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Home Industry

Securing Robotic Process Automation in Modern Supply Chains

by NS
December 17, 2025
in Industry
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By Daniele Mancini, Field CISO, Fortinet

The implementation of Robotic Process Automation (RPA) systems in supply chain operations represents a breakthrough for logistics procurement and inventory management functions. RPA automation of high-volume tasks enables organisations to achieve maximum efficiency through its ability to process data and manage orders and perform system integration tasks. It does, however, also create complex cybersecurity risks affecting the entire supply network Infrastructure. Active defense strategies against emerging threats are required to ensure continued operational stability, commercial data protection and brand reputation.

The Expanding Attack Surface: New Pathways for Adversaries

An RPA implementation creates new automated high-privilege system connections which merge previously isolated systems into a single digital footprint. The increased attack surface created by this expansion provides malicious actors with attractive targets. Software robots known as “bots” perform human-like tasks which require them to run with elevated permissions throughout multiple applications, including Enterprise Resource Planning (ERP) systems, supplier web portals, Warehouse Management Systems (WMS) and financial platforms.

The integration points between systems create security risks; an attacker who gains control of a bot system obtains complete access to organisational operations through legitimate-looking access points that circumvent standard security boundaries.

Supply Chain-Specific Vulnerabilities: The Ripple Effect

RPA operates automatically to handle large amounts of sensitive information which includes supplier agreements, proprietary pricing data, inventory statistics and protected customer delivery records. A bot compromise enables attackers to use the system for speedy data extraction and fraudulent transaction insertion making detection and response very difficult.

Credential management systems for RPA deployments presents attractive targets for attackers as they could gain access to multiple systems through authenticated sessions while their traffic appears legitimate.

Exploiting Cross-Organisational Trust

The trust relationships that form between systems become vulnerable to attacks from adversaries. A typical supply chain attack occurs when unauthorised parties access less secure RPA environments of suppliers to use automated data transfer

for malware distribution and data contamination. The system will accept malicious code and fake data through automated transactions which appear as legitimate partner communications.

Amplified Impact in Just-in-Time Environments

The fast pace of modern supply chains operating with just-in-time delivery makes security incidents from RPA systems produce more severe effects, including:

–             Procurement operations inventory management manipulation and the potential spread of Fraudulent orders and incorrect shipments and manipulated prices throughout the system

–             A successful attack on supply chain RPA infrastructure results in consequences that go beyond the initial data breach. The business faces multiple severe impacts which include operational disruptions, financial losses and strategic damage that endanger its future sustainability

Strategic Espionage and Reputational Damage

The instant financial harm from RPA system breaches makes them an appealing target for industrial espionage activities. APT actors use the permanent privileged access of bots to execute extended surveillance operations and steal competitive intelligence.

Major supply chain security incidents result in severe damage to a company’s reputation. The practice of cybersecurity due diligence within vendor risk management has become mandatory, which makes a company’s security position determine its power to draw and keep both customers and suppliers.

A Multi-Layered Defense: Technology Mitigation Framework

A complete technology mitigation strategy needs to handle all these intricate security threats. The framework depends on security architecture and operational controls and continuous monitoring for its foundation.

1. Implement the Principle of Least Privilege (PoLP)- Each bot in RPA security operates with restricted access to perform only its assigned tasks by accessing specific systems and data and functions. Organisations can stop a compromised bot from spreading by using Role-Based Access Controls (RBAC) to block its network access to other systems.

2. Harden Credential Management – Bot credentials must be treated as highly privileged assets. Best practices include implementation of Privileged Access Management (PAM) solution for that centralises and automates bot credential management, prevention of direct storage of passwords and API keys and an MFA requirement for bot accounts accessing vital systems.

3. Establish Continuous Monitoring and Anomaly Detection – Improving visibility across the system is key. This includes creating operational baselines which track how each bot functions by recording its system access patterns and usage times and data processing amounts, analysing all data access patterns, external communications and off-hours activities which deviate from the established baseline and the integration of RPA platform logs with Security Information and Event Management (SIEM) systems for a single incident response workflow.

4. Architecture for Security with Network Segmentation –  RPA infrastructure should not reside on the general corporate network. On the contrary, the system needs its own separate network area which includes defined security zones that use strong firewall rules to monitor all network communications and use application-layer firewalls and API gateways to block dangerous direct database connections which bypass other security controls by performing complete traffic analysis of bot system interactions.

Fortifying the Chain: Supply Chain-Specific Security Measures

Supply chain RPA functions between different organisations so internal security measures prove insufficient for protection.Security needs to protect all components within the supply chain system ecosystem.

Extend Security Requirements to Partners

Organisations need to establish security requirements as fundamental components of their partnership agreements, including performing complete security assessments before enabling automated data exchange capabilities.

The protection of automated supplier and logistics partner communications needs data in transit to use secure API architectures with mutual authentication and robust encryption methods. The prevention of data tampering becomes possible through blockchain technology which enables verified transactions and cryptographically signed API payloads.

Conduct Proactive and Realistic Security Testing

Take action to identify your vulnerabilities before an attack occurs. Regular security testing of RPA workflows through penetration testing and red team exercises is vital. Proactive testing enables organisations to verify their detection and response systems to operate correctly before any actual cyber-attacks take place.

Conclusion: Security as a Competitive Necessity

Robotics Process Automation generates major security risks for supply chain operations, but they are manageable with an active multi-level security plan that handles system weaknesses, operational stability and supply chain network dependencies.

Organisations that establish complete security frameworks through strict access controls, hardened credential management, monitoring and extended supply chain protections can achieve transformative efficiency through automation and create fundamental elements for supply chain reliability and trustworthiness.

NS

NS

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