KEY TAKEAWAYS:

Unlimited Plus Premium includes unlimited premium high-speed data, 50 GB high-speed mobile hotspot data, and video streaming up to 4K UHD for maximum connectivity and entertainment.Customers receive built-in savings with up to $10/month phone financing credit (up to $360 value towards a new phone) and an included smartwatch data plan (up to $10 monthly value), plus Anytime Upgrade.Enhanced global connectivity is included, with free international roaming for calls and texts, and 20 GB per month of high-speed data in over 215 countries and destinations.

STAMFORD, Conn., July 22, 2026 /PRNewswire/ — Ready for wireless that does more? The new Unlimited Plus Premium plan from Spectrum Mobile brings residential customers a powerful mix of premium features and built-in savings. The new top-tier plan delivers the most comprehensive suite of benefits across Spectrum Mobile, designed for those who want the best in wireless connectivity and value.

“Unlimited Plus Premium is our most flexible and feature-rich plan yet,” said Danny Bowman, Executive Vice President, Product. “It delivers premium connectivity, savings and exclusive benefits, meeting the needs of customers who expect even more from their mobile experience.”

The new plan offers several exclusive features:

50 GB of high-speed mobile hotspot data – five times more than Unlimited Plus. Ideal for streaming, gaming, remote work, travel and multi-device households.Video streaming up to 4K UHD on cellular, letting customers enjoy their favorite content in full 4K detail when away from WiFi.Built-in savings with up to $10 per month credit for financed Spectrum Mobile phones (up to a $360 value).Included smartwatch service for one eligible paired smartwatch, a $10 monthly value.Enhanced global connectivity with free international roaming with calls and texts, and 20 GB of high-speed data per month in more than 215 countries and destinations, including Canada and Mexico.

Unlimited Plus Premium also includes all the benefits of Spectrum Mobile’s current plans: unlimited high-speed data, unlimited talk, text and WiFi calling, straightforward pricing, coast-to-coast 5G coverage, and access to Speed Boost when connected to the Spectrum Mobile Network’s approximately 45 million secure WiFi access points nationwide. As with Unlimited Plus, customers who signed up for Unlimited Plus Premium also have access to Anytime Upgrade, allowing them to upgrade their phone without traditional wait times.

Unlimited Plus Premium is available to residential customers for $50 per month per line (multi-line) or $60 per month (single-line) with no contracts, added taxes or hidden fees.

More information about Spectrum Mobile Unlimited Plus Premium is available at www.spectrum.com/mobile.

About Spectrum
Spectrum is a suite of advanced communications services offered by Charter Communications, Inc. (NASDAQ: CHTR), a leading broadband connectivity company available to nearly 59 million homes and small to large businesses across 41 states. Founded in 1993, Charter has evolved from providing cable TV to streaming, and from high-speed Internet to a converged broadband, WiFi and mobile experience. Over the Spectrum Fiber Broadband Network and supported by our 100% U.S.-based employees, the Company offers Seamless Connectivity and Entertainment with Spectrum Internet®, Mobile, TV and Voice products. 

More information can be found at corporate.charter.com. 

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SOURCE Charter Communications, Inc.

Harness AppSec partner ecosystem gives resellers, systems integrators, and technology partners a single platform to deliver AI-era application security

SAN FRANCISCO, July 22, 2026 /PRNewswire/ — Harness, the AI Software Delivery Platform™ company, today announced the Harness AppSec Alliance, a strategic partner ecosystem that brings together best-of-breed application security, API and Agent security capabilities on a single platform. The Alliance is designed to help resellers, systems integrators, and technology partners capture a fast-growing and largely unaddressed share of security spend as agentic AI accelerates both software delivery and the vulnerabilities that come with it.

As enterprises accelerate AI adoption, the attack surface has fundamentally shifted and expanded. AI agents, LLM-powered microservices, and MCP-enabled integrations introduce new vectors that traditional security tools were not built to address. According to Harness’s State of AI-Native Application Security report, 62% of organizations have no visibility into where LLMs are in use across their environment, and 74% say AI sprawl will outpace API sprawl when it comes to risk. Partners without application security or secure-deployment offerings are leaving a substantial share of that spend on the table because they have nothing to quote. Customers select point solutions that create gaps in coverage and challenges in operationalization.

“Every partner conversation we’re having right now starts the same way: customers are already spending on AI-driven security, but their reseller or integrator can’t follow the budget into application security,” said Tom O’Reilly, Senior Vice President, Worldwide GTM Partnerships at Harness. “The Harness AppSec Alliance closes that gap. We’re bringing partners application security technology, built into one platform, so they can walk into an existing account and pick up spend they were never able to compete for before.”

