VivoSecurity: Vendor Risk Assessment Software
VivoSecurity helps senior management and cybersecurity teams quantify third-party risk. It is designed for organizations in regulated industries that require empirical risk forecasting over qualitative checklists.
At a glance
- Category
- Security
- Best for
- Financial institutions and banks, Biotech and pharmaceutical companies, Cybersecurity teams, Senior management in PII-heavy industries, Quality Assurance (QA) teams
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though a first free analysis is offered.
- Key use cases
- Quantifying Third-Party Risk, Budgeting for Cybersecurity Investments, Regulatory Reporting, Risk Appetite Setting
- Official website
- vivosecurity.com
VivoSecurity is a risk management platform designed to quantify the likelihood and financial impact of data breaches originating from third-party vendors. Rather than relying on questionnaires or SOC2 reports, it uses empirical regression models and AI to provide numerical forecasts on breach probability.
The tool is designed for senior management, cybersecurity teams, and QA departments, particularly within the financial, biotech, and pharma sectors. It helps users identify vendors that represent higher risk and supports weighing the cost of cybersecurity investments against the cost of risk transfer.
Buyers should confirm if their regulatory requirements align with the supported frameworks, such as SR11-7 for banking or HIPAA and NIST 800.30 for healthcare. It is designed as a quantitative complement to vendor maturity scores.
Key Features
Provides forecasts twice per year to quantify the probability that a vendor will experience a data breach.
Forecasts total costs of breaches, including investigation, notification, and reputation damage, using median and 80% confidence intervals.
Allows organizations to compare their cybersecurity spend and management culture with industry peers.
Uses statistical models based on data analytics and AI to predict breach outcomes.
Designed to meet Federal Reserve SR11-7, HIPAA, CLIA, and NIST 800.30 standards.
Use Cases
Using aggregate forecasts twice a year to determine the likelihood of a vendor-related data breach.
Using breach impact reports to estimate potential costs to help inform decisions on risk mitigation spending.
Providing documented evidence of vendor risk assessments to satisfy auditors and regulators.
Helping senior management set goals for data breach frequency and size based on testable forecasts.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though a first free analysis is offered.
FAQ
VivoSecurity uses AI and data analytics to predict the probability of a data breach occurring within a company's third-party vendor network and forecasts the potential financial impact.
It is designed for industries dealing with sensitive PII, including banking, financial institutions, biotech, and pharmaceutical companies.
Rather than relying on opinions or self-reported maturity scores, VivoSecurity uses empirical regression models to provide a numerical forecast of risk.
The provided evidence indicates that the company offers a first free analysis and a free peer comparison.
Source category: Security
Source subcategory: Compliance Management
