Page 55 - Cyber Defense eMagazine Special RSA Conference Annual Edition for 2022

• Financial Impact Quantification: Companies calculate the annual loss expectancy of specific
risks in order to understand real-time financial exposure. With this intel they can see threats and
vulnerabilities in a financial context, weigh and compare their potential impact, and inform priority
setting and resource investment and allocation.
• Targeted Industry Benchmarking: Enterprises compare their risk exposure to industry peers —
after data is adjusted to take account of industry type, company size, risk appetite, data assets,
and other factors.
• Multiple Use Cases by Design: The ability to automate any risk framework or enterprise use
case and integrate enterprise-wide risk modeling eliminates siloed reporting and enhances
executive and board level decision making. The design flexibility helps organizations respond
nimbly to the latest emerging threat or headache.
• Neuroscience-Based Dashboards: Present comprehensive, enterprise-wide reports in clear,
unbiased formats that lead to more consistent, confident decisions and risk mitigation at each
management level.
• Risk Scenario Planning: Artificial intelligence (AI) and machine learning (ML) deliver a reliable,
predictive process that enables enterprises to assess best- and worst-case scenarios, compare
threats, and determine where to invest in risk mitigation. The platform continues to learn as it’s
exposed to more enterprise data, which finetune outputs and insights.
• Rapid, Customized Deployment: IDRM can customize the data captured across use cases to
deliver a comprehensive, bespoke view of each organization’s unique risk landscape — and the
platform can be operational within two to three weeks to generate fast ROI.

The AI /ML-driven IDRM methodology gives organizations a complete, actionable view of the risks they
face — and gives the C-suite, the CISO, and the information security operations teams the ability to
communicate effectively, in real time to make critical risk-based decisions.

About the Author

AJ is the CEO of OptimEyes.ai, an AI-powered SaaS solution for
enterprise security, compliance, and privacy risk management. Unlike
others, OptimEyes monitors risk real-time, on a continuous basis and
provide a trackable risk score, providing a single integrated dashboard
to easily understand total risk.
AJ is also an Official member of the Forbes Technology Council, and
the Founder and Chairman of ICCG, a 501c (6) non-profit, established
to improve local competitiveness in a global economy.

AJ is a serial Entrepreneur who successfully founded and sold a BPM
(Business Process Management) software company, and also
successfully established an IT consulting company. AJ has his MS in Computer Science from the
University of Pune, India, and resides in San Diego, CA. Our company website https://optimeyes.ai
Follow us LinkedIn and Twitter.

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