Enterprise Technology & Cloud Services / Enterprise security

The Pure Enterprise Data Cloud (EDC) is a unified data management platform that integrates Pure Storage's existing technologies—Purity storage OS, Fusion, Pure1, and Evergreen—into a single cloud-like storage management environment. It provides enhanced visibility, policy-driven management, and orchestration of storage, server, networking, and application configurations across on-premises, hybrid, and cloud environments. This unified approach simplifies management, reduces silos, and supports as-a-service consumption models, enabling businesses to better control and automate their data storage operations.

Pure Fusion acts as a storage-as-code control plane within the Enterprise Data Cloud, enabling centralized management of all storage arrays as endpoints in a unified data mesh. It automates complex deployment configurations through intelligent presets that handle quality-of-service, protection levels, and performance requirements. Fusion streamlines storage fleet management from a single interface and supports automated workflows that integrate storage with computing, networking, and applications, facilitating complex tasks such as multi-site database replication and cloud integration.

An enterprise browser is a specialized browser designed to provide a secure environment for accessing web applications and resources, even on unmanaged devices. It incorporates security measures such as zero trust practices, multi-factor authentication, and device posture assessment to ensure that interactions with corporate resources are protected and compliant with organizational policies.

Enterprise browsers enable secure access for third-party users by integrating with solutions like Zscaler Private Access (ZPA), allowing contractors to use their own devices while maintaining strict security controls. This setup streamlines user onboarding, reduces operational complexity, and ensures that sensitive data remains protected through features like data loss prevention (DLP).

Security Service Edge (SSE) is a cloud-delivered security solution that secures access to the web, cloud services, and private applications regardless of the user's or device's location. It integrates multiple security functions such as secure web gateway (SWG), zero trust network access (ZTNA), cloud access security broker (CASB), and firewall as a service (FWaaS) to protect users from malicious content and provide enhanced security and visibility. SSE is important because it addresses the challenges of securing distributed cloud applications and mobile users, which traditional data center-based security solutions struggle to manage efficiently, especially in the context of remote work and digital transformation.

Being named in Gartner's Magic Quadrant for Security Service Edge means that Cloudflare is recognized as a significant and competitive provider in the SSE market. Gartner's Magic Quadrant evaluates technology providers based on their ability to execute and completeness of vision, categorizing them as Leaders, Visionaries, Niche Players, or Challengers. Cloudflare's inclusion for the third consecutive year highlights its innovative SSE platform and its strong position in delivering robust security solutions that support organizations undergoing digital transformation.

A multi-layered approach in endpoint security involves using multiple layers of protection, such as endpoint protection platforms (EPP), endpoint detection and response (EDR), and data loss prevention (DLP), to safeguard against various cyber threats. This approach is crucial because it provides redundancy and ensures that if one layer is breached, other layers can still protect the endpoint and data[2][3].

A multi-layered security approach contributes to organizational resilience by providing multiple barriers against cyber threats. This ensures that even if one layer is compromised, other layers can prevent the spread of threats, thereby protecting data integrity and maintaining business continuity[1][4].

Ground-Truth is a cybersecurity and data observability service that automates the detection of threats and vulnerabilities using AI, machine learning, and quantum-inspired algorithms. It processes up to 20TB of data daily, operates 1000 times faster than traditional methods, and reduces event alerts by 90%, significantly lowering false positives. This enables governments and enterprises to detect unknown cyber threats and anomalies in real time, maintain operational agility, and comply with regulatory and security requirements.

Deploying Ground-Truth on Oracle Cloud Infrastructure (OCI) allows customers to scale advanced AI-driven threat detection across Oracle's distributed cloud network, including public, government, sovereign, and dedicated regions. This deployment helps customers address data residency requirements, reduce operational costs, and benefit from OCI's built-in security, high performance, and flexibility, while improving the speed and accuracy of detecting cyber threats.

Key objectives include standardization, scalability, security and compliance, and cost optimization. Standardization ensures consistency across all landing zones, scalability accommodates growing business needs, security and compliance protect resources and data, and cost optimization manages expenses effectively.

