The security professional’s job has become an endless game of cat-and-mouse, continually pursuing invisible attackers that can out-think, out-run and outsmart most security systems. No matter how efficient and nimble the professionals are, the attackers are fast, too. And are getting faster every day. As a result, endpoints remain vulnerable.
CylanceOPTICS provides a prevention-first approach to EDR that delivers automated machine learning, threat detection modules designed to uncover threats that would be nearly impossible to find with static behavior rules.
To be sure your endpoints aren’t the weak link against cyber threats, it’s time to embrace the new approach to EDR, built on a strong Artificial Intelligence (AI) foundation and rooted in threat prevention. Are you ready for smarter EDR?
A new approach to EDR: When a threat is thwarted, security staff must be able to capture critical data and perform a root cause analysis to understand the origin of the attack and how an attacker attempted to compromise the endpoint.
Visibility informs action: If a computer behaves irregularly or it is determined that an endpoint may be at risk of compromise, an organization’s security toolkit must deliver the visibility required to make definitive judgments.
Expose hidden threats: Take the next step, locate and expose hidden threats where they can be mitigated. Long considered a task for elite security analysts, AI-Driven EDR simplifies the process, making it available to every member of your security team.
Automate Threat Detection: To root out threats before they can cause serious damage, an automated approach to threat detection that combines static, machine learning and custom rules is required to identify and block advanced threats.
Download Classifying AI-Driven EDR Capabilities.
Ackcent has a strategic MSSP partnership with Cylance, awarded last year as the top partner in Southern Europe. Our MDR service (Managed Cylance) provides best-in-class protection, detection and response using AI to identify and prevent widespread security incidents.
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