Smart cyber has been saved
How AI can help manage cyber risk
In the digital age, artificial intelligence technologies are starting to have the same kind of game-changing impact that factories and assembly lines had on manufacturing at the dawn of the industrial age - dramatically improving efficiency and enabling new products, services, and business models that simply weren’t possible before.
A perfect storm for cyber risk
The cyber threat landscape is growing exponentially. Insider threats are learning to evade signature-based systems, and bad actors are using AI to avoid detection by learning the most common detection rules.
The size and complexity of this growing challenge is overwhelming cybersecurity teams, while the qualified cybersecurity talent necessary to successfully fight back is increasingly expensive and hard to find. With all these forces combined, a perfect storm is forming - but organizations can employ emerging technologies to help them weather the worst.
Benefits of smart cyber
By applying AI and advanced analytics to vast amounts of internal and external data, smart cyber technologies can generate predictive, usable insights that help you make better cyber decisions and protect your organization from threats. They can also help you detect and respond to threats faster by monitoring the cyber environment with a level of speed and accuracy only machines can provide. Perhaps most important, smart cyber helps you keep pace with today's endless barrage of increasingly sophisticated attacks.
The key benefits of smart cyber technologies include:
- They complement existing security controls and applications in detecting progressive, emerging, and unknown threats,
- They enable enterprises to detect advanced persistent threats and identify indicators of compromise that may go undetected with existing security defences,
- They enhance the threat-hunting process by collecting, correlating, and analyzing a wide range of security data;
- They determine threat patterns by tapping into threat intelligence feeds, vulnerability information, device event logs, and contextual data—enabling proactive and predictive security insights.