognized that ransomware supersedes all other potential threats. Unfortunately, most are not well prepared to deal with it. Few organizations can successfully restore all of their data.
The other key trend affecting the data-protection space and beyond is the need to simplify and optimize processes and operations at scale. Many IT teams are trying to keep pace with data growth, and our research shows that they also struggle to protect mission-critical applications and deliver on key recovery objectives. Many IT and cloud operations professionals tasked with backup and recovery responsibilities drown in complexity, multiple tools, and inconsistent processes. Combine this with ransomware and you have a perfect storm. This is reflected in extended RPOs and RTOs and heightened business-level risk.
Disaster recovery is crucial to business continuity, especially regarding application and data recovery. Testing is a critical best practice that helps identify potential issues with people, processes, and technology and enables corrective measures to be taken. Regular testing is essential for gauging one’s ability to recover from a disaster. However, many organizations find it too complex and expensive to conduct frequent testing. This can lead to extended intervals between tests, which may cause critical interdependencies between infrastructure and security teams to be overlooked. This is particularly concerning in ransomware attacks, where the need for effective collaboration between teams is paramount. Cost and the lack of skill sets are also significant factors that hinder frequent testing.
Recognizing this fundamental market change, Commvault has made additional strategic platform investments to bring together data protection, security (including SIEM/SOAR ecosystem integrations), intelligence, and recovery with machine learning and AI operationalizing the most complex and error-prone tasks.
On the ransomware front, the platform can help improve recoverability with what the company calls a “cleanroom recovery service,” allowing users to test and detect threats without impacting production. In partnership with Microsoft Azure, the platform uses AI to verify “clean” recovery points and provides a fully ready environment to recover. This is key because hardware microcode or operating systems that make up infrastructure can also be affected by cyber-attacks. So not only does one need a clean recovery point, but one also needs a clean environment to restart.
A few years ago, Commvault made some crucial architectural decisions that are beneficial because they now clearly help differentiate the company. For instance, separating the control plane from the data plane and the storage plane is now paying off since it allows for an any-to-any set of permutations for moving data around for backup and recovery, whether on-premises or in the cloud. Today, most enterprises operate in a hybrid and multi-cloud environment.
Combining testing and recovery capabilities with ecosystem partnerships and integrations, the company is positioning itself as a critical player in the security supply chain without losing its focus on what it does best: data resilience and recoverability. Cloud burst capabilities help address cost at scale by only using compute for a controlled time at a fraction of the cost of a hardware-based approach. This removes the last significant objection to frequent cyber-resilience testing or recovery testing.
Commvault recognizes that it is not a security company but a data-resilience platform company, one that is part of an ecosystem in which security technology players provide part of the broader solution.
Over the past few months, I’ve noticed a company that’s less timid and more assertive. They are not afraid to take on their competitors and are doing so effectively with clear and precise messaging. The marketing team has executed its strategy well, and I believe that this same team will be the driving force behind the success of recent announcements, which will go beyond just the technological aspect.
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