Frequently Asked Questions

A resource that can help individuals and organizations get quick answers to common questions and gain a better understanding of cybersecurity best practice.

  • What is SASE?

    Secure Access Service Edge (SASE) pronounced “sassy,” is a cloud-based architecture that delivers network and security services meant to protect users, applications, and data. This term was coined by Gartner in 2019 and has quickly risen through the ranks to become one of the top aspirational security concepts of the current decade so far. Given that many users and applications no longer live and operate on a corporate network, access and security measures can’t depend on conventional hardware appliances in the corporate datacenter.

    SASE promises to deliver the necessary networking and security capabilities in the form of cloud-delivered services. Done properly, a SASE model eliminates perimeter-based appliances and legacy solutions. Instead of delivering the traffic to an appliance for security, users connect to the SASE cloud service to safely access and use web services, applications, and data with the consistent enforcement of security policy.

  • What is SSE?

    Security Service Edge (SSE) is the convergence of multiple cloud-based security services as the other half of a Secure Access Service Edge (SASE) architecture. SSE benefits your business through a singular architecture that simplifies your security, reduces risks, offers inline visibility, provides granular control of data, and creates preventative measures through advanced analytics capabilities.

  • What is NDR?

    Network Detection and response (NDR) is a security tool that monitors an enterprise's network traffic to gain visibility into potential cyberthreats. NDR relies on advanced capabilities, such as behavioral analytics, machine learning, and artificial intelligence to uncover threats and suspect activities. An NDR powered by should be machine learning (ML) anomaly detection, high-risk CVE exploit identification, contextual threat hunting, and streamlined incident response with forensics capabilities. Including  post-compromise detection to expose successful intrusions originating from social engineering, credential abuse, and supply chain attacks too are features of a strong NDR solution.

  • What is SD-WAN?

    A software-defined wide area network (SD-WAN) is a wide area network that uses software-defined network technology, such as communicating over the Internet using overlay tunnels which are encrypted when destined for internal organization locations.

    If standard tunnel setup and configuration messages are supported by all of the network hardware vendors, SD-WAN simplifies the management and operation of a WAN by decoupling the networking hardware from its control mechanism. This concept is similar to how software-defined networking implements virtualization technology to improve data center management and operation.[1] In practice, proprietary protocols are used to set up and manage an SD-WAN, meaning there is no decoupling of the hardware and its control mechanism.

  • How do you deliver a superior Hybrid work experience

    A well-implemented hybrid work model will increase productivity and lower real estate costs, while simultaneously improving employee recruitment and retention. But what does a winning hybrid work approach look like?

    Work from Anywhere: Enjoy fast, secure, ubiquitous access to web, cloud, and private app resources from home or private networks.

    Branch Transformation: Come back to the office with a speedier, more efficient network architecture.

    Any device: Work equally effectively from corporate or personal devices, and safely interact in IoT environments.

    Hybrid work starts with a Secure Digital Transformation process. Building atop a converged security platform can help your organization successfully transform and unlock the full potential of a hybrid work environment.

    • Channel your hybrid workforce through a single cloud security platform (Intelligent SSE)
    • Deliver zero trust across all transformation stages (Zero Trust)
    • Threat protection like no other (Threat Protection)
    • Manage cloud risk exposure with a 360° view of activity (Advanced Analytics)
    • Keep a watchful eye on risky user behavior (Insider Risk)
    • Discover, manage, and secure IoT devices across your hybrid enterprise (IoT Security)
    • Ensure a superior end-to-end digital experience (Digital Experience Management)
  • What should be the Key Consideration for Cloud Protection

    • Compliance

    Whether you need to comply with mandates such as HIPAA, GDPR, GLBA, PCI, or another regimen, a robust  solution should  cover so you can pass audits. With DLP, you can construct activity audit trails, create summary compliance reports, protect sensitive data with strong encryption, and manage data incidents.

    • Data Visibility and Context

    Understand where your most sensitive data is flowing and how it’s being used, including sensitive data at rest in managed cloud services and data in motion for cloud services and within web traffic. Enrich visibility and decision-making by understanding the identity, device, behavior, browser, location, activity, and threat risk surrounding data.

    • Prevent Data Loss

    Anomaly detection combined with DLP capabilities can correlate the download of sensitive data and detect data movement that could signal data exfiltration. Zero trust principles leverage contextual policies to enable granular, least-privileged data access along with continuous assessment that dynamically adapts that access as context changes.

    • Converged Data Protection

    Consolidate data protection across web, SaaS, IaaS, email, private apps, and devices, eliminating the need for multiple siloed data protection solutions and policies. Instead, data is classified once, with a single policy enacted across all vectors, with incidents managed on a single pane of glass.

    • Streamline Operations

    Dramatically simplify DLP implementations with advanced data protection capabilities. Machine Learning and data profiles automate large parts of the data classification and discovery process, Advanced Analytics provides insights about data that enables organic, proactive policy definition, while automated workflows can block, quarantine, or encrypt data.

    • Superior User Experience

    Boost end-user agility with flexible context-driven policies that grant risk-appropriate access to apps and data, as well as a lightweight unified agent with cloud-based inspection that minimizes the impact of DLP on the user experience.

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