Establishing a New Standard for Measuring Effectiveness, Safety, Risk, and Business Value

AI is transforming cybersecurity, but as organizations accelerate adoption, a critical question remains: How can you prove that AI is reducing cyber risk, strengthening resilience, and delivering measurable business value?

Traditional benchmarks and demos show what AI can do, but not necessarily how it will perform in complex, real-world environments, the risks it introduces or the value it delivers.

Functionality and safety are essential, but they're only part of the equation. Organizations must also quantify the business impact of AI-driven decisions and prove the return on their investments.

Join cybersecurity experts for for an executive discussion a new evidence-based approach to evaluating AI performance, quantifying risk, and measuring ROI.

Join cybersecurity experts from SecurityScorecard, MITRE, Deloitte, and SimSpace for an executive discussion on a new evidence-based approach for evaluating AI performance, quantifying rick and measuring agentic ROI:

• Functionality — Does AI actually perform? Evaluate offensive and defensive capabilities, autonomy, and reliability through verified outcomes in realistic cyber environments.

• Safety — Can AI operate within defined guardrails? Assess human oversight, operational boundaries, and the unintended actions under real-world conditions.

• Risk — Can you quantify the business consequences of AI? Measure cyber exposure, business disruption, collateral damage, and risks associated with autonomous decision-making.

• ROI — Can you prove AI is worth the investment? Quantify business value through operational efficiency, productivity gains, cost efficiency, and measurable risk reduction.

AI performance alone is not proof of readiness. Learn how objective, repeatable evaluations connect technical performance to business risk and financial outcomes, providing the evidence leaders need to confidently invest in, govern, and operationalize AI.