As emphasized in our previous blog, building AI-NATIVE Security Operations Center (SOC), Holistic data integration It is the first cornerstone of modern safety operations. Without it, even the most advanced artificial intelligence tools and automated processes can fail. In this sequel, we dive deeper into the developing role of telemetry as the basis for the integration of holistic data. Telemetry has long been an unpaved hero of security operations, providing unprocessed signals from systems, applications and endpoints. Yet for many organizations it remains fragmented – scattered across instruments, covered with noise and disconnected from wider strategies.
In the native SOC with artificial intelligence, this partial approach is no longer viable. Telemetry must develop from non -processed, unrelated data streams in a uniform, context -rich basis for security decision -making. This development is not about collecting more data; It is a strategic integration and transformation of this data to support usable intelligence. This new perspective is encapsulated Telemetry-element design and Telemetry as a platform (taap)—DVA visionary concepts to newly define security operations.
Telemetry-element design
Telemetry in its core means automated collection, transmission and analysis of data from systems, devices or applications. In the context of security operations, telemetry includes protocols, metrics and events generated by networks, infrastructure and applications. Imagine the construction of a skyscraper without first making sure the foundations are solid. This is the security strategy when telemetry is considered an additional idea. Telemetry-element design It reverses this head access by prioritizing the collection, normalization and contextualization of data over the implementation of any automation tools or AI models.
This vision requires a change in thinking:
Prefer the completeness over comfort. Any potential source of telemetry from networks, infrastructure and applications must be captured and integrated.
Focus on context, not just content. Uncooked signals must be enriched with metadata that provide business, user and system context and convert them into previews.
Ensure interoperability. It decomposes a silo and allows trouble -free data flow across AI models, automation systems and human analysts.
This proactive approach ensures that SOC works with comprehensive visibility in real time and creates a solid foundation for all subsequent processes in Ai-Native soc.
Telemetry as a platform (taap)
As organizations accept the principles of telemetry-first, there is another strategic boundary: Telemetry as a platform (taap). The TAAP represents the culmination of the advanced data integration strategy, where with telemetry is no longer treated as a static source, but as an active activator of the SOC capability. TAAP is not just about centralizing data; It is about building an intelligent, scalable platform of the data lake, which serves as an operating spine soc.
With TAAP, this approach is fundamentally redesigned:
Unified Insight: TAAP brings together telemetry across all sources – internal systems, external sources and partner ecosystems – into a single, usable story.
Dynamic adaptability: It develops in a tandem with a business context, smoothly integrates new data streams and responds to the threat.
Authorized decision -making: By incorporating AI and automation directly into the platform, TAAP makes decisions that are faster, smarter and more accurate than ever before.
Re -evaluation of Security Operations Strategy with Taap
By connecting telemetry with artificial intelligence TAAP not only speeds up detection and response, but also provides confidence in the ability of the organization to adapt to even the most pre -disclose threats.
To illustrate the transformation power of telemetry as a platform (TAAP), consider the problem of detecting and alleviating internal threats. This process traditionally relies on several tools that work isolated and analyzes user activity, HR records and endpoints. This fragmented access creates delay, blind places and inefficiency, because analysts must manually compose knowledge of different systems. With TAAP, telemetry is accepted from all relevant sources into a single platform that allows smooth data integration.
Advanced artificial intelligence models can then analyze formulas across this complex data set and identify unusual behavior that could indicate harmful activity. This knowledge is immediately opened through automated workflows that isolated suspicious actions and will alert security teams in seconds. This cohesive strategy based on data not only accelerates the detection and response time, but also increases accuracy, reduces false alarms and dramatically improves operational efficiency.
Accepting Taap for Ai-Native soc
Accepting the attitude of telemetry-first and the transition to Taap is not about the pursuit of the latest technological trends. The point is that your organization can prosper at a time when data is the most valuable source. The path to the native AI begins to re -evaluate its access to the data. The point is to recognize telemetry as a strategic advantage and invest in its potential to unlock new levels of efficiency, intelligence and resistance.
As we move forward, the heads in security operations will be those organizations that control the art of data integration and treat telemetry not only as information, but also as the basis for a smarter, stronger and safer future. And how are the boundaries between business strategy, technological development and cyber security, as you can ensure that your organization’s data infrastructure is not only a reflection of today’s needs, but also a proactive force that predicts tomorrow’s challenges and drives safety and strategic growth? In the increasingly complex world of AI and security operations?
CISCO integration has the potential to redefine the future of security and observability by creating a cohesive data structure that covers networks, infrastructure and applications. This unified layer, which acts as a universal telemetric spine, converts fragmented data streams into useful knowledge that enables real -time threat detection, predictive analysis and automation of compliance. By browning the operating forces with advanced ability to intake telemetry, correlation and analysis, this development prepares a path for observability in multiple domains and native security operations and sets a new standard for durability and adaptability in modern digital ecosystems.
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