APPLICATION INFRASTRUCTURE, DATA STORAGE, IT SYSTEMS MANAGEMENT
IronNet, Inc. | September 30, 2022
IronNet, Inc., an innovative leader Transforming Cybersecurity Through Collective DefenseSM, has launched IronRadarSM, a new solution designed to proactively and automatically update customers’ cybersecurity tools with malicious indicators for adversary infrastructure.
Developed by IronNet’s team of elite threat hunters, IronRadar uses an innovative process that fingerprints a server and determines whether it is a command and control (C2) server while those servers are being stood up, even before a cyber attack is initiated. IronRadar enriches the data creating purpose-built intelligence updates for proactively blocking adversarial infrastructure, and was observed to have 98% accuracy over six months of testing.
“We know that Cobalt Strike and other open-source tools provide the framework for legitimate ‘red team’ activities. “Unfortunately, open-source tools are being used by advanced persistent threat groups to gain access to systems, establish C2, and launch attacks. Thanks to our innovative and dedicated CyOC team, IronRadar can identify threats as new adversarial infrastructure servers appear and before they can be used in sophisticated cyber attacks.”
Don Closser, Chief Product Officer of IronNet
IronRadar is now available for all networks beyond the IronNet Collective DefenseSM platform community as an annual subscription – sold directly from the Amazon Web Services (AWS) Marketplace makes it cost effective and easy to buy and scale. Once installed, customers can easily upgrade to join the Collective Defense community at any time.
“Detecting weaponized C2 servers before they connect to a network and inflict damage like ransomware and eCrimes is a daunting challenge for all organizations,” said Christopher Kissel, Research Vice President of Security and Trust Products, at IDC. “The launch of the purpose-built threat intelligence feed from IronNet is a game changer because it proactively blocks known, new, and unreported C2 infrastructures.”
IronRadar is the only existing automated threat intelligence feed developed specifically to combat C2 behavior. This easy-to-use tool enables a customer’s SOC to:
Actively block known C2 and emerging threat C2 IoCs.
Integrate real-time threat intelligence into any security solution – SIEM, SOAR, Incident Response, and more.
Accelerate threat response by exposing the adversaries and evolving tradecraft targeting infrastructure.
IronRadar integrates seamlessly with the IronNet Collective Defense platform, powered by AWS, which is the only solution that can identify anomalous behaviors and deliver actionable attack intelligence to all the other participants in the IronNet community. The Collective Defense platform serves as an early warning system for all participating companies and organizations, strengthening network security through correlated alerts, automated triage, and extended hunt support.
About IronNet, Inc.
Founded in 2014 by GEN Keith Alexander, IronNet, Inc. is a global cybersecurity leader that is transforming how organizations secure their networks by delivering the first-ever Collective Defense platform operating at scale. Employing a number of former NSA cybersecurity operators with offensive and defensive cyber experience, IronNet integrates deep tradecraft knowledge into its industry-leading products to solve the most challenging cyber problems facing the world today.
HYPER-CONVERGED INFRASTRUCTURE,APPLICATION INFRASTRUCTURE,IT SYSTEMS MANAGEMENT
CoreWeave | November 07, 2022
CoreWeave, a specialized cloud provider built for large-scale GPU-accelerated workloads, today announced it is among the first to offer cloud instances with NVIDIA HGX H100 supercomputing. CoreWeave, Amazon, Google, Microsoft and Oracle are the first cloud providers included in the launch of this groundbreaking AI platform. CoreWeave was the first Elite Cloud Service Provider for Compute in the NVIDIA Partner Network (NPN) and is also among the NPN’s Elite Cloud Service Providers for Visualization.
“This validates what we’re building and where we’re heading,” said Michael Intrator, CoreWeave co-founder and CEO. “CoreWeave’s success will continue to be driven by our commitment to making GPU-accelerated compute available to startup and enterprise clients alike. Investing in the NVIDIA HGX H100 platform allows us to expand that commitment, and our pricing model makes us the ideal partner for any companies looking to run large-scale, GPU-accelerated AI workloads.”
