Zero-trust IoT security and enterprise compliance
To stop AI-driven attacks, SumatoSoft designs zero-trust architectures for IoT and edge ML systems, secure data pipelines for AI workloads, and ensures controlled OTA updates across a distributed device fleet.
Our IoT security and compliance services
Below are the main areas in which SumatoSoft works with IoT security. We flexibly assemble the proper service set for your product and industry.
Risk assessment and threat modeling
- We start by understanding exactly what needs to be protected. To do that, we conduct an IoT risk assessment and compile an asset map.
- Next, we perform IoT threat modeling for key scenarios, drawing on best practices and real-world attack cases.
- As a result, you receive a prioritized list of risks with a change plan for devices, networks, the cloud, and processes.
Secure architecture and development
- We design IoT architecture with IoT cybersecurity and compliance in mind. We define network zones, encryption methods, and authentication points.
- The team implements these solutions into the code and infrastructure, laying the foundation for secure IoT solutions.
- We use a secure development, testing, and release cycle, and security doesn’t slow down feature delivery; it’s built into the proce
Compliance and regulatory requirements
- We cover regulatory compliance for IoT tailored to your market.
- We work with IEC 62443 compliance for IoT in industrial environments.
- We develop solutions that pass inspections more easily in factories and on the shop floor.
- For IoT in the EU, we build GDPR compliance for IoT devices.
- We configure consent collection, storage, anonymization, and data deletion rights.
- We rely on the NIST IoT cybersecurity framework guidelines where relevant.
- We document policies and artifacts that auditors and security teams expect.
Firmware and secure OTA updates
- Firmware is a common entry point for attacks.
- We strengthen IoT firmware security and build processes for secure OTA updates.
- We add signatures, integrity checks, and secure rollback capabilities, while accounting for device memory, network, and power limitations.
- The result is a managed update process critical to IoT vulnerability management and the closure of discovered vulnerabilities.
Device identity and authentication
- We configure IoT device identity management (IoT) so each device has a stable digital identity.
- We implement IoT device identity management solutions and use certificates, secure key storage, and rotation.
- We build IoT device authentication and identity management, so only trusted devices can connect to your network and services.
- This reduces the risk of device spoofing and man-in-the-middle attacks.
Data protection and encryption
- We take responsibility for IoT data encryption throughout the operational lifecycle: data is encrypted on the device, in transit, and in storage.
- We restrict data access by role and scenario and log access, changes, exports, and attempts to bypass rules.
- This is important for personal data, trade secrets, and telemetry, and builds trust in the platform and ensures compliance.
Security testing and vulnerability management
- We conduct IoT penetration testing across device, application, and cloud layers. This includes IoT penetration testing services according to the agreed-upon scope.
- We use IoT vulnerability assessment tools and services to identify weaknesses before attackers find them.
- We then integrate IoT vulnerability management as a process by recording vulnerabilities, setting deadlines, and repeating checks.
Industry service packages
- For healthcare, we consider HIPAA, GDPR, medical device requirements, and patient risks.
- For manufacturing and OT, we focus on network segmentation, IEC 62443, and line and equipment access.
- For industrial IoT platforms, we connect standard requirements with controls in your stack.
- This way, you receive an IoT security action plan tailored to your business, industry, and regulators.
Why SumatoSoft is your IoT security and compliance partner
Certifications
Audits
Regulations
Standards
Security for AI-driven IoT systems
AI threat landscape (agitator)
The threat model has shifted as attackers use generative models to automate intrusion attempts and generate adaptive malware. Static rules and manual patching do not keep up with this pace.
We design systems that detect and respond to changing attack patterns in real time. Security controls operate continuously at the device, gateway, and network levels, not only at the perimeter.
Hardware-rooted security
Security starts on the device. We implement hardware-backed key storage using trusted execution environments and, where supported, secure elements.
Cryptographic keys and model data remain isolated from the operating system. Even if the device is compromised at the software level, sensitive assets cannot be extracted.
Fail-safe OTA updates with rollback control
OTA updates must not disrupt operations. We design and update pipelines with staged rollout, integrity verification, and automatic rollback.
If a firmware version or edge model causes instability, the device switches to the previous working partition. This prevents device loss and keeps fleets operational during updates.
AI-driven threat detection at the network edge
We deploy machine learning models directly at IoT gateways and edge nodes. These models learn how your device fleet behaves under normal conditions, at the level of message structure, frequency, and communication paths.
What changes compared to rule-based monitoring
- Detection is based on learned behavior, not predefined signatures
- Response happens at the edge, before data enters core infrastructure
- The system adapts as device behavior evolves over time
- Unknown attack patterns are contained without manual rule updates
Where it applies
- Industrial IoT networks with heterogeneous devices
- Edge ML systems processing live telemetry
- Distributed fleets where central monitoring is too slow
- Environments with strict uptime and safety constraints
Let’s discuss your IoT security case!
Drop us a line and discuss your project within 1 business day with SumatoSoft IoT experts.
Industries’ IoT security requirements we cover
Healthcare and MedTech
- Regulations: HIPAA, FDA guidance, IEC 80001.
- Controls: data encryption, strict roles, channel security, device management.
- Quick wins: access logging, OTA control, API settings verification.


