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Cyber is a
data problem
Barry Leffew
Senior Vice President and General Manager of National Security Software, SAP National Security Services Inc.
Detecting threats through traditional methods is no longer sufficient. We must evaluate and analyze massive amounts of data, make predictive assessments and deliver actionable intelligence — at scale — far faster than ever before.
This is where AI and machine learning will play a crucial role by giving us an edge against our adversaries. By applying machine- learning principles to cyber data, we can go beyond both current and legacy approaches and add behavior-based capabilities to
our cyber defense arsenal. Behavior-based detection observes devices through the data they’re producing and processing to detect anomalies in behavior, identifying threats before they can cripple a network, steal data or wage an attack. The technique is used to isolate new vulnerabilities created by outside entities, as well as threats coming from inside an organization.
Agencies can outsmart cyberthreats with the help of machine intelligence
IT’S IMPORTANT TO understand that cybersecurity is actually a data problem. Data and endpoints across
every organization are expanding at an exponential rate. Traditional approaches that rely on known threats fail to keep pace. By leveraging artificial intelligence to monitor in-memory behavior, agencies can identify and neutralize ever-changing threats in real time — before their systems are compromised.
Cyberthreats continue to grow and evolve at lightning speed. State-sponsored organizations are staging highly complex, well-funded attacks, and they are expected to have a worldwide economic impact
of $8 trillion by 2022. Attacks on power grids have plunged hundreds of thousands of people into darkness. Cryptocurrency and U.S. financial systems are constantly targeted for exploitation. With the volume
of data and endpoints growing faster than ever before, all levels of society and defense are vulnerable.
Cyber battles will be won on artificial turf
Guarding the cyber perimeter is no longer enough. Organizations must counter with a new, stronger approach. The counter
to these threats involves the combined power of a human/machine team. Human intelligence assisted by AI to outpace and out-think our enemies is fast becoming the new conventional battlefield — one that’s both physical and virtual.
As cyber capabilities become more pervasive and disruptive, they shift long- standing notions of national defense and force projection. We now live in an era of algorithmic warfare, where AI and machine learning must augment human capabilities.
deepOV/RedlineVector/Shutterstock/GCN Staff

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