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The history of cybersecurity is a tale of constant evolution, marked by the rise and fall of various defense mechanisms in the face of ever-changing threats. Security tools such as antivirus software and firewalls have long been the stalwarts of cyber defense, forming the bedrock of protection for organizations worldwide. While effective in their time, …
Gartner recently released its report Emerging Tech: Top Use Cases for AI in Threat Detection, Investigation, and Response, highlighting how security leaders utilize artificial intelligence (AI) to enhance detection, streamline investigations, and automate response to cyber threats. With increasingly frequent and sophisticated attacks, AI represents a crucial opportunity to augment human security teams.
AI-driven threat detection and response solutions can significantly enhance the defense against ransomware attacks. These solutions provide advanced capabilities for detecting, analyzing, and responding to ransomware attacks.
Defense-in-depth is a cybersecurity strategy that emphasizes deploying multiple layers of security controls and countermeasures to protect critical assets and mitigate the impact of potential attacks.
PwC’s survey findings are similar to what we found in our State of Cloud Security Report, released September 2023. The report reveals significant cloud security concerns, gaps in capabilities and skills, over-reliance on legacy tools, and a need for real-time and unified solutions to provide robust protection across complex multi-cloud environments.
One of the key areas that the Gartner report highlights is AI Enhanced Security Operations. The research observes that most AI development in security products so far has focused on detecting threats, but there is increasing potential to use AI to improve security operations and incident response.
We explore why identity threats are so hard to detect, the limitations of legacy threat detection solutions, the types of identity threats organizations face, recent examples of identity breaches, and the role of Advanced Behavioral Detection Analytics Enhancing with AI in stopping identity-based attacks.
On October 30, 2023, the White House issued an Executive Order promoting safe, secure, and trustworthy artificial intelligence (AI) deployment. This Executive Order recognizes the global challenges and opportunities presented by AI and emphasizes the need for collaboration, standards development, and responsible government use for national security.
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.
Gartner recently released their annual Emerging Tech Impact Radar: Security. This report analyzes 23 emerging technologies and trends that will shape the future of cybersecurity products and services. It provides insights to help security leaders develop strategies and roadmaps to capitalize on these innovations.
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.
Zero Trust is an evolving security framework that operates on the principle of “never trust, always verify.” It assumes no user or device should be inherently trusted, regardless of location or network connection. Instead, resource access is granted based on continuous verification and monitoring of various factors, such as user behavior, device health, and network conditions.
Several AI approaches are used in cybersecurity, but it’s hard to make sense of the noise, especially when vendors say the same thing. In our newest eBook, we’ll explore what they are and the pros and cons of each one.
In our newest eBook, we discuss the limitations of relying on endpoint alone for identifying and addressing identity-based threats and explore the importance of adopting a multi-layered approach and the right ITDR solution.
We cover the key benefits of adopting ATT&CK, best practices for utilization, how it can aid threat hunting and investigations, and how it’s integrated into The MixMode Platform.
MixMode is excited to announce the availability of our MixMode Cloud Detection and Response for AWS solution in the AWS Marketplace. This makes MixMode one of the first truly real-time, cloud-native detection and response solutions available through AWS Marketplace, highlighting the growing need for advanced threat detection and response capabilities explicitly tailored for cloud environments.
he new State of Cloud Security Report from MixMode summarizes input from 588 security professionals and reveals significant gaps in organizations’ abilities to secure cloud platforms and workloads. Despite multi-cloud adoption reaching mainstream levels, critical capabilities for cloud security, such as real-time threat detection and response, comprehensive visibility, workload protection, and data security, still need to be improved.
The Securities and Exchange Commission (SEC) recently adopted significant changes around cybersecurity risk management, strategy, governance, and incident disclosure requirements for public companies.
MixMode announce today the availability of its quarterly Generative AI Platform update. Continuing to innovate with new features that drive threat detection and response capabilities in large data environments, the latest updates include expanded cloud data ingestion capabilities, including support for the ingestion of Identity Data, integrations with the MITRE ATT&CK Framework, and expanded deployments across cloud environments.