NVIDIA’s ecosystem and platform are the industry standard for AI. The NVIDIA HGX H100 platform allows a leap forward in the breadth and scope of AI work businesses can now tackle. The NVIDIA HGX H100 enables up to seven times better efficiency in high-performance computing (HPC) applications, up to nine times faster AI training on the largest models and up to 30 times faster AI inference than the NVIDIA HGX A100. That speed, combined with the lowest NVIDIA GPUDirect network latency in the market with the NVIDIA Quantum-2 InfiniBand platform, reduces the training time of AI models to “days or hours instead of months.” Such technology is critical now that AI has permeated every industry.
“AI and HPC workloads require a powerful infrastructure that delivers cost-effective performance and scale to meet the needs of today’s most demanding workloads and applications. “CoreWeave’s new offering of instances featuring NVIDIA HGX H100 supercomputers will enable customers the flexibility and performance needed to power large-scale HPC applications.”
Dave Salvator, director of product marketing at NVIDIA
In the same way that drivers of fuel-efficient cars save money on gas, CoreWeave clients spend between 50% to 80% less on compute resources. The company’s performance-adjusted cost structure is two-fold. First, clients only pay for the HPC resources they use, and CoreWeave cloud instances are highly configurable. Second, CoreWeave’s Kubernetes-native infrastructure and networking architecture produce performance advantages, including industry-leading spin-up times and responsive auto-scaling capabilities that allow clients to use compute more efficiently. CoreWeave competitors charge for idle compute capacity to maintain access to GPUs and use legacy-networking products that degrade performance with scale.
“CoreWeave’s infrastructure is purpose-built for large-scale GPU-accelerated workloads — we specialize in serving the most demanding AI and machine learning applications,” said Brian Venturo, CoreWeave co-founder and chief technology officer. “We empower our clients to create world-changing technology by delivering practical access to high-performance compute at scale, on top of the industry’s fastest and most flexible infrastructure.”
CoreWeave leverages a range of open-source Kubernetes projects, integrates with best-in-class technologies such as Determined.AI and offers support for open-source AI models including Stable Diffusion, GPT-NeoX-20B and BLOOM as part of its mission to lead the world in AI and machine learning infrastructure.
Founded in 2017, CoreWeave provides fast, flexible, and highly available GPU compute resources that are up to 35 times faster and 80% less expensive than large, generalized public clouds. An Elite Cloud Service Provider for Compute and Visualization in the NPN, CoreWeave offers cloud services for compute-intensive projects, including AI, machine learning, visual effects and rendering, batch processing and pixel streaming. CoreWeave’s infrastructure is purpose-built for burstable workloads, with the ability to scale up or down in seconds.
CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure. CoreWeave builds cloud solutions for compute intensive use cases — digital assets, VFX and rendering, machine learning and AI, batch processing and pixel streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
HYPER-CONVERGED INFRASTRUCTURE, APPLICATION INFRASTRUCTURE, IT SYSTEMS MANAGEMENT
Fluree | September 22, 2022
Fluree, a company headquartered in Winston-Salem, North Carolina, which has developed a distributed ledger graph database platform, and New Jersey-based ZettaLabs, a business that uses artificial intelligence and machine learning to prepare raw data for analytics use, today announced the merger of the two companies.
The combination of Fluree and ZettaLabs will enable Fluree to expand its offerings beyond its established expertise of working with “green-field,” new data-centric initiatives that encompass bleeding-edge innovation. With ZettaLabs now part of Fluree, the company possesses the prowess to tackle enterprise legacy data architectures and take the first steps toward modernization. All ZettaLabs employees will integrate into the Fluree ecosystem, bringing Fluree’s total headcount to 50.
“At Fluree, we are building the data infrastructure for the future,” said Brian Platz, Fluree co-founder and CEO. “While many of our customers enjoy the unique benefits of our semantic graph distributed ledger database technology, we recognize that organizations first need a way out of their entrenched silos in order to build their end-goal infrastructures. Dealing with legacy infrastructure is one of the biggest challenges for modern businesses, but nearly 74% of organizations are failing to complete legacy data migration projects today due to inefficient tooling and a lack of interoperability. By adding the ZettaLabs team and product suite to our own, Fluree is poised to help organizations on their data infrastructure transformation journeys by uniquely addressing all major aspects of migration and integration: security, governance and semantic interoperability.”