Manufacturing & OT
- Regulations: IEC 62443, NIST SP 800-82.
- Controls: segmentation, secure OPC UA, rights management on factory floor networks.
- Quick wins: line isolation, traffic filtering, firmware auditing.


Smart Buildings & PropTech
- Regulations: GDPR, ETSI EN 303 645.
- Controls: personal data management, privacy settings, channel security.
- Quick wins: device encryption, API control, firmware updates.


Logistics & Transport
- Regulations: data security requirements and cargo safety obligations.
- Controls: tracker and gateway protection, telemetry integrity verification.
- Quick wins: network rule verification, cloud access control, message signing.


Consumer IoT
- Regulations: ETSI EN 303 645.
- Controls: Unique credentials, traffic protection, secure updates.
- Quick wins: eliminating default passwords, OTA verification, request filtering.


Fintech
- Regulations: PCI DSS.
- Controls: Payment data protection, strict roles, API control.
- Quick wins: Payment function isolation, separate keys for transactions.


IoT security regulations readiness
IoT security regulations evolve worldwide, and at SumatoSoft, we stay on top of these changes to ensure our Clients’ businesses remain compliant and secure. These are not all, but the most requested regulations we follow:
EU Cyber Resilience Act (CRA)
Applies security-by-design requirements to products with digital components and defines lifecycle obligations for updates, vulnerability handling, and support. Enforcement is planned from 2027.
UK Product Security and Telecommunications Infrastructure (PSTI) Act
Prohibits default passwords in consumer IoT devices and requires disclosure of security update policies and vulnerability reporting processes.
EU NIS2 Directive
An expanded EU cybersecurity directive that extends requirements to more sectors (including critical infrastructure using IoT) and imposes stricter risk management, incident reporting, and supply chain security obligations.
NIST IoT Cybersecurity Framework
Provides structured guidance for identifying, protecting, detecting, and responding to IoT security risks across the system lifecycle.
FDA Medical Device Cybersecurity Requirements
Defines cybersecurity expectations for connected medical devices. Requires manufacturers to address security during pre-market review and maintain monitoring, updates, and vulnerability management after deployment.
6 principles of IoT security
Our mandatory six principles help build IoT security at the device, network, cloud, and application levels and simplify subsequent compliance.


