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Enabling companies to improve cybersecurity and reduce costs,

by bringing predictability to the randomness of data breach,

using data analytics and A.I.





Call or book a free peer comparison.


HTTPS://MEETINGS.HUBSPOT.COM/THOMASL4



PRODUCTS

AGGREGATE 3RD PARTY ASSESSMENTS

Regulators and management need 3rd party assessment that are accurate and not
based upon opinions or assumptions. VivoSecuiry enables  our customers to
satisfy regulators by assessing true 3rd party risk, which is the probability
that one of their vendors will have a data breach, obsoleting the use of
questionnaires, maturity scores and SOC2 reports.

 

The risk from 3rd parties is from breaches caused by  the sheer number of
vendors. VivoSecurity quantifies this risk twice per year, with an aggregate
forecast. We help senior management set risk appetite goals with a testable
forecast of data breach frequency.  We help cybersecurity teams identify the few
vendors that represent most of the risk,  we then quantify the value of
mitigation. Finally, we satisfy regulators with an accurate and documented
process for vendor assessment using an empirical and transparent regression
model for probability of data breach. 



DATA BREACH IMPACT REPORT

The cost of a data breach is predictable. By understanding the causes and  cost
of data breaches,  VivoSecurity allows our customers to make informed decisions
around cybersecurity investments. We use an empirical regression model, which
means that it is based upon factors that predict cost.   The model is easy to
understand, and provides insights into how to manage and reduce costs.  The
report provides the median and 80% confidence interval for a data breach caused
by a malicious outsider, a malicious insider, a lost & stolen device, and/or  an
accident. The model forecasts the sum of all costs including investigation
costs, notification costs and reputation damage and the probability for lawsuit,
providing a complete and detailed breakdown of costs.

PEER COMPARISON

Senior management would like more than green/yellow/red. They would like to know
the probability for data breach and the cost of reducing this probability. They
would like to know how they compare with peers and they would like to be able to
weigh cybersecurity risks against other business priorities. They would like to
know how the cost of risk transfer compares with the cost of reducing
cyber-risk.

 

VivoSecurity brings  predictability to the randomness of cybersecurity incidents
by enabling  our customers understand the probability of having  a data breach.
Our report will help senior management set risk appetite goals for their
internal cybersecurity, in terms of data breach frequency and data breach size,
and, more importantly, weigh the cost of cybersecurity against the cost of risk
transfer. Our report will also show senior management how they compare with
their industry and size in terms of cybersecurity spend and management culture.

 
 

ABOUT

VivoSecurity develops rigorous statistical and AI models, that meet the Federal
Reserves and office of the controller guidance for model risk management
(SR11-7), to forecast the cost and probability of data breach. The vivo team has
PhD level scientists and statisticians who have developed novel, yet rigorous
methods to leverage from the numerous state and federal reporting requirements
regarding data breach. 

Thomas Lee



CEO

BS, Electrical Engineering, Univ. of Washington

BS, Physics, Univ. of Washington

PhD, Biophysics, Univ. of Chicago

Paul Borchardt



Board of Directors, IP Advisor

PhD, Biomedical Science, Univ. of Texas

JD, Univ. of San Francisco

Spencer Graves



Head of Modeling

MA, Mathematics, Univ. of Missouri

PhD, Mathematical Statistics, Univ. of Wisconsin

Shawn Wilde



Board of Directors

Former CIO,

GDPR HIPAA CCPA Advisor

Nagaraja Kumar Deevi

Advisor



Aaron Arutunian



Cybersecurity Advisor

CISSP, CISA & 32 additional certifications

 

RESOURCES

CASE STUDIES



Analyzing & Reducing 3rd Party Risk Using a Statistical Approach

Go to download


PUBLICATIONS



The Quantified Value of CISSP and CISA Certified Employees

Rick Lucas, Thomas Lee, PhD

Go to download



INDUSTRIES

FINANCIAL • BANKING

The Federal Reserve and Office of the Comptroller of the Currency (OCC) has
special requirements for banks regarding models and assessing model risk (see
SR11-7).

VivoSecurity  assists  our customers to meet this standard with empirical
regression models that are fully compliant. Our models bring non-technical
insights to senior management and new technical insights to the subject matter
expert. With each use, our Aggregate 3rd Party Assessments make a testable
forecast to validate our results.. We support model validation, provide
model-documents, and support model maintenance to aid assessment of model risk.
Our models help banks, financial institutions and transaction processors to
quantify and manage the risk from 3rd and 4th parties, demonstrate an advanced
approach for risk management to regulators and bring certainly to the randomness
of data breach. 

BIOTECH • PHARMA • MEDICAL

Good policies and procedures are the foundation of quality assurance (QA). We
support our customer’s QA teams with a HIPAA compliant, CLIA compliant and NIST
800.30 compliant Aggregate 3rd Party Assessment process.

 

Our Aggregate 3rd Party Assessments apply to both IT/technology and business
critical clinical vendors. We help our customers save money—while also reducing
cyber-risk, by identifying the few vendors that account for most of the risk.
Our customers save money by focusing mitigation efforts, which can be justified
by quantifying the value with a model and process that is credible to
regulators.

 

Our customer’s QA teams gain non-technical, yet actionable insights into the
risk posed by each vendor, and by the risk from the sheer number of vendors. We
support our QA customers with a template SOP and training for vendor assessments
and new vendor onboarding. We support our customers when they face CAP and OCR
auditors with our credible, accurate and testable empirical regression model
that quantifies cybersecurity risk.

INDUSTRIES WITH PII

Companies continue to  outsource services and infrastructure, with  3rd party
risk being  the cybersecurity blind spot. We find that about 50% of larger data
breaches are caused by 3rd parties. This 3rd party risk is due to the sheer
number of vendors, which cannot be assessed with maturity or compliance models,
or SOC 2 reports. We help all of our customers quantify and manage this
cybersecurity risk with empirical statistical models that forecast data breach
for all their vendors, not only the vendors missed by maturity or compliance
models. 

 
 

CONTACT

VivoSecurity Inc.

Los Altos, California

 

Telephone 650-919-3050



LinkedIn



Email us

inquiries@VivoSecurity.com



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