Zero trust is a security paradigm that replaces implicit trust with continuously assessed explicit risk and trust levels, based on identity and context, supported by security infrastructure that adapts to risk-optimize the organization’s security posture.
By Ocient Staff
Zero Trust is a new data governance model particularly important to government agencies. Its origins stem from threats to just about every IT system. Nation-state adversaries, cybercriminals, hacktivists, and even insiders look for weakness in security. A compromised credential can expose sensitive data, systems, or citizen records. Agencies want to keep a watchful eye on all IT activity to identify potential risks.
However, keeping an eye on everything, everywhere, is no simple task. Let’s look at some of the challenges government agencies have in implementing Zero Trust at the scale today’s data demands.
What Makes Zero Trust So Hard
At its core, Zero Trust Architecture demands real-time analysis of everything and everyone trying to access anything. That means a solution you design must do data analysis—a lot of it. Agencies must analyze signals from users, devices, networks, applications, and behavioral patterns to evaluate real-time access attempts. Capturing and assessing dynamic signals instantly requires advanced analytics, real-time infrastructure, and long-term data availability.
Massive log files, diverse datasets, and disconnected systems make it hard to build trust scores, segment users, and adapt to real-time risk. Zero Trust becomes little more than a buzzword without a clear strategy, scalable tools, and continuous monitoring.
What It Means to Handle Trillions of Events
Zero Trust lives in two timelines. First, there’s the short game, where you monitor every access attempt, login, and request in real time or near real time. Decisions must be made quickly, sometimes at sub-second speed. Second, there’s the long game, where agencies must store years of historical access and behavior data to support audits, investigations, and compliance reviews. Trillions of records. Terabytes a day. Petabytes over time.
Agencies need a platform with very specific capabilities to operate effectively in the short and long game of Zero Trust. It must support high-concurrency access from multiple teams without bottlenecks. Supporting zero-trust microsegmentation is a critical capability here, limiting the blast radius of malware by managing communication between devices. The platform must also deliver sub-second decision-making for real-time data while maintaining years of behavioral data, instantly accessible for investigations, audits, and continuous policy refinement. Most critically, it must do all this affordably without forcing compromises like downsampling, offloading, or slow cold storage.
Handling Data Pipelines
Another key challenge of Zero Trust is handling diverse data formats from countless sources without compromising performance. You’re not just dealing with CSV and JSON. Think telemetry feeds, clickstreams, and proprietary formats, often simultaneously. Setting up data pipelines to feed this information into a Zero Trust initiative is a big part. You need systems that can ingest, normalize, and analyze at scale without adding latency. If your platform chokes on variety or volume, your Zero Trust model breaks before it begins.
How Ocient Powers Zero Trust at Scale
Ocient combines services and technology to help your IT team solve Zero Trust. By delivering ultra-fast analytics across trillions of records—from access logs and telemetry to application data—Ocient solutions enable agencies to centralize intelligence and enforce Zero Trust policies with precision and speed.
Zero Trust Focus Areas
Ocient doesn’t sell Zero Trust, but we combine our unique software with services from Zero Trust vendors to ensure it all works. With support for massive-scale ingestion, real-time anomaly detection, and historical context, Ocient allows agencies to align identity, access, and risk signals in one place. That’s the foundation needed for dynamic, context-aware trust decisions — and measurable outcomes boards and auditors can track.
The Ocient platform was built for applications like Zero Trust. At its core, the Ocient Hyperscale Data Warehouse is an analytics platform optimized for real-time querying of petabyte-scale data. It was designed to handle trillions of records, not just store them—but actively analyze them with fast response times. When you want to run behavioral analytics across every user, every device, every day, without delay, it’s Ocient that can achieve it.
Ocient’s platform keeps data live and instantly queryable. No archiving. No waiting. It integrates with existing security tools using standard SQL and open APIs. It plays nicely with your ecosystem.
Ocient runs equally well on the cloud and on prem. Some of the most sensitive government data can’t go to the cloud—not without major risks and policy conflicts. An Ocient for on-prem deployment gives agencies total control over data residency, access, and compliance. Yet they still benefit from a modern analytics engine that rivals the speed of top cloud-native platforms. It’s Zero Trust with zero compromise.
Real-World Zero Trust Architecture Use Cases
We’re actively engaged in several Zero Trust initiatives across the U.S. Intelligence Community, focusing on mission-critical use cases involving OSINT, geospatial intelligence, and cybersecurity. These aren’t theoretical exercises, but operational systems designed to ingest massive volumes of data from diverse, often unstructured sources. Whether fusing publicly available information with internal threat intelligence, analyzing geospatial movement patterns, or detecting anomalies across complex cyber environments, each use case reinforces the need for a secure