Business Software for PowerShell - Page 4

Storage Spaces is a technology in Windows and Windows Server that can help protect your data from drive failures. It is conceptually similar to RAID, implemented in software. You can use Storage Spaces to group three or more drives together into a storage pool and then use capacity from that pool to create Storage Spaces. These typically store extra copies of your data so if one of your drives fails, you still have an intact copy of your data. If you run low on capacity, just add more drives to the storage pool. There are four major ways to use Storage Spaces, on a Windows PC, on a stand-alone server with all storage in a single server, on a clustered server using Storage Spaces Direct with local, direct-attached storage in each cluster node, and on a clustered server with one or more shared SAS storage enclosures holding all drives. Expand volumes on Azure Stack HCI and Windows Server clusters.

Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways.

Blink is an ROI force multiplier for security teams and business leaders looking to quickly and easily secure a wide variety of use cases. Get full visibility and coverage of alerts across your organization and security stack. Utilize automated flows to reduce noise and false positives in alerts. Scan for attacks and proactively identify insider threats and vulnerabilities. Create automated workflows that add relevant context, streamline communications, and reduce MTTR. Take action on alerts and improve your cloud security posture with no-code automation and generative AI. Shift-left access requests, streamline approvals flows, and unblock developers while keeping your applications secure. Continuously monitor your application for SOC2, ISO, GDPR, or other compliance checks and enforce controls.

Elevate your cyber classes with our gamified cyber labs. Project Ares delivers fun student learning through gamified cyber range practice labs. Hands-on skills learned in real-world scenarios transfer directly to cybersecurity work roles. Project Ares cyber labs deliver hands-on practical experience right in the classroom. Realistic network environments and hands-on tasks enable interactive learning. Basic cybersecurity concepts such as the cyber kill chain, ports and protocols, and binary hexadecimal conversion are taught through fun, classical game experiences. Specialized labs are red or blue team-oriented and tackle threats including botnet, file theft, and ransomware. Fun to play for professionals and students alike to show mastery of cybersecurity concepts like the cyber intrusion kill chain, ports and protocol, regular expression techniques, and more. Realistic network environments and hands-on tasks enable interactive learning.

Salesforce Data Cloud is a real-time data platform designed to unify and manage customer data from multiple sources across an organization, enabling a single, comprehensive view of each customer. It allows businesses to collect, harmonize, and analyze data in real time, creating a 360-degree customer profile that can be leveraged across Salesforce’s various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. This platform enables faster, more personalized customer interactions by integrating data from online and offline channels, including CRM data, transactional data, and third-party data sources. Salesforce Data Cloud also offers advanced AI gents and analytics capabilities, helping organizations gain deeper insights into customer behavior and predict future needs. By centralizing and refining data for actionable use, Salesforce Data Cloud supports enhanced customer experiences, targeted marketing, and efficient, data-driven decision-making across departments.

Streamline daily operations and simplify the management of Cisco UCS infrastructure. Automate routine tasks and reduce operational expenses. More than 50,000 customers worldwide have realized significant benefits. Cisco UCS Manager works seamlessly with Cisco Intersight, a SaaS systems management platform. It helps you achieve even greater efficiencies. Cisco UCS Manager supports the entire Cisco UCS server. It enables server, fabric, and storage provisioning as well as, device discovery, inventory, configuration, diagnostics, monitoring, fault detection, auditing, and statistics collection. You can extend the benefits of Cisco UCS Manager globally across an enterprise to thousands of servers in multiple domains with Cisco Intersight Infrastructure Service. Our open platform treats infrastructure as code. It extends the functionality of existing management tools through a broad, mature partner ecosystem.

Azure Marketplace is a comprehensive online store that provides access to thousands of certified, ready-to-use software applications, services, and solutions from Microsoft and third-party vendors. It enables businesses to discover, purchase, and deploy software directly within the Azure cloud environment. The marketplace offers a wide range of products, including virtual machine images, AI and machine learning models, developer tools, security solutions, and industry-specific applications. With flexible pricing options like pay-as-you-go, free trials, and subscription models, Azure Marketplace simplifies the procurement process and centralizes billing through a single Azure invoice. It supports seamless integration with Azure services, enabling organizations to enhance their cloud infrastructure, streamline workflows, and accelerate digital transformation initiatives.

