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A prime example comes from Resecurity , a Los Angeles-based cybersecurity vendor that has been helping organizations identify, analyze, and respond to cyberthreats since its launch in 2016. Using AI-driven analytics, we’ve automated many routine security tasks and enhanced our threat detection accuracy.
Data Security Cloud Security Security Intelligence Lynne Murray | Director of Product Marketing for Data Security More About This Author > Organizations worldwide face a perfect storm of increasing and ever-evolving cyberthreats. Figure 2: Percentage of sensitive data in the cloud 2.
To achieve comprehensive data protection and mitigate this significant vulnerability, you must know where all your sensitive data is and all paths to it. This requires comprehensive data discovery and classification for structured, semi-structured, and unstructureddata across all stages of the data lifecycle: 4.
SentinelOne claims the technology will allow it to eliminate most data schema requirements and offer an XDR platform that can ingest logs and other unstructureddata in real time from virtually any source or database, something the company is keen to incorporate into its extended detection and response platform.
Three Keys to Modernizing Data Security: DSPM, AI, and Encryption andrew.gertz@t Tue, 01/21/2025 - 14:56 Organizations worldwide face a perfect storm of increasing and ever-evolving cyberthreats. This traditional piecemeal approach comes at a high cost, often increasing cyber vulnerabilities.
To achieve comprehensive data protection and mitigate this significant vulnerability, you must know where all your sensitive data is and all paths to it. This requires comprehensive data discovery and classification for structured, semi-structured, and unstructureddata across all stages of the data lifecycle: 4.
Cloud services offer security mechanisms to protect against cyberthreats, however, data security challenges in the cloud remain relevant and require special attention. Automate data protection with centralized policy-based enforcement : from a single pane of glass for structured, semi-structured, and unstructureddata.
Cloud services offer security mechanisms to protect against cyberthreats, however, data security challenges in the cloud remain relevant and require special attention. Automate data protection with centralized policy-based enforcement : from a single pane of glass for structured, semi-structured, and unstructureddata.
It provides the necessary context and insights for DE teams to effectively design and implement detection mechanisms that safeguard an organization’s valuable assets against evolving cyberthreats. Apart from use for hunting clues or pivots, such intel has limited value for immediate detection.
It provides the necessary context and insights for DE teams to effectively design and implement detection mechanisms that safeguard an organization’s valuable assets against evolving cyberthreats. Apart from use for hunting clues or pivots, such intel has limited value for immediate detection.
Increasingly, personal privacy is being viewed as a human right, and the way vendors handle consumer and employee data will determine how much the public trusts them and wants to conduct business with them. Protecting unstructureddata will likely be one of the biggest challenges in the new year. Danny Lopez, CEO, Glasswall.
Going deeper into the details of robust data encryption, federal agencies and private companies will have to practice two essential controls: data discovery and key management. You cannot encrypt and protect all your data at rest unless you know where they reside – in the cloud, on-premises, databases, structured and unstructureddata.
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