Continuous Monitoring

Utilize device and fleet-level insights to build better products faster, resolve issues with ease, deploy at scale, and innovate with confidence.

Continuous Monitoring

Continuous Monitoring

Utilize device and fleet-level insights to build better products faster, resolve issues with ease, deploy at scale and innovate with confidence.

Granular
Visibility

Ready access to live and historical data and specific device-level metrics.

Advanced
Tools

Operational insights, log management, anomaly detection, and more.

Informed
Innovation

Directed by insights about device performance and user activity.

Illuminate the Black Box

Sternum raises the bar for dive observability, equipping you with ready access to live insights, historical data,predictive analytics, and tools for contextual root cause analysis.

  • Lightweight  Integration Lightweight  Integration Lightweight
    Integration
  • Universal  Support Universal  Support Universal
    Support
  • Cloud Platform  for IoT Builders Cloud Platform  for IoT Builders Cloud Platform
    for IoT Builders
  • Lightweight
    Integration

    Data collection is enabled by an Observability SDK, coded in C and optimized explicitly for embedded systems. Using proprietary technology, our SDK has a minimal footprint and provides 3X transfer efficiency over alternatives.

    ’Screenshot Lightweight  Integration
  • Universal
    Support

    The SDK acts as an abstraction layer, between the device and our Cloud platform, which allows it to collect every kind of data from any IoT device  – regardless of its type, OS flavor or communication stack (BT, BLE, MQTT, WiFi, etc.) Supporting every connection scenario, the SDK can even be used as a proxy to store data from isolated IoT systems.

    ’Screenshot Universal  Support
  • Cloud Platform
    for IoT Builders

    Information is sent to our Cloud platform, specifically built to manage data from IoT devices; software signals (e.g., status and error codes), and analogical diagnostics from the hardware and the physical environment (e.g., temperature, voltage, and pressure readings).
    Enriched with alerts and insights from the anomaly detection engine, the information is presented in a visual UI, offering ready access to real-time and historical data, with numerous slice-and-dice and drill-down options.

    ’Screenshot Cloud Platform  for IoT Builders

Flexible Data Collection

Our SDK helps collects the exact data you need – as granular as you require. By quickly deploying traces into your code, you can customize your monitoring strategy to continuously keep track of user activity, CPU/memory utilization, network stats, battery levels, RSSI, temperature, pressure, and more.

Customer Story

Reduce BT Issues by Over 50%

Customer Story

A device manufacturer experienced repeat BT disconnections that caused user dissatisfaction and led to massive engineering time loss.

After monitoring and analyzing granular BT data with Sternum, the team implemented relevant firmware improvements and the number of issues went down by 50%.

Early Issue Discovery

Information from traces provides contexts for failed test and development issues, helping you easily relate errors to their source – down to specific line of code, process ID, or memory location.

Combined with the integrity verification capabilities of our EIV™ software technology(ies), this also enables auto-discovery of code and memory bugs missed by other tools (e.g., invalid commands and memory leaks) – enabling you to address critical issues early in the development lifecycle when they are least costly to fix.

Customer Story

Detect 0-day Vulnerabilities in Preproduction

Customer Story

A Fortune 500 engaged Sternum for POC, during which Sternum’s runtime protection was integrated into the development process.

Almost immediately, by profiling their firmware in runtime, the team was able to discover four security bugs, including potential memory information leaks and corruption vulnerabilities.

By addressing these bugs pre-market, the company was to resolve issues with relative ease, avoid patching in the field, and prevent future risks to device users.

Read the full case study

Adaptive Anomaly Detection

Going beyond general-purpose solutions, our anomaly detection is tailored for a granular understanding of IoT devices through multivariate analysis of software and hardware metrics.  

Requiring zero effort to deploy, AI automatically learns the routines of each device in your fleet as soon as it’s connected to our platform.

Using telemetry from your own custom traces, it provides constant situational awareness of device-level issues, tracing temperature increases to excessive usage, failure rates to damage during shipping, stalled updates to connectivity issues, and more.

Customer Story

Saving Millions on Battery Maintenance

Customer Story

A customer was experiencing issues with unexpected battery depletions, leading to substantial financial losses.

The team used Sternum to utilize additional custom traces, and use them to track nuanced metrics which could help predict battery failures.