ZettaSense has been rebranded as Fluree Sense. The data pipeline that uses AI and machine learning, as well as ontologies, to normalize, cleanse and harmonize data from disparate data sources that need to be integrated in a way that eliminates any requirement for additional data governance, master data management or data quality software. Fluree Sense makes data in existing legacy databases, data warehouses and data lakes ready for downstream enterprise consumption and sharing, whether in analytic repositories like Snowflake or Databricks, or Fluree’s immutable knowledge graph database.
“We developed our flagship product, ZettaSense, to ingest, classify, resolve and cleanse big data coming from a variety of sources. who will become Fluree’s president. “The problem is that the underlying data technical architecture -- with multiple operational data stores, warehouses and lakes, now spreading out across multiple clouds -- is continuing to grow in complexity. Now with Fluree, our shared customer base and any new customers can evolve to a modern and elegant data-centric infrastructure that will allow them to more efficiently and effectively share cleansed data both inside and outside its organizational borders."
Eliud Polanco, co-founder and CEO of ZettaLabs
The merger, the first in Fluree’s history, makes Fluree a go-to company for roughly 90% of businesses hindered by legacy infrastructure and database systems that do not have the toolset or talent to undergo an effective transformation. It also augments Fluree’s customer base, which now includes large, enterprise financial-services customers.
Use cases for Fluree Sense include:
Legacy data migrations that cleanse and harmonize data from multiple sources to enable migration from a legacy enterprise business platform to a target digital platform;
Customer data integrations that integrate customer, account, product and transaction data from across multiple data sources into a single golden 360-degree customer record;
Consent management that enables active customer consent and control of how data is shared across products, regions and business functions within an organization; and,
Cross-border data residency that allows secure sharing of information across borders adhering to the various national data-privacy regulations using multi-party computation.
“We don’t have a lack of data today — we have a lack of high-quality data,” said Peter Serenita, retired Chief Data Officer and current chairman of the New York City-headquartered nonprofit organization Enterprise Data Management Council. “This is why it is essential for enterprises to take a data-centric approach to their modernization initiatives in order to truly transform their legacy infrastructure and eliminate their data silos for good. Joining forces with the ZettaLabs team and product will allow Fluree to continue its mission of turning big data into better data for sustainable business outcomes.”
While Fluree currently serves the existing enterprise data management market as an innovative database solution, it is mostly for new data projects that have identified a specific requirement for data trust, integrity, sharing or security. The merger with ZettaLabs enables Fluree to provide value to all enterprise data teams looking to get a handle on their legacy infrastructure and modernize their platforms to satisfy increasingly complex business goals. Fluree now has a full spectrum of data management capabilities for organizations — from the first step of integrating and migrating legacy system data infrastructure with ZettaLabs’ technology to building modernized operational and analytical data infrastructure atop Fluree’s database system.
“Fluree’s merger with ZettaLabs is directly in line with Fluree’s vision to deliver data-centric capabilities to modernize enterprise data abilities,” said Dan Malven, managing director of 4490 Ventures, a Madison-based venture capital firm and Fluree lead investor. “Enterprises seeking data-centric architectures now not only have a landing place with Fluree’s core ledger graph database technology, but also now a starting point for their legacy infrastructure to onboard their data management into data centricity.”
Co-founded in 2016 by CEO Brian Platz and Executive Chairman Flip Filipowski, Fluree PBC is headquartered in Winston-Salem, North Carolina. Fluree is pioneering a data-first technology approach with its data management platform. It guarantees data integrity, facilitates secure data sharing and powers data-driven insights. The Fluree platform organizes blockchain-secured data in a scalable semantic graph database — establishing a foundational layer of trusted data for connected and secure data ecosystems. The company’s foundation is a set of W3C semantic web standards that facilitate trusted data interoperability. Fluree currently employs 50.