Why Now: The Bottleneck Has Moved to Application Security

While the attack surface has expanded, the real crisis is no longer just discovering vulnerabilities. It is the speed at which organizations can respond to them. Modern AI systems can surface vulnerabilities far faster than security teams can triage, validate, and patch. This creates an operational bottleneck where organizations are flooded with findings but lack the capacity to remediate them, leaving them exposed despite having “visibility.” 

That shift is showing up directly in how customers buy. 75% of security professionals believe shadow AI will eclipse shadow IT as the defining enterprise security threat, yet most organizations still have no way to track it (Harness). Analysts and vendors alike are pointing to the same inflection point on recent investor calls: security budgets are reallocating toward the tools that can keep pace with AI-accelerated vulnerability discovery and AI-generated code.

Most security partners are well positioned on network, endpoint, and cloud security, but few have application security and secure software delivery in their portfolio. That leaves four customer problems largely unaddressed:

Gaps in runtime protection. Agentic attacks are biased toward APIs and increasingly use chained attack paths. Traditional WAFs are blind to attacks that unfold over time and aren’t built to secure APIs at scale.Signal overload. The volume of vulnerabilities surfaced by AI-powered scanning is overwhelming security teams, and traditional scanners compound the problem with high false-positive rates.Slow exposure audit and triage. When a vulnerability is disclosed in a widely used open-source package, it can take customers days to a year to find every instance of that package across their estate, while attackers exploit it in hours.Delayed patch windows. None of the above matters if it still takes weeks to ship a fix. Finding a vulnerability faster is only useful if the organization can patch just as fast.

A Single Platform Built for the AI Threat Era

The Harness AppSec Alliance is anchored on Harness’s application security capabilities, which partners can now package, resell, and deploy as part of the broader Harness AI Software Delivery Platform:

Shift left with SAST & SCA. AI-powered static analysis with reachability analysis, prompt and skill scanning, built natively into the CI/CD pipeline, cutting false positives through deduplication and intelligent prioritization.Software and AI Supply Chain Security. SBOM and AIBOM generation, provenance tracking, and attestation so every artifact is tracked, vulnerable artifacts are automatically quarantined, and responses to zero-day vulnerabilities can be accelerated.Web Application & API Protection (WAAP). Runtime protection purpose-built for the microservices era, combining WAF, API discovery, bot defense, and runtime attack blocking in a single, API-native control — not a legacy WAF bolted on.AI and Agent Security. Holistic offering that includes discovery of all AI endpoints and agents, adversarial AI testing, and an AI firewall enforcing policy at runtime, with agent trace preserving the record of all of it.

What Alliance Partners Get

The Harness AppSec Alliance is built around a co-sell-first model rather than a traditional tiered program with steep upfront certification requirements. Partners get:

A self-service partner portal with role-based enablement for sales, presales, and delivery teamsDeal registration protections and incentives that reward both partner-sourced and partner-influenced pipelineCo-marketing resources and joint go-to-market campaigns to help partners open new application security conversations inside existing accountsA path for best-of-breed technology partners to integrate their capabilities directly into the Harness platform and reach the Harness customer baseAccess to the same Software Delivery Knowledge Graph and platform context that powers Harness AI, so partner-delivered findings and fixes carry full provenance and audit trail

Where the Alliance Stands Today

Security and delivery have historically lived in separate tools, owned by separate teams, with fixes passed manually between Engineering, DevOps, and Security. Gartner named Harness a Leader in its 2026 Magic Quadrant™ for DevSecOps Platforms for closing that gap, recognizing the shift toward a single platform spanning delivery and security instead of three disconnected teams handing work back and forth. The Harness AppSec Alliance extends that same model to partners, turning security and delivery into one automated motion rather than a manual handoff.

That model is already taking shape in the field. Harness’s EMEA team has built a strong regional foundation so far, working directly with resellers, systems integrators, and technology vendors across the UK, DACH, France, Benelux, and the Middle East with a goal to line up more than 30 partner organizations. It’s a model Harness plans to replicate across its other regions as the Alliance scales globally.

Availability

The Harness AppSec Alliance is open now to resellers, systems integrators, and technology partners worldwide. Interested partners can apply at www.harness.io/partners.

