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Big Data Management

Netenrich Shift into Data Analytics-Driven Autonomic Security Operations at Google Cloud Next '23

Netenrich Shift into Data

Netenrich, featuring Resolution Intelligence Cloud™, a secure analytics operations company, today announced its participation at Google Cloud Next '23, on August 29 - 31, 2023, at booth #1631, Moscone Center in San Francisco, California. The company invites security and IT professionals to see how our Resolution Intelligence Cloud advances a modern SecOps approach to manage security aligned to business risk.

For enterprises and digital native businesses (including ISVs) looking to transform their operations, Resolution Intelligence Cloud is a clear choice. Unlike legacy SOC architectures and security tools that fail to scale and handle massive data, the Netenrich platform disrupts current architectures with a built-from-the-ground-up platform centered around data analytics, automation, and engineering-led operations.

Security operations is a big data problem. The growing volume and complexity of data flowing in and out of organizations have created new challenges in managing digital risk. Existing SIEM solutions cannot scale with the velocity of data growth, without taxing security budgets and draining existing resources.

Harnessing the power of data analytics provided by Google Cloud, Resolution Intelligence Cloud takes a quantitative lifecycle approach to assessing, identifying, and managing digital risk to reduce the toil of security operations. The platform focuses on key areas, including

Analytics-driven decision making to allow organizations to assess critical events, rapidly identify the best personnel to take action, keep customers and stakeholders informed, and drive continuous improvement through rich postmortem analytics. Situation analysis using quantitative risk scoring and contextual evidence to proactively assess threat likelihood and impact severity. By targeting and providing the right on-call personnel with a full view into a situation, teams can rapidly remediate and resolve issues--when applicable, through automation--while notifying stakeholders in the process. Cross-functional communication and collaboration, so teams and key stakeholders can better coordinate actions for situation analysis with actionable insight. Granular capture and analysis of event timelines to drive better prioritization and categorization to ensure that an organization remains focused on delivering the best customer experience and executing on the most important tasks.

With Resolution Intelligence Cloud, Netenrich helps organizations become operationally mature as they shift to Autonomic Security Operations (ASO). The approach is a combination of philosophies, practices, and tools that improve an organization's ability to withstand security attacks through an adaptive, agile, and highly automated approach to threat management.

The shift optimizes overall operations while maximizing security efficacy. Processes, workflows, and systems are improved. Human toil is reduced. The right people with the right expertise (high-level analysts and engineers) gain the time and insight to focus on high-value work. It's about building operational scale to align security to business risk, and meeting the needs of the growing business.

For all ISVs, DevOps, and software developers who are building their applications stack on Google Cloud, come talk to us as we help transform and scale your operations. Visit Netenrich at Google Cloud Next '23.

About Netenrich

Netenrich makes data the solution, not the problem. With Resolution Intelligence Cloud™, our secure analytics operations platform, we turn complex big data into actionable intelligence so enterprises can manage security to business risk. The platform leverages a cybersecurity mesh architecture to converge security and digital operations. Its data engineering, multitenant, and automation capabilities optimizes current security systems to achieve petabyte scale and speed. More than 3,000 global customers rely on Netenrich to increase operations effectiveness, improve ROI, and ensure cybersecurity and business resilience.

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The complexity of enterprise data systems has increased, and previous computing revolutions, such as cloud computing, social media, and mobile technologies, have generated isolated pockets of customer data. Furthermore, Salesforce ensures automatic upgrades three times a year, with the metadata framework safeguarding integrations, customizations, and security models from disruptions. This enables organizations to seamlessly incorporate, expand, and evolve their use of Salesforce as the platform evolves. The Einstein 1 Data Cloud, which supports large-scale data and high-speed automation, paves the way for a new era of data-driven AI applications. This real-time hyperscale data engine combines and harmonizes customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data, culminating in a unified customer view. 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Salesforce's latest iteration of Einstein introduces a conversational AI assistant to every CRM application and customer experience. This includes: Einstein Copilot: This is an out-of-the-box conversational AI assistant integrated into every Salesforce application's user experience. Einstein Copilot enhances productivity by assisting users within their workflow, enabling natural language inquiries, and providing pertinent, trustworthy responses grounded in proprietary company data from the Data Cloud. Furthermore, Einstein Copilot proactively takes action and offers additional options beyond the user's query. Einstein Copilot Studio: This feature enables companies to create a new generation of AI-powered apps with custom prompts, skills, and AI models. This can help accelerate sales processes, streamline customer service, auto-generate websites based on personalized browsing history, or transform natural language prompts into code. 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Read More

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