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Sternum Introduces Embedded Security and Observability for the Zephyr Project IoT Ecosystem

Sternum joins the Zephyr Project as its first embedded runtime security partner.

As part of the Linux Foundation, Zephyr is a scalable, open-source real-time operating system (RTOS) delivering one of the world's most popular infrastructures for connected resource-constrained devices.

The partnership enables Zephyr’s community of IoT developers and device manufacturers - including innovators like Google, Intel, and NXP - to easily take advantage of secure OS, advanced runtime protection and threat detection, and continuous device monitoring for RTOS-based, low-resource devices.

The increasing risk of cybersecurity threats for the growing global number of connected devices did not go unnoticed by government and regulatory bodies. The US government, the EU government, NIST, FDA, and more have recently underlined the need for more advanced security controls - not only for new products that enter the market but also for legacy devices already in the field.

These new regulations and growing customer needs are a wake-up call for IoT manufacturers - many of which still rely on constant reactive security patching, lacking the on-device resources needed to deploy proactive endpoint defenses (e.g., EPP or XDR) that are considered the norm in other IT sectors.

Sternum enables IoT manufacturers to address rapidly evolving customer demands and market needs with a full-stack platform built for universal support of all Linux and RTOS devices. The platform offers a full suite of security solutions for embedded devices:

- Agentless runtime protection: Embedded Identity Verification (EIV™) is Sternum’s patented low-footprint technology that deterministically prevents exploit attempts, known attacks, unpatched vulnerabilities, zero-day assaults, and software supply chain threats.

- Continuous Monitoring: Sternum provides device and fleet-level insights that raise the bar for IoT observability, offering product, security, and engineering teams ready access to live and historical data, anomaly detection capabilities, advanced log management, and tools for remote debugging and contextual root cause analysis.

- Threat Detection: Sternum introduces XDR-like capabilities that triage data from mitigated attacks with device-level telemetry and AI-based insights to alert about ongoing attacks, emerging threats, malicious behavior, security blindspots, and suspicious activities.

“Sternum’s platform is a valuable addition to Zephyr’s partner ecosystem,” said Kate Stewart, Vice President of Dependable Embedded Systems at the Linux Foundation. “Sternum’s runtime security model enhances Zephyr's built-in security features by providing embedded developers and device manufacturers with additional security and monitoring capabilities, which they can implement with minimal complexity and zero performance compromises.”

“Zephyr is already the platform of choice for some of our largest customers, allowing us a clear view of how it’s being used to power medical devices, payment devices, gateways, and industrial infrastructure,” says Natali Tshuva, CEO and Co-Founder of Sternum. “We see growing demand from device manufacturers for advanced security controls, post-market surveillance capabilities, and threat mitigation that go beyond perpetual security patching. Our built-in support for the Zephyr operating system and toolchains allows us to address these needs and offer an easy way to bring our patented technology to all Zephyr-based devices.”

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Sternum Introduces Embedded Security and Observability for the Zephyr Project IoT Ecosystem

Sternum joins the Zephyr Project as its first embedded runtime security partner.

As part of the Linux Foundation, Zephyr is a scalable, open-source real-time operating system (RTOS) delivering one of the world's most popular infrastructures for connected resource-constrained devices.

The partnership enables Zephyr’s community of IoT developers and device manufacturers - including innovators like Google, Intel, and NXP - to easily take advantage of secure OS, advanced runtime protection and threat detection, and continuous device monitoring for RTOS-based, low-resource devices.

The increasing risk of cybersecurity threats for the growing global number of connected devices did not go unnoticed by government and regulatory bodies. The US government, the EU government, NIST, FDA, and more have recently underlined the need for more advanced security controls - not only for new products that enter the market but also for legacy devices already in the field.

These new regulations and growing customer needs are a wake-up call for IoT manufacturers - many of which still rely on constant reactive security patching, lacking the on-device resources needed to deploy proactive endpoint defenses (e.g., EPP or XDR) that are considered the norm in other IT sectors.

Sternum enables IoT manufacturers to address rapidly evolving customer demands and market needs with a full-stack platform built for universal support of all Linux and RTOS devices. The platform offers a full suite of security solutions for embedded devices:

- Agentless runtime protection: Embedded Identity Verification (EIV™) is Sternum’s patented low-footprint technology that deterministically prevents exploit attempts, known attacks, unpatched vulnerabilities, zero-day assaults, and software supply chain threats.

- Continuous Monitoring: Sternum provides device and fleet-level insights that raise the bar for IoT observability, offering product, security, and engineering teams ready access to live and historical data, anomaly detection capabilities, advanced log management, and tools for remote debugging and contextual root cause analysis.

- Threat Detection: Sternum introduces XDR-like capabilities that triage data from mitigated attacks with device-level telemetry and AI-based insights to alert about ongoing attacks, emerging threats, malicious behavior, security blindspots, and suspicious activities.

“Sternum’s platform is a valuable addition to Zephyr’s partner ecosystem,” said Kate Stewart, Vice President of Dependable Embedded Systems at the Linux Foundation. “Sternum’s runtime security model enhances Zephyr's built-in security features by providing embedded developers and device manufacturers with additional security and monitoring capabilities, which they can implement with minimal complexity and zero performance compromises.”

“Zephyr is already the platform of choice for some of our largest customers, allowing us a clear view of how it’s being used to power medical devices, payment devices, gateways, and industrial infrastructure,” says Natali Tshuva, CEO and Co-Founder of Sternum. “We see growing demand from device manufacturers for advanced security controls, post-market surveillance capabilities, and threat mitigation that go beyond perpetual security patching. Our built-in support for the Zephyr operating system and toolchains allows us to address these needs and offer an easy way to bring our patented technology to all Zephyr-based devices.”

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.