As connected devices become embedded into homes, hospitals, factories, and public infrastructure, the line between software reliability and cybersecurity is rapidly disappearing. For Bohdan Savchuk, an award-winning QA automation architect and IoT cybersecurity specialist, this convergence is not a future prediction – it is the everyday reality of his work.
With more than a decade of experience testing industrial IoT platforms, cloud-to-device communication, firmware behaviour, and security vulnerabilities across large-scale ecosystems, Savchuk has emerged as one of the specialists redefining how organisations validate the safety, resilience, and trustworthiness of connected systems.
Today, as Expert QA Engineer, CTO and Co-Founder of Anbosoft, he is helping teams modernise their testing processes by integrating AI-driven analytics, threat modelling, and intelligent automation into quality pipelines.
A Rising Need for Smarter IoT Testing
The global expansion of connected devices has introduced unprecedented complexity. Unlike traditional software, IoT products must operate reliably in unpredictable physical environments, communicate over varied protocols, and withstand real-world threats that evolve over time.
“IoT devices live for 10 years or more,” Savchuk explains. “During that time, networks change, firmware updates accumulate, and attackers become more sophisticated. We can’t rely on static testing methods. We need intelligent, adaptive systems.”
This need has pushed QA leaders to rethink how quality is measured. It is no longer enough for a device to function correctly; it must also handle unstable connectivity, abnormal sensor behaviour, malicious data injection, and unexpected environmental stress.
Savchuk’s frameworks were built specifically to address this challenge.
Blending QA, Cybersecurity, and AI
Where many organisations still treat QA and security as separate domains, Bohdan Savchuk designs systems that unite them. His approach incorporates:
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AI-Enabled Threat Modelling
Machine-learning algorithms detect patterns, anomalies, and potential attack vectors in device behaviour-helping teams surface risks early in development.
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Automated End-to-End IoT Testing Pipelines
By merging cloud API tests, firmware validations, protocol checks, and UI automation into one ecosystem, he enables continuous validation across thousands of device states.
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Security Attack Simulation
From spoofed access points to packet manipulation and protocol fuzzing, Savchuk’s pipelines simulate multi-vector attacks that mirror real-world adversaries.
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Resilience and Reliability Analytics
AI models score device stability under latency, packet loss, power cycling, and network failures-providing measurable risk indicators for engineering and product teams.
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Lifecycle-Aware Monitoring
Telemetry analysis helps predict when devices are likely to fail, degrade, or behave inconsistently, reducing costly outages in the field.
This combination transforms IoT QA from a checklist-based function into a predictive discipline supported by AI-driven insights.
Driving Modernisation Across Industries
Savchuk’s testing frameworks have been applied across manufacturing, smart city platforms, logistics, automotive IoT, and large-scale data intelligence systems. His work includes:
- Validating industrial sensors and machine connectivity in complex production environments;
- Ensuring encrypted communication and secure authentication across IoT networks;
- Leading stability and zoning-AI verification across more than 180 million geospatial land parcels;
- Developing test automation for multi-state zoning intelligence used by real-estate technology platforms;
- Improving resilience and uptime of commercial IoT fleets used in U.S. industrial settings;
His contributions have supported organisations navigating the shift toward more autonomous, connected, and software-driven operations-helping them strengthen both product reliability and cybersecurity posture.
This leadership has also earned him industry recognition, including the Icons of Quality Award, IEEE Senior Member distinction, and multiple QA and cybersecurity innovation honours.
AI as a Security and Quality Force Multiplier
AI is rapidly reshaping how testers, security analysts, and engineering teams operate. Routine tasks-such as log analysis, pattern detection, regression validation, and device state monitoring-can now be accelerated through machine learning.
For Bohdan, the goal is not to replace human expertise but to augment it.
“AI gives QA teams the ability to see what would be impossible to track manually,” he says. “It reveals hidden risks, predicts failures, and helps us react before issues impact users.”
In IoT environments, where millions of signals flow through networks every second, AI becomes essential for identifying subtle behavioural deviations that may indicate security breaches or reliability degradation.
A Vision for More Resilient Connected Systems
Looking forward, Bohdan Savchuk believes that IoT testing will evolve through three major shifts:
- Unified Quality and Security Validation
Organisations will adopt testing frameworks that evaluate functionality, safety, and cybersecurity together-closing the gaps between teams. - AI-Driven Digital Twins for Testing
Simulated devices and environments will enable large-scale testing of failure conditions, firmware updates, and attack scenarios before real deployments. - Continuous, Autonomous Testing Pipelines
Self-healing test suites, predictive risk scoring, and automated incident classification will allow IoT ecosystems to operate with minimal manual intervention.
These innovations will be essential as IoT becomes deeply embedded in national infrastructure, healthcare networks, and industrial automation.
Building the Future of IoT Quality
Through Anbosoft, his enterprise clients, and ongoing innovation in test automation and cybersecurity frameworks, Mr. Savchuk is helping organisations build more reliable and secure connected systems. His work demonstrates how QA professionals can accelerate transformation by applying AI and intelligent automation to the world of IoT.
As the device landscape grows more interconnected-and more vulnerable – Bohdan Savchuk’s mission remains focused:
“To make connected technologies safer for everyone by embedding security, intelligence, and reliability directly into the testing lifecycle.”
