Want to protect your business from vendor risks? Third-party risk management (TPRM) helps small and medium-sized businesses (SMBs) avoid disruptions, ensure compliance, and safeguard sensitive data. Here's a quick guide to managing risks from cloud vendors:
Quick Comparison: Manual vs AI Risk Management
Feature | Manual Methods | AI-Driven Solutions |
---|---|---|
Incident Detection | Periodic checks | Real-time alerts |
Risk Assessment | Interval-based reviews | Continuous scoring |
Response Capability | Limited to office hours | 24/7 operations |
Expert Integration | On-demand human support | Embedded engineers |
Switching to AI tools for TPRM can save time, improve security, and reduce downtime. Start managing third-party risks today to keep your SMB secure and compliant.
Managing third-party risks is a continuous process involving four main steps: identify, assess, control, and monitor risks.
Small and medium-sized businesses (SMBs) in the UK need to meet specific regulatory requirements:
These essentials lay the groundwork for the seven practical steps we’ll explore next.
To strengthen your cloud vendor security, follow these seven practical steps:
Centralise vendor information in one tool, including:
Review this list every quarter to identify any new or updated vendors.
Check for key security measures like ISO 27001 or SOC 2 certifications, encryption standards, backup systems, recovery processes, and incident-response protocols.
Organise vendors by their risk profile and set controls accordingly:
Risk Level | Characteristics | Required Controls |
---|---|---|
Critical | Access to sensitive data, system-level access | Daily monitoring, quarterly audits |
High | Handles some sensitive data, core service provider | Weekly monitoring, bi-annual audits |
Medium | Non-critical services, minimal data access | Monthly monitoring, annual audits |
Low | Peripheral services, no sensitive data access | Quarterly monitoring, basic controls |
Create tailored control measures for each risk tier. This might include access restrictions, service-level objectives (SLOs), encryption protocols, scheduled reviews, and performance metrics.
Regularly monitor vendor performance against agreed metrics such as uptime, security incidents, response times, and any service disruptions. Keep detailed records of these findings.
Maintain a thorough record of compliance-related documents, including:
Prepare a clear plan to manage vendor incidents. This should include steps to identify, report, and resolve issues. Use AI-enhanced tools alongside human expertise and involve specialist cloud operations support when needed.
For example, Critical Cloud clients have shared their experiences:
"Before Critical Cloud, after-hours incidents were chaos. Now we catch issues early and get expert help fast. It's taken a huge weight off our team and made our systems way more resilient." – Head of IT Operations, Healthtech Startup
"As a fintech, we can't afford downtime. Critical Cloud's team feels like part of ours. They're fast, reliable and always there when it matters." – CTO, Fintech Company
Next, we'll explore the differences between manual and AI-driven risk management.
When looking at manual versus AI-driven risk management, the differences are clear. Manual methods depend on scheduled reviews and human oversight, which can slow down detection and response times. On the other hand, AI-powered solutions provide continuous monitoring and can address issues much faster.
Here’s a breakdown of the key differences:
"Critical Cloud plugged straight into our team and helped us solve tough infra problems. It felt like having senior engineers on demand." - COO, Martech SaaS Company [3]
Strong third-party risk management is essential for keeping SMBs resilient in cloud environments. Comparing manual methods with AI-driven approaches shows that AI tools bring improved efficiency, accuracy, and system availability to vendor risk management.
To manage third-party risks effectively, focus on these practices:
These strategies align with the seven core steps of third-party risk management, making them applicable throughout the vendor lifecycle.
The shift from manual processes to AI-enhanced solutions has been particularly advantageous in highly regulated industries like FinTech and Healthtech. These sectors, where system reliability is critical, have seen better vendor risk management and reduced workload for teams by adopting AI tools.