As a result, the company was able to optimize its investment in battery replacements, maximizing battery life and saving millions of dollars in maintenance costs.

Contextual Root Cause Analysis

For every alert, Sternum provides a detailed chronology and visual information for additional context. These help you understand the buildup of events that led to alert and quickly trace it to its root cause, thereby speeding up remediation, preventing repeat issues, and improving overall system resiliency.

Customer Story

Fix in 15 minutes

Customer Story

Using our investigation tools, a device manufacturer was able to pinpoint a memory corruption issue that was causing disruptions in the field.

Thanks to the detailed alert, the necessary fix was implemented within a mere 15 minutes.

Before Sternum, similar investigations would typically take a staggering 5 months to resolve.

Customizable Views and Alerts

Stermum equips you with a wide range of visualization options to help you manage log, metric, and trace data in a way that best fits your needs – personalizing your dashboards to focus on things that matter most.

Our system also offers granular alert customization to help with noise reduction, enabling you to set alert conditions based on string matches, event counts, occurrences over time, and more.

Customer Story

Uncovering Competitive Insights

Customer Story

A device manufacturer suspected that a competitor was making a move on one of their clients.

Using Sternum’s Topology and Relationship views, the customer discovered that the devices were indeed used in conjunction with competing systems.

The company used the information to refocus its customer success efforts, providing valuable intelligence to the customer-facing teams.

Scalable Fleet Management

Our platform offers a bird’s-eye view of device profiles, alerts, trends, errors, and more across your entire device inventory.

Keeping track of such information as device IDs, firmware versions, deploy status, ‘last seen’ time stamps, locations, connectivity, and more, the platform simplifies large-scale deployments, operations, and incident management.

Customer Story

Pinpointing 94% of Errors to Just Two Bugs

Customer Story

An engineering team responsible for a commercially successful product was swamped with support tickets, impacting their ability to focus on development tasks.

Using Sternum’s fleet monitoring and error analysis capabilities, the company created a fleet-wide dashboard that showed that 94% of the critical errors in the field were caused by only two bugs!

Prioritizing and fixing these bugs freed up time for the team to refocus on product improvements.

Former Product Security Director at Medtronic

“Sternum’s solution saves us time, manpower, and money. Being able to lean on Sternum as an active mitigation is a game changer and the data insights help us build better products and make better decisions.”

Kyle Erickson
Kyle Erickson

Former Product Security Director at Medtronic

Former Product Security Director at Medtronic
VP, Dependable Embedded Systems at the Linux Foundation

“Sternum enhances Zephyr’s built-in security features by providing embedded developers and device manufacturers with additional runtime protection and monitoring capabilities, which they can implement with minimal complexity and zero performance compromises.”

Kate Stewart
Kate Stewart

VP, Dependable Embedded Systems at the Linux Foundation

VP, Dependable Embedded Systems at the Linux Foundation
Senior Security System Architect and Fellow at NXP Semiconductors

“All attacks NXP crafted were blocked by Sternum with CPU overhead of less than 3%. Sternum’s ability to successfully addresses runtime attacks is a valuable addition to many of NXP products.”

Marc Vauclair
Marc Vauclair

Senior Security System Architect and Fellow at NXP Semiconductors

Senior Security System Architect and Fellow at NXP Semiconductors
Head of Product at Vibrant

“We were searching for a solution that delivered advanced security and monitoring capabilities. Sternum provided us exactly with what we needed, all with an effortless integration and without any negative impact on performance.”

Uri Neria
Uri Neria

Head of Product at Vibrant

Head of Product at Vibrant
CEO and co-founder at HARDWARIO

“We have long admired Sternum, for its unique ability to provide remote analysis of firmware runtime. Access to this technology improves our IoT offering and helps our partners deliver more reliable and competitive IoT products and services.”

Pavel Hübner
Pavel Hübner

CEO and co-founder at HARDWARIO

CEO and co-founder at HARDWARIO
CISO at Telit

“Seamless baked-in security with none of the added investment or complexity. Sternum alerts users to any attempt to compromise one of their deployed devices, providing early security intelligence.”

Dr. Mihai Voicu
Dr. Mihai Voicu

CISO at Telit

CISO at Telit