AWS uses AWS Control Tower to automate the setup of landing zones with best practices and customization options. Azure provides design principles and implementation options for enterprise-scale landing zones. Google Cloud emphasizes team collaboration and project management for designing and deploying landing zones.

SSE platforms provide centralized enforcement and policy control for securing hybrid work and SaaS access, but they often fail to monitor or control critical user activity occurring directly within browsers. This oversight leaves organizations vulnerable to threats that originate or manifest at the browser level, such as data exfiltration, unauthorized AI tool usage, or malicious web content, which can bypass traditional SSE protections.

Organizations can address this gap by deploying secure enterprise browsers, which offer granular visibility and control over user actions within browsers, including SaaS and web apps. These browsers enable IT to enforce context-based policies, monitor encrypted traffic without decryption, and restrict risky activities such as unauthorized data sharing with AI tools, thereby extending security to the 'last inch' of user interaction.

External Attack Surface Management (EASM) is the practice of identifying and managing potential vulnerabilities and security gaps in an organization's public-facing digital assets. It is crucial for modern digital risk protection because it helps organizations proactively identify and mitigate risks associated with their external digital footprint, thereby reducing the likelihood of cyberattacks and improving overall cybersecurity posture.

EASM helps organizations address threats like shadow IT and supplier risks by providing comprehensive visibility into their external attack surface. This includes identifying and mitigating risks associated with unauthorized IT assets (shadow IT) and third-party vendors. By integrating threat intelligence, EASM tools enable organizations to prioritize remediation efforts based on the severity and potential impact of each risk, thereby enhancing proactive defense against these threats.

Continuous monitoring is crucial in cloud security as it helps identify and address misconfigurations and security threats in real-time. This proactive approach ensures that vulnerabilities are detected before they can be exploited by attackers, thereby reducing the risk of data breaches and other security incidents[3][4].

Strong access management, often implemented through Identity and Access Management (IAM) systems, ensures that only authorized personnel have access to cloud resources. This limits the potential damage from insider threats or unauthorized access, thereby enhancing overall cloud security[1][5].

The partnership addresses the fragmentation of managing software across on-premises devices and cloud/SaaS applications, which traditionally requires multiple vendors. It provides a unified solution for governance, visibility, and cost optimization across all software deployment types.

By integrating HCL BigFix's endpoint management with CloudEagle.ai's SaaS optimization platform, the partnership enables AI-driven discovery of unmanaged apps, license optimization, and automated compliance workflows—reducing manual oversight and security risks associated with shadow IT.

Traditional security tools focus on network and endpoint protection but fail to address browser-specific threats like phishing, credential theft, and GenAI-driven data leaks. Modern enterprise browsers embed security directly into browsing activity, providing real-time threat detection and compliance controls for SaaS and hybrid work environments.

Enterprise browsers now implement PII/PHI redaction and monitor LLM interactions to prevent sensitive data leaks in GenAI prompts. They also enforce policies to block unauthorized AI tool usage, addressing the 23% of employees who inadvertently expose data through AI platforms.

Storm-0558 was a cyberattack attributed to a China-based threat actor that occurred in 2023, targeting sensitive Exchange Online mailboxes. The attackers gained access by exploiting a private Microsoft Account (MSA) signing key that was inadvertently exposed in a crash dump on a Microsoft debugging server due to software bugs. This key allowed them to forge security tokens, which bypassed verification flaws in Azure services, enabling unauthorized access to both private Microsoft accounts and Azure Active Directory (Entra ID) accounts. The breach affected about 25 organizations, including U.S. government agencies and private individuals associated with them.

In response to the Storm-0558 breach, Microsoft launched its Secure Future Initiative (SFI) to enhance security for Entra ID and Microsoft Account (MSA) services. As part of this effort, Microsoft purged millions of cloud tenants to remove potentially compromised or inactive accounts and to strengthen overall cybersecurity defenses. This large-scale tenant purge was aimed at mitigating risks from the breach, closing security gaps exposed by the attack, and preventing further unauthorized access to cloud resources.