New capabilities span PCs, data centres, and AI platforms, integrating quantum-ready protections, AI-powered recovery tools, and advanced threat detection to help enterprises strengthen security posture against evolving cyber risks and next-generation attacks.
Dell Technologies has introduced a comprehensive set of security and cyber resilience innovations aimed at helping organisations combat next-generation threats driven by artificial intelligence and quantum computing. The new capabilities are designed to secure devices at the foundational level, improve detection across complex environments, and accelerate recovery during cyber incidents. The move comes as enterprises face growing risks from increasingly sophisticated attacks targeting high-value data and distributed IT ecosystems.
Quantum-ready security reinforces device foundations
As quantum computing threatens to weaken traditional encryption methods, Dell is embedding security deeper into its commercial PCs with quantum-ready protections. The company has enhanced firmware-level security, including embedded controller safeguards that verify updates using advanced cryptographic signatures designed to resist future quantum-enabled attacks. Additionally, an upgraded BIOS verification capability checks system integrity against a trusted cloud-based reference, enabling early detection of tampering and reducing supply chain risks. These measures aim to protect devices from persistent and hard-to-detect threats that can survive system resets or reinstalls.
AI-powered cyber resilience enhances recovery capabilities
Beyond prevention, Dell is strengthening its PowerProtect portfolio to improve cyber resilience and minimise the impact of attacks. New enhancements to PowerProtect Data Manager include an AI-powered assistant that provides contextual guidance during recovery, helping organisations respond faster during critical incidents. Advanced anomaly detection capabilities enable early identification of ransomware threats by scanning storage snapshots, while unified dashboards simplify management across distributed environments.
The company has also upgraded its PowerProtect Data Domain solutions, including the DD3410 appliance, which delivers faster backup and restore speeds to help organisations resume operations quickly. Support for updated encryption protocols ensures secure data movement and aligns with evolving regulatory requirements, reinforcing trust in data protection processes.
Expanding threat detection across AI data platforms
Recognising the growing importance of AI workloads, Dell is extending its Managed Detection and Response services to cover environments where unstructured data resides. This includes integration with platforms such as PowerScale, enabling improved visibility into potential threats targeting AI data storage systems. Supported by expert cybersecurity teams, the service facilitates early detection and automated response to suspicious activity.
In addition, Dell has introduced a new Endpoint Detection and Response-only option, offering advanced monitoring, investigation, and response capabilities. When combined with Dell PCs, the solution provides deeper insights into system integrity, including BIOS-level alerts, enabling faster incident response and enhanced protection across endpoints.
Commenting on the development, Venkat Sitaram, Senior Director & Country Head – Infrastructure Solutions Group, Dell Technologies India, said: “As AI adoption accelerates in India, security teams must protect growing volumes of high-value data across distributed environments where traditional controls often lack visibility into how threats move across AI workloads and data platforms. Dell’s approach aligns with this evolving need, focusing on strengthening cyber resilience by reducing risk, enhancing security visibility, and enabling organizations to respond to and recover from incidents more effectively. These new enhancements further strengthen device trust through security-by-design, introduce quantum-ready protections, and extend AI-powered threat detection and response across endpoints and AI data platforms to close critical visibility gaps.”
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