Zero-day attacks are unknown threats that easily circumvent signature-based security solutions and therefore pose an exceptionally dangerous risk to businesses. In this article we will explore how Check Point uses artificial intelligence and machine learning to prevent these attacks.
Zero-day attacks are attacks that exploit recently-discovered vulnerabilities for which no patch is available. By attacking on “day zero”, a cybercriminal decreases the probability that an organization will be able to detect and respond appropriately.
Many organizations’ security models are based on detection, which requires the ability to identify an attack as malicious. With the novel exploits used in zero-day attacks, security based on signature detection is completely ineffective because the required signatures have not yet been developed.
Therefore, managing the risk of zero day attacks requires prevention, not just detection.
Preventing zero day attacks is a multistage process. Organizations need the threat intelligence required to identify a potential campaign, tools for acting on this intelligence, and a unified platform that supports rapid, coordinated threat response.
Modern cyberattacks are widespread and automated. A zero day attack will target many different organizations, taking advantage of the narrow window between vulnerability discovery and patch release.
Protecting against this type of large-scale attack requires access to high-quality threat intelligence. As one organization experiences an attack, the data that it collects can be invaluable for other organizations attempting to detect and block the attack. However, the speed and volume of modern attack campaigns makes manual threat intelligence sharing too slow to be effective.
Check Point’s ThreatCloud is the world’s largest cyber threat intelligence database. ThreatCloud leverages artificial intelligence (AI) to distill the data provided to it into valuable insights regarding potential attacks and unknown vulnerabilities. Analysis of over 86 billion daily transactions from more than 100,000 Check Point customers provides the visibility required to identify zero day attack campaigns.
Threat intelligence provides the information required to effectively detect zero day attacks. Protecting against them requires solutions that can translate this intelligence into actions that prevent the attack from succeeding.
Check Point has developed over sixty threat prevention engines that leverage ThreatCloud’s threat intelligence for zero day prevention. Some key threat prevention capabilities include:
Many organizations are reliant upon a wide array of standalone and disconnected security solutions. While these solutions may be effective at protecting against a particular threat, they decrease the effectiveness of an organization’s security team by overwhelming them with data and forcing them to configure, monitor, and manage many different solutions. As a result, overworked security personnel overlook critical alerts.
A unified security platform is essential to preventing zero-day attacks. A single solution with visibility and control across an organization’s entire IT ecosystem has the context and insight required to identify a distributed cyberattack. Additionally, the ability to perform coordinated, automated responses across an organization’s entire infrastructure is essential to preventing fast-paced zero-day attack campaigns.
Check Point’s prevention-first approach is the only way to effectively protect against unknown threats. Legacy solutions that rely upon incident detection and response miss novel attacks and respond too late to minimize the damage of a cyberattack campaign.
A crucial first step in preventing cyberattacks is identifying vulnerabilities within your network, which is why Check Point offers a free security checkup service. To learn more about preventing novel cyberattacks using artificial intelligence, check out this whitepaper.