About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

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SOURCE Harness

End-to-end blueprint enables cost-efficient high-performance AI infrastructure based on AMD Instinct™ MI350 series GPUs and DriveNets AI Fabric

RA’ANANA, Israel, July 22, 2026 /PRNewswire/ — DriveNets, a leader in large-scale networking solutions, today announced the publication of an end-to-end reference architecture, that defines a validated design blueprint for building high-performance AI infrastructure using AMD Instinct™ MI350 series GPUs and DriveNets AI Fabric. The combined solution supports scale-out and scale-across architectures, including front-end and storage networking based on a single networking solution. When combined with automated orchestration and full-stack integration services, it also supports rapid deployment and efficient end-to-end scaling.

The reference architecture and the companies’ growing strategic relationship reflect a shared vision for open, multi-vendor AI infrastructure. AMD recently participated as a strategic investor in DriveNets’ $410 million Series D financing round, reinforcing a strong commitment to their joint customers.

The reference architecture, available here, is accompanied by a complementary deployment guide that outlines a system-level approach for designing, deploying, and fine-tuning large AI GPU clusters. Together, the documents cover compute and networking design, as well as end-to-end optimization across the full-stack, including AMD ROCm™ software ecosystem, RCCL collective communications, network plugins, NICs, servers, and system-level orchestration to maximize training and inference performance.

Validated performances at scale

The reference architecture includes comprehensive benchmarking across inference, training, network isolation, and fabric resiliency workloads on AMD Instinct MI355X GPU clusters – providing validated, reproducible evidence of the platform’s readiness for production-scale AI deployments.

The architecture includes multiple network topology options, along with detailed technical guidance and best practices for optimizing performance, scalability, isolation, and resiliency.

Benchmark results show that DriveNets’ AI fabric delivers approximately 5% higher throughput and 10–15% lower time to first token (TTFT) compared to publicly available industry results. At multi-node scale, the platform meets strict production service-level objectives, including sub-20 millisecond inter-token latency and a minimum of 50 output tokens per second per user.

Resiliency testing demonstrated stable collective communication performance under concurrent RDMA traffic, with no degradation during transient link disruptions. Fabric bandwidth remained consistent, with no observable recovery delays. The results also demonstrate RCCL collective performance on AMD platforms comparable to leading publicly available NCCL benchmarks on equivalent configurations.

High performance with improved efficiency

These results validate the joint architecture as a scalable foundation for the full LLM lifecycle, enabling high utilization and consistent performance across training and inference workloads.  The solution is designed to maximize GPU efficiency, reduce total cost of ownership, and deliver strong cost-per-token performance, offering an open alternative to vertically integrated AI infrastructure stacks.

“AI infrastructure is moving from single-vendor stacks to open, multi-vendor systems, and the network makes that shift work,” said Ido Susan, co-founder and CEO of DriveNets. “This reference architecture with AMD turns that into a validated blueprint: AMD Instinct GPUs and our AI fabric deliver higher throughput and lower time to first token than publicly available results — with the resiliency and consistency that production AI clusters require. This gives customers building on AMD Instinct a validated, end-to-end blueprint to maximize GPU utilization and lower cost-per-token, on open Ethernet.”

“Production AI clusters are defined by how well compute, network and software work together at scale,” said Arvind Balakumar, corporate vice president, Global Cluster Engineering, AMD. “Our collaboration with DriveNets gives customers a validated, open Ethernet reference architecture that pairs AMD Instinct MI350 series GPUs with DriveNets AI Fabric to help maximize GPU utilization, improve workload efficiency and simplify deployment across training and inference workloads.”

A better AI infrastructure choice

The deployment guide provides step-by-step instructions covering compute, network interface card (NIC), networking, collective-communications libraries and workload setup, configurations, and performance optimizations.

AMD and DriveNets are closely collaborating to ensure end-to-end software stack optimization, from NIC behavior and collective communications to system-level tuning. The companies are working with joint customers across production and proof-of-concept deployments, including LLM developers and NeoCloud providers. The companies also established a joint lab to enable customers to run proof-of-concept (PoC) tests using their own workloads.

About DriveNets

DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company’s disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets’ solutions power production networks for global tier-1 operators like AT&T and Comcast — supporting nearly 50% of total U.S. internet traffic — and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. Learn more at https://www.drivenets.com.

About AMD

AMD drives innovation in high-performance and AI computing to solve the world’s most important challenges. Today, AMD technology powers billions of experiences across cloud and AI infrastructure, embedded systems, AI PCs and gaming. With a broad portfolio of AI-optimized CPUs, GPUs, networking and software, AMD delivers full-stack AI solutions that provide the performance and scalability needed for a new era of intelligent computing. Learn more at www.amd.com.

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SOURCE DriveNets