Commvault Enhances Data Security Features to Address AI-Related Vulnerabilities and Risks.
- Commvault enhances data security with Satori acquisition, focusing on data security posture management and real-time governance.
- New AI-enabled tools help identify sensitive data exposure, strengthening protection against potential AI-related threats.
- Commvault's Cloud Threat Scan upgrade introduces advanced threat hunting modes for quick detection and recovery of risks.
Commvault Strengthens Data Security Capabilities Amid Growing AI Risks
Commvault Systems, a prominent player in unified enterprise resilience, announces a significant enhancement of its data security capabilities following the acquisition of Satori. The new features target data security posture management (DSPM) and real-time data access governance, mainly addressing the vulnerabilities associated with structured databases that are increasingly crucial for artificial intelligence applications. Centered on data discovery, classification, and risk assessment, this upgrade aims to bolster the security framework for both structured and unstructured data. Presently, a staggering 90% of organizations are reported to have exposed sensitive data susceptible to AI-based exploitation, raising alarms amidst an already precarious data security landscape.
The innovation equips organizations with advanced tools to identify and assess sensitive data exposure, enabling them to prioritize remediation efforts efficiently. Commvault’s latest offerings integrate AI-enabled classification capabilities that automatically pinpoint sensitive data and oversee structured data access. This proactive approach mitigates the risk of data leakage that often threatens the integrity of AI models. As organizations transition to cloud and AI frameworks, comprehensive visibility into data environments becomes essential. Yoav Cohen, Vice President of Commvault, underscores the need for enhanced safeguards as sensitive data remains increasingly dispersed across various systems, with compliance burdens heightening in the face of stringent privacy regulations.
The overarching goal of this upgrade is to empower businesses to navigate a complex data security landscape effectively. By providing visibility into data management across hybrid and multi-cloud environments, Commvault’s innovations facilitate proactive risk management and enhanced recovery strategies following incidents. Organizations can now utilize these capabilities not only to protect sensitive data but also to strengthen their resilience against potential breaches. Through these advancements, Commvault reaffirms its commitment to helping businesses better safeguard their information assets amid escalating threats.
In a parallel development, Commvault enhances its Cloud Threat Scan with upgraded threat hunting capabilities. The latest update introduces two scanning modes: Hyper Threat Hunting and Deep Inspection, aimed at swiftly identifying risks in backup environments. Given that the median dwell time for undisclosed breaches is notably long, these tools facilitate rapid detection and recovery of compromised data. Furthermore, Commvault’s synthetic recovery technology integrates with threat detection, enabling organizations to efficiently isolate and remove compromised datasets once risks are identified.
As the cybersecurity landscape evolves, organizations face the pressing need to reinforce their defenses. Commvault's recent advancements play a crucial role in aiding enterprises to combat potential threats while maintaining seamless operations in an increasingly complex digital environment.
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