Cloud Security Blogs
The latest stories on Cybersecurity, AI, and everything in between from MixMode
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.
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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.
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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.
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MixMode, the leader in delivering generative AI cybersecurity solutions for real-time threat detection and response at scale, today released its annual State of Cloud Security report along with the availability of MixMode Cloud Detection and Response (CDR) for AWS in the AWS Marketplace. The report provides sobering statistics on the gaps enterprises face in securing multi-cloud and hybrid environments.
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Security leaders want to solve problems identifying and understanding anomalies or account access behaviors by correlating anomalous behaviors of specific accounts with other parameters like geography or ingress and egress points, but few rules-based Cybersecurity tools have the ability to do that without a great deal of manual data massaging and manipulating.
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Cybersecurity veterans discuss the challenges large enterprises in the Fortune 1000 face in scaling security monitoring and threat detection across big data environments.
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As enterprises rapidly migrate critical infrastructure and data to the cloud, they lose visibility and control. A recent report shows 80% of organizations encountered a significant security incident related to their cloud infrastructure within the past year.
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One of the key predictions is that by 2027, 50% of chief information security officers (CISOs) will adopt human-centric design practices in their cybersecurity programs to minimize operational friction and maximize control adoption. This approach focuses on designing security controls around individuals rather than technology or threats. It recognizes that employees play a crucial role in cybersecurity and aims to reduce the likelihood of risky behavior.
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With the Cloud Era, the IT asset estate has expanded, and there is a diverse set of attack surfaces to defend. The term “attack surface” describes the growing IT asset estate, but there is no parallel term to describe where we can detect or respond to attacker activity.
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As organizations increasingly operate within a hybrid on-premises and cloud environment, the need for advanced threat detection mechanisms becomes vital. Today I explore how The MixMode Platform leverages AWS CloudTrail and VPC flow logs to detect threats and safeguard your AWS environment.
Read MoreAbout MixMode
MixMode is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. MixMode’s monitoring platform, PacketSled, better understands network behavior as it adapts to baseline changes and enables both misuse detection and anomaly detection, as well as predictive maintenance. Used by enterprises and MSSPs for real-time network analysis, threat hunting and incident response, the platform leverages continuous stream monitoring and retrospection to provide network forensics and security analytics. Security teams can integrate PacketSled into their orchestration engine, SIEM, or use PacketSled independently to dramatically reduce false positive alerts and the resources required to respond to persistent threats, malware, insider attacks and nation state espionage efforts.
The company has been named an innovator in leading publications and by security analysts, including SC Magazine, earning a finalist award in 2018 and 2019 for "Best Computer Forensic Solution.” Based in Santa Barbara, with offices in San Diego, the company is backed by Keshif Ventures and Blu Venture Investors. For case studies, continuous product updates and industry news, please visit us at www.mixmode.ai.