Recent IoT software we developed
IoT technologies we work with
Our IoT security and compliance process
We begin by examining your current IoT system. Unlike developing from scratch, security requires analyzing the existing architecture, data, firmware, and operations. The goal is to understand the risks, mitigate vulnerabilities, and ensure the solution complies with the required standards.
We conduct an audit of the existing IoT platform: examine devices, the network, the cloud, APIs, and support processes. Then, we analyze threats, identify technical gaps, and regulatory incompatibilities. This helps us understand what needs to be changed and in what order.
We analyze your architecture and data landscape: how devices operate, how messages flow, and how keys are stored. We then compare the approaches against IEC 62443, GDPR, HIPAA, and other applicable regulations. The result is our proposal of changes that strengthen the system without complex redesigns. For clarity, we create a document with checkpoints and recommendations.
We help address identified risks. This could include cloud setup, network segmentation, API protection, or OTA redesign. During hardening, we work on firmware security (IoT) and devices, configure IoT device identity management, document new rules, and update processes.
To verify that your system has become more secure, we conduct technical tests, including IoT penetration testing. We also analyze logs, channels, and device behavior. To ensure compliance alignment and help you meet required standards without unnecessary bureaucracy, we prepare audit materials.
Security is a process: we update firmware, patch vulnerabilities, and validate configurations. We provide IoT vulnerability management, monitor regulatory changes, and help organizations adapt to new standards. This way, we ensure your business remains resilient and ready for audits.
Benefits of making your IoT network secure and compliant
Fewer incidents, less downtime
We conduct IoT risk assessments and manage IoT vulnerabilities by patching them in firmware, networks, the cloud, and support scenarios.
Expedited compliance and auditing
We help organizations build regulatory IoT compliance by covering IEC 62443, GDPR, HIPAA, and SOC 2.
A more secure launch of new IoT products
We conduct IoT threat modeling and apply best practices to strengthen IoT firmware security and the pre-release update process.
A clear picture of risks for management
We translate technical findings into the language of costs, penalties, and time-to-market and demonstrate how IoT cybersecurity impacts product and market plans.
Reduced costs for rework and firewall fixes
We build IoT security into the architecture from the outset, reducing the cost of changes and the risk of delays before certification.
Increased trust from customers and partners
Visible control over IoT data encryption and incidents builds trust and eases access for large customers and regulated industries.
Collaboration models
Security assessment and roadmap: Fixed scope
This model is a popular first step.
Suitable for companies that need:
- An audit of their current IoT system
- IoT risk assessment
- IoT threat modeling
- A remediation and compliance plan.
What we provide:
- Vulnerability report
- Architecture and hardening recommendations
- Risk map
- Implementation plan for IEC 62443, GDPR, HIPAA, and other compliance.
Security improvements and hardening: Time & Material
This model is suitable when the scope of changes cannot be determined in advance.
You choose the areas:
- Cloud
- Network
- Firmware
- Access management
- IoT data protection
- OTA, and DevSecOps.
We strengthen the system step by step, quickly address critical risks, and refine the architecture.
Dedicated security team
A small, dedicated team for your IoT scenarios. This model is suitable for companies with a large IoT base or complex infrastructure (medtech, manufacturing, utilities).
This model includes:
- Continuous monitoring
- IoT vulnerability management
- IoT penetration testing cycles
- Compliance training
- Firmware updates and configuration verification.
Security consulting and compliance support
Long-term support without development from scratch. Suitable when your team makes changes themselves but needs expertise.
We help:
- Build security processes
- Pass partner or regulatory screening
- Implement IAM for devices and users
- Configure secure DevSecOps
- Prepare policies, procedures, and artifacts for audits.
For 14+ years, we have proudly taken responsibility for your IoT projects!
Awards & Recognitions
Frequently asked questions
How do you prevent sensor spoofing and data poisoning in ML systems?
We verify telemetry at the device level. Each device receives a unique certificate through a controlled PKI and signs the data it sends. If a payload is unsigned, altered, or sent from an untrusted device, the system rejects it before it reaches storage or ML pipelines. This helps prevent poisoned data from influencing model training or automated decisions.
How do you protect ML models deployed on edge devices?
We encrypt model files at rest and restrict runtime access through hardware-backed security controls when the device supports them. Model data is decrypted only during inference and only inside protected execution areas. If the device is tampered with, the system can block access, revoke credentials, or wipe protected memory based on the hardware design.
How do you secure legacy industrial equipment that cannot support modern encryption?
We place secure gateways between legacy equipment and the corporate network. The gateway handles identity checks, encrypted communication, traffic filtering, and protocol translation. This project involves older PLCs and machines without changing their firmware. Legacy protocols such as Modbus can be isolated and converted into secure communication channels before data enters IT systems.
How do you protect IoT systems against future quantum threats?
For long-lifecycle IoT assets, we can use hybrid cryptographic designs that combine current encryption with post-quantum algorithms where the risk profile requires it. This reduces exposure to “harvest now, decrypt later” attacks, where encrypted traffic is captured today for possible decryption by future quantum systems.
How do you prevent lateral movement across network segments or 5G slices?
We separate network segments with independent authentication, traffic policies, monitoring rules, and access boundaries. Each segment or slice is treated as a separate trust zone. Suspicious cross-segment traffic can be blocked or isolated before it reaches more sensitive systems.
Let’s start
If you have any questions, email us info@sumatosoft.com



