AWS Systems Manager is a comprehensive solution that enables centralized visualization, management, and operation of nodes at scale across AWS, on-premises, and multi-cloud environments. It provides a unified console experience, consolidating various tools to facilitate common node tasks across AWS accounts and regions. With Systems Manager, you can automate routine operational tasks, reducing the time and effort required for system maintenance. It offers secure remote management of nodes without the need for bastion hosts, SSH, or remote PowerShell, simplifying operations and enhancing security. The platform also supports automated patching of operating systems and software, ensuring that your infrastructure remains up-to-date and compliant. Additionally, Systems Manager provides real-time insights into your node infrastructure, allowing for quick identification and resolution of issues. Its integration capabilities extend across hybrid and multi-cloud environments.

Claude Opus 4.1 is an incremental upgrade to Claude Opus 4 that boosts coding, agentic reasoning, and data-analysis performance without changing deployment complexity. It raises coding accuracy to 74.5 percent on SWE-bench Verified and sharpens in-depth research and detailed tracking for agentic search tasks. GitHub reports notable gains in multi-file code refactoring, while Rakuten Group highlights its precision in pinpointing exact corrections within large codebases without introducing bugs. Independent benchmarks show about a one-standard-deviation improvement on junior developer tests compared to Opus 4, mirroring major leaps seen in prior Claude releases. Opus 4.1 is available now to paid Claude users, in Claude Code, and via the Anthropic API (model ID claude-opus-4-1-20250805), as well as through Amazon Bedrock and Google Cloud Vertex AI, and integrates seamlessly into existing workflows with no additional setup beyond selecting the new model.

GPT-5 Pro is OpenAI’s most advanced AI model, designed to tackle the most complex and challenging tasks with extended reasoning capabilities. It builds on GPT-5’s unified architecture, using scaled, efficient parallel compute to provide highly comprehensive and accurate responses. GPT-5 Pro achieves state-of-the-art performance on difficult benchmarks like GPQA, excelling in areas such as health, science, math, and coding. It makes significantly fewer errors than earlier models and delivers responses that experts find more relevant and useful. The model automatically balances quick answers and deep thinking, allowing users to get expert-level insights efficiently. GPT-5 Pro is available to Pro subscribers and powers some of the most demanding applications requiring advanced intelligence.

GPT-5 Thinking is the deeper reasoning mode within the GPT-5 unified AI system, designed to tackle complex, open-ended problems that require extended cognitive effort. It works alongside the faster GPT-5 model, dynamically engaging when queries demand more detailed analysis and thoughtful responses. This mode significantly reduces hallucinations and improves factual accuracy, producing more reliable answers on challenging topics like science, math, coding, and health. GPT-5 Thinking is also better at recognizing its own limitations, communicating clearly when tasks are impossible or underspecified. It incorporates advanced safety features to minimize harmful outputs and provide nuanced, helpful answers even in ambiguous or sensitive contexts. Available to all users, it helps bring expert-level intelligence to everyday and advanced use cases alike.

Azure Resource Manager is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure account. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment. When a user sends a request from any of the Azure tools, APIs, or SDKs, Resource Manager receives the request. It authenticates and authorizes the request. Resource Manager sends the request to the Azure service, which takes the requested action. Because all requests are handled through the same API, you see consistent results and capabilities in all the different tools. All capabilities that are available in the portal are also available through PowerShell, Azure CLI, REST APIs, and client SDKs. Functionality initially released through APIs will be represented in the portal within 180 days of initial release.

Existing sandboxes are often slow and ineffective, failing to provide adequate protection against advanced threats. They consume significant amounts of time and resources, which can cause delays in identifying and mitigating security risks. Additionally, as attackers continue to develop new and sophisticated techniques, traditional sandboxes struggle to keep up with the evolving threat landscape. As a result, businesses need to look for more advanced and efficient solutions to protect against modern cyber threats. Cyberstanc Vortex is designed to enhance the existing frameworks, tools, and techniques for secure data transfer between secure networks. Utilizing simulation intelligence and signature-less detection capabilities aims to bridge the gaps and overcome the limitations present in current solutions. With its unique features, Cyberstanc Vortex provides comprehensive protection and ensures the secure transfer of data.

Traditional malware sandboxing and simulation solutions may fall short of detecting emerging threats because they often rely on static analysis and pre-defined rules to detect malware. SWATBOX is an advanced malware simulation and sandboxing platform that utilizes simulated intelligence technology to detect and respond to emerging threats in real-time. It is designed to emulate a wide range of realistic attack scenarios, allowing organizations to assess the effectiveness of their existing security solutions and identify any potential vulnerabilities. SWATBOX utilizes a combination of dynamic analysis, behavioral analysis, and machine learning to detect and analyze malware samples in a controlled environment. It uses real-life malware from the wild, which involves creating a sandboxed environment that simulates a real-world target and seeding it with decoy data, to lure attackers into a controlled environment where they can be monitored and their behavior studied.