A.I. Led Security Steve Grobman, McAfee

Steve GrobmanSVP & Chief Technology Officer

McAfee

New Attack Methodologies Create New Challenges

Artificial Intelligence

Machine Learning

Deep Learning

Ideally suited for a wide range of cyber security defense use cases…

Detection rate: 88.65%False Positive rate: 0.00%

Threat Intelligence driven security

Detection rate: 97.42%False Positive rate: 9.67%

Machine Learning driven security

Detection rate: 98.86%False Positive rate: 0.38%

Threat Intelligence + M.L. driven security

A.I./ML

ThreatIntelligence

Adversarial Machine Learning

(~100%) (~50%) (<1%)

Artificial Intelligence “Black Box Duality”

• Detect Previously Unseen Attacks

• Non-Deterministic

• Often Unable to Explain “Rationale for the conclusion”

• False Positives and False Negatives are inherent

In comparison to traditional risk measurement; the focus is on probability instead of possibility

Business Function 5

Business Function 4

Business Function 2

Business Function 3

Business Function 1

One final thought

NIST physicists used three beryllium ions to demonstrate a crucial step in a procedure that could enable future quantum computers to break today's most commonly used encryption code

…We must act now!!