The world’s first Dynamic Threat Detection Platform
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MixMode’s use cases for your cyber initiatives
How customers in different industries utilize MixMode
Organizations continue to face increasingly sophisticated cyber threats that require a proactive and adaptive approach to cybersecurity. As the volume and complexity of security data grows, security professionals are turning to advanced AI technologies to enhance their capabilities and stay ahead of emerging threats.
As organizations grapple with the limitations of legacy security controls in the face of increasingly sophisticated cyber threats, integrating AI-driven threat detection and response capabilities presents a compelling opportunity to bolster their defenses.
Gartner just released its Emerging Tech Impact Radar: Security, which looked at technologies that could help organizations effectively detect and respond to attacks and create better efficiencies through AI-based security hyper-automation.
Real-time threat detection is crucial for organizations to effectively maintain their security posture and gain enhanced visibility to defend against ever-evolving cyber threats. However, many organizations face challenges implementing and maintaining effective threat detection capabilities. Legacy rules-based solutions and signature-based threat detection are no longer sufficient to protect against malicious activity. And doing it alone can be costly.
In this buyers guide you’ll learn about the many approaches to AI Threat detection and Response, what to look for, benefits, drawbacks, and everything you need to know when choosing an AI platform for your security operations center.
The financial services industry handles vast amounts of highly sensitive financial information, including customer data, transaction records, and intellectual property, making them a prime target for cyber attacks.