In time and resources needed for risk assessments.
and questions to simplify the process.
conversion of controls into risk insights.
Capability to repeat, clone, and track improvements over time.
A GRC team in a large enterprise struggle with manually converting control data into actionable risk insights. The process is time-consuming, requires specialized expertise, and often results in inconsistent and outdated risk postures.
Alfahive's unique susceptibility model leverages advanced machine learning techniques to automate the conversion of controls into risk insights. By simulating control options against threats using the MITRE ATT&CK and DEFEND frameworks, Alfahive streamlines and enhances the risk assessment process.
Choose from a variety of industry-standard frameworks tailored to your needs.
Seamlessly connect with your current governance, risk, and compliance (GRC) tools or manually input control data
Choose from a variety of industry-standard frameworks tailored to your needs.
Automatically evaluate and assign maturity levels to each control.
Choose from a variety of industry-standard frameworks tailored to your needs.
The automated process halved the time and resources previously required for risk assessments, allowing the team to focus on more strategic tasks. This resulted in an estimated annual savings of $500,000.
The use of machine learning and predefined frameworks ensured consistent and accurate risk assessments, eliminating the variability of manual processes.
The efficiency gains translated into significant cost savings, reducing the need for additional specialized staff and expensive external consultants, amounting to approximately $300,000 annually.
A GRC team in a large enterprise that previously spent weeks manually converting control data into risk management metrics. This laborious process required extensive expertise and often led to inconsistent and outdated assessments. By implementing Alfahive's automated risk assessment solution, the team transformed its approach. They selected a pre-built control framework and defined the scope of their assessment within minutes. Integration with their existing GRC tools was seamless, and the system automatically assigned maturity levels to each control. With the push of a button, the team converted control data into risk insights, providing them with a clear and up-to-date risk posture. Regular reassessments ensured that their risk insights were always current, enabling them to respond swiftly to emerging threats.