When it comes to cyber security, one thing is clear: the most potent threat vectors into any organization are its endpoints. Your endpoints represent fertile ground for attacks because their users, applications, and services often have elevated privileges that give cyber criminals an easy on-ramp to the inner workings and data within your organization.
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Carbon Black
Enterprise security teams struggle to get their hands on the endpoint data they need to investigate and proactively hunt for abnormal behavior. Security and IT professionals currently lack the ability to see beyond suspicious activity and need a way to dive deeper into the data to make their own judgments. Start leveraging unfiltered data to make the most of your threat hunt. CB ThreatHunter - on our Predictive Security Cloud - allows for just that. Join our webinar to learn about: Our best-of-breed threat hunting. How to utilize unfiltered data gathered from all protected endpoints.
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IBM
Today’s threat landscape requires businesses of all sizes to gain visibility and control over sensitive data in order to comply with a tangled web of security and privacy requirements. Addressing insider threats and defending intellectual property, customer data and other confidential information across hybrid and multi-cloud environments can overwhelm even the savviest of security and IT teams, especially when resources are scarce. However, data security defenses don’t have to be costly or overly complex to carry out.
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Bank information security
Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype. Machine learning can be made intuitive and available directly to fraud experts. A multi-faceted strategy can turn fraud prevention expertise into a revenue generator for the business. Register for this webinar and join Marc Trepanier, Principal Fraud Consultant at ACI Worldwide, and leading industry analyst Julie Conroy of Aite Group as they discuss real-life use cases that demonstrate how banks can: Improve data management control costs while reducing the compliance and regulatory risks.
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