PR Newswire | October 30, 2023
Darktrace, a global leader in cyber security AI, today unveiled a new Darktrace/Cloud solution based on its unique Self-Learning AI. The new solution provides comprehensive visibility of cloud architectures, real-time cloud-native threat detection and response, and prioritized recommendations and actions to help security teams manage misconfigurations and strengthen compliance. When combined with insight from Darktrace solutions for network, email, apps, zero trust and endpoint, Darktrace/Cloud provides a deeper, contextualized understanding of the risks and threats currently facing an organization's digital estate.
According to a recent report, "Gartner anticipates over 99 percent of cloud breaches will be based on a customer error, account takeover or misconfiguration until 2027". Cloud environments are constantly evolving so security professionals need to increase the level of visibility while keeping up with changing compliance, risk and security requirements. The rise of cloud-native technologies including containers, Kubernetes and microservices also require new tools and techniques for detecting and responding to known and novel threats.
Unlike static cloud security tools that provide snapshots of a specific point in time, Darktrace/Cloud is real-time, all the time. Our Self-Learning AI continuously learns patterns between workloads, assets, policy configurations and identities to provide a dynamic view of cloud architectures. We analyze the entire cloud stack from data to control plane, combining an understanding of architecture and network with a new flexible, scalable deployment model, said Jack Stockdale, Chief Technology Officer, Darktrace. Our innovative approach to cloud security is built on more than a decade of leadership in Cyber AI that is already protecting our customers' critical business areas from network and email to operational technology.
Available today, the new capabilities in Darktrace/Cloud include:
Comprehensive visibility and architecture modelingfor insights into the constantly changing nature of cloud environments. This visibility is constructed dynamically from configuration, network, users and identity and access management (IAM) data. Darktrace establishes patterns of life for cloud resources, identities, and services to understand who has access to what and how. This is critical for detecting anomalies and unknown threats.
Universal attack path modelingprovides a dynamic view of where attackers may look to move next. Darktrace brings together real-time cloud data and a deep understanding of your cloud environment with a platform approach that provides insights about risks from other covered areas of the business (e.g., network, email) to highlight potential attack paths and prioritize important assets to secure.
Unique real-time and cloud-native threat detection and responsethat provides a dynamic view of known and novel threats within the cloud. Darktrace combines deep cloud attack path knowledge with real-time anomaly and threat detection through cloud-native autonomous response actions, such as detaching a policy from a user or removing a workload from a security group.
Prioritized cloud posture managementthat starts by examining cloud configurations against common compliance frameworks. Where misconfigurations are detected, Darktrace provides a prioritized view of what to fix first, based on a risk profile generated from security and business context. Guided steps can be provided to help teams proactively address these before they become a significant issue.
Cost discoveryto provide a better understanding of cloud resource allocation. This helps teams contextualize their cloud resources according to security and business priorities.
Communication and collaboration capabilitiesto streamline workflows between security teams and DevOps teams. Tickets can be created on demand, teams can communicate directly via messaging platforms, and alerts and anomaly detections can be sent to Security Information & Event Management (SIEM) or Security Orchestration, Automation and Response (SOAR) products and the Darktrace Mobile app so they can be alerted on the go.
Flexible deployment optionsinclude an agentless deployment by default so organizations can be up and running in minutes. Teams can use the dynamic architectural view and risk context to decide where to deploy agents for enhanced real-time actions and deeper inspection.
Sykes Cottages, a cloud-native travel agency platform in the UK, has experienced significant growth in the last five years and has relied on the cloud to help them scale throughout this period.
"When it comes to cybersecurity, having visibility and an understanding of what you've got and your risks is critical. If I don't know it's there, I can't protect it," said Jonny Mattey, Head of Cybersecurity, Sykes Cottages. "Having a holistic, live view of our cloud environment enables us to work pragmatically and use AI to cut down management time so that we can address security risks and improve our resilience."
The new Darktrace/Cloud solution is now available on Amazon Web Services (AWS) through the AWS Marketplace, a curated digital catalog that makes it easy for customers to find, buy, deploy, and manage the third-party software they need to build solutions and run their business. Darktrace and AWS have been collaborating since 2017 to help organizations secure their AWS environments. Darktrace protects AWS environments for organizations around the world including Sunwest Bank and ProPhase Labs. Darktrace is an AWS Security Competency Partner and is part of the AWS ISV Accelerate program.
"Security is job zero at AWS," said Paddy Fitzpatrick, Director – Independent Software Vendors, UK & Ireland at Amazon Web Services. "As the threat landscape continues to evolve, the availability of AI-based tools like Darktrace/Cloud on the AWS Marketplace will help customers to gain increased visibility, and respond more effectively to security risks and threats."
Darktrace first extended its Cyber AI capabilities to cloud environments in 2016, applying its world class algorithms to granular network traffic. Darktrace/Cloud was recently named Cloud Security Product of the Year for Large Enterprises by Computing Magazine in its 2023 Cloud Excellence Awards.
Darktrace (DARK.L), a global leader in cyber security artificial intelligence, is on a mission to free the world of cyber disruption. Breakthrough innovations in our Cyber AI Research Center in Cambridge, UK have resulted in over 160 patents filed and research published to contribute to the cyber security community. Rather than study attacks, Darktrace's technology continuously learns and updates its knowledge of 'you' and applies that understanding to optimize your state of optimal cyber security. Darktrace is delivering the first ever Cyber AI Loop, fueling a continuous end-to-end security capability that can autonomously spot and respond to novel in-progress threats within seconds. Darktrace employs over 2,200 people around the world and protects approximately 8,900 customers globally from advanced cyber threats. Darktrace was named one of TIME magazine's 'Most Influential Companies' in 2021. To learn more, visit http://www.darktrace.com.
Cloud App Management
GlobeNewswire | October 16, 2023
Sage, the trusted software provider for small and mid-sized businesses (SMBs) in the construction industry, today announced the expansion of its construction cloud suite. With the launch of Sage Construction Management, Sage adds cloud preconstruction and project management capabilities to its industry-leading construction portfolio.
Sage is proud to offer the only true cloud solutions built for construction with full end-to-end capabilities covering preconstruction, operations, and financials,” said Julie Adams, Vice President of Product, Construction and Real Estate, Sage. Sage has been an industry leader at the forefront of innovation for more than 50 years. The addition of Sage Construction Management further strengthens the depth and breadth of Sage’s construction portfolio and fills an industry need for comprehensive cloud-based solutions that fit the requirements and budgets of smaller contractors and can scale to support their needs as they grow.
Sage Construction Management is built for collaboration and mobility so field, office, and external teams can share real-time project information and make quick, informed decisions. The solution is offered together with Sage Intacct Construction Financials as an end-to-end suite that enables operational and finance teams to align and work together towards improved job profitability.
Managing all project operations from one platform, anytime, from anywhere, and on any device, helps businesses win more work and execute projects more efficiently. “In researching project management solutions, it was clear that this was the package for us,” said Shawn Peterson, office manager at Mid-Atlantic Building Services. “It can take us from the first subcontractor proposal, through the last pay app to the client. And with everything in one platform, everyone can access what they need in their own individual capacities without being disjointed.”
Sage is also offering the Construction Essentials package, which includes Sage Construction Management and Sage Intacct Construction Financials as an end-to-end suite at a cost-effective price for growing contractors. In addition, Sage Construction Management is available as a standalone preconstruction and project management solution with connectors to other accounting solutions, providing businesses the power and flexibility to choose the mix of solutions that best addresses their needs.
Sage Construction Management and the rest of Sage’s industry-leading solutions are available now from authorized Sage resellers, the largest and most experienced partner network in the industry. Learn more about Sage Construction Management here. For more information about Sage construction solutions, visit SageCRE.com.
Cloud App Management
Hewlett Packard Enterprise | October 09, 2023
HPE's GreenLake revenue tops $1 billion and offers flexible payment models.
GreenLake adds cloud-based backup and recovery as software-as-a-service.
HPE launches AI-driven GreenLake for large language models and eyes the Asia-Pacific market.
Hewlett-Packard Enterprise (HPE) has refined its GreenLake strategy, which was launched in 2017 as a response to the growing demand for IT consumption as a service. GreenLake's annual recurring revenue has now surpassed $1 billion, reflecting the popularity of the pay-as-you-go model for cost control and IT agility.
However, in light of higher interest rates and economic uncertainty, organizations are showing decreased interest in pay-as-you-go approaches. As a result, HPE has introduced flexibility by offering GreenLake options through both capital expenditure (capex) and operating expenditure (opex) models, allowing customers to choose how they pay for their infrastructure.
HPE has also expanded its GreenLake offerings in the software domain, providing software-as-a-service (SaaS) solutions, such as backup and disaster recovery, without requiring hardware investments. The platform supports backup and replication of workloads between cloud providers like AWS and Azure without the need for on-premises hardware.
Joseph Yang, Managing Director of HPE, Singapore region, reportedly remarked,
If you look at the architecture of HPE hardware, it’s becoming more and more like a modern smartphone, which is managed through the cloud, while your data and applications run on your premises. That’s what GreenLake is evolving into.
[Source – Computer Weekly]
The company is streamlining the management of hybrid infrastructures through GreenLake's infrastructure-as-a-service (IaaS) management platform. This platform can manage various HPE hardware, including networking equipment, servers, and storage, through the cloud, simplifying tasks like OS provisioning and firmware updates.
Regarding data protection, HPE is focusing on helping customers manage their data lifecycles, whether stored on-premises or in the public cloud, through a centralized platform.
HPE has also heavily invested in artificial intelligence (AI) solutions. They offer comprehensive AI solutions that cover the entire AI lifecycle, including machine learning data management software. In June 2023, HPE entered the AI cloud market with GreenLake for large language models (LLMs), allowing enterprises to privately train and deploy large-scale AI using supercomputers.
Regarding the availability of this service in the Asia-Pacific region, Yang mentioned that market demand and factors like access to renewable energy need to be considered, especially in datacenter hubs like Singapore, where renewable energy sources are limited.
Yang emphasized that addressing challenges like renewable energy sources and cooling methods is essential to supporting AI workloads effectively in the region.