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Robotic Process Automation

Top 10 Security Risks with Robotic Process Automation

Software robots have huge market potential, expected to reach USD 23.9 billion by 2030 according to Statista.

Software robots are typically split into two categories: assisted and unassisted. Assisted RPAs contribute to an operational process, with some actions still performed by an employee, while unassisted RPAs are designed for unmanned operation and provide fully automated task execution. The next step in developing RPA technology is so-called ‘cognitive’ RPAs enhanced by Machine Learning algorithms that facilitate decision-making and self-improvement.

While robotic process automation can significantly increase an enterprise’s productivity, RPA can also introduce security vulnerabilities.

Organisations planning to implement robotic process automation may be concerned about potential security threats, including unauthorised access to sensitive data, weak authentication resulting in compromised passwords or security keys, data leakage and compliance issues.

But if a company has adequate controls in place, both for its software components and for identity and access management (IAM), creating a well-controlled environment for RPA technology should be relatively easy. Cognitive RPAs, on the other hand, have a far more specific threat landscape, which current international information security standards haven’t adequately addressed.

Threats related to RPA technology include:

  • Poor governance of RPA
  • Inefficient implementation of RPA
  • Gaps in IAM controls
  • Lack of business continuity preparedness
  • Inadequate change management processes
  • Inadequate vulnerability management
  • Inconsistency of results produced by RPA
  • Regulatory non-compliance
  • Reputational damage
  • Insufficient data protection

This guide provides an in-depth analysis of robotic process automation's top 10 security threats, illustrated with real-life examples.

If you want to gain a better understanding of the threat landscape associated with RPA implementation and leverage insights to build robust security controls and risk mitigation scenarios, grab your free copy now.

Overview: What’s inside

  • Assisted, unassisted and cognitive RPA – what's the difference?
  • RPA security threat landscape explained
  • Where things can go wrong with RPA security: real-life scenarios
  • How to establish a proper framework for RPA implementation
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