STRIDE & DREAD - Structured logistics risk management

Identify, assess and minimize cyber risks in a targeted manner

Modern supply chains are increasingly threatened by cyberattacks, data breaches and IT vulnerabilities. Structured risk assessment methods are essential to protect logistics data.

STRIDE & DREAD provides proven security models that systematically analyze threats and prioritize them according to criticality. These methods provide the basis for standardized risk management and help to develop targeted protective measures.

STRIDE – Systematic threat analysis

STRIDE is a model for identifying security risks in IT-supported logistics processes. It covers six threat categories:

• Spoofing - Identity falsification within the supply chain
• Tampering - Manipulation of data and systems
• Repudiation - Non-traceability of transactions and deliveries
• Information disclosure - Data leaks and unauthorized disclosure
• Denial of Service (DoS) - Attacks on logistics IT systems to block processes
• Elevation of Privilege - Unauthorized access to critical data

DREAD – Prioritization and evaluation of risks

DREAD complements STRIDE with a detailed risk assessment by taking five key factors into account:

• Damage potential - How great is the potential damage to the supply chain?
• Reproducibility - How easy is it to repeat the threat?
• Exploitability - How easily can the vulnerability be exploited?
• Affected Users - How many users or processes are affected?
• Discoverability - How easy is it to detect the threat?

Systematic analysis with STRIDE and DREAD enables companies to specifically identify and prioritize security gaps in logistics IT and the digital supply chain.

Advice on STRIDE & DREAD – support with risk management

The combination of STRIDE for threat analysis and DREAD for risk prioritization can be a helpful basis for risk management in logistics.

Possible offers of support:

• STRIDE analyses to identify potential threats
• DREAD-based assessment of risks and priorities
• Derivation of measures to improve IT security
• Exchange on best practices for risk identification in logistics

These methods have proven useful for structuring risk management strategies and creating transparency about security gaps. If you would like some guidance or an initial exchange, we would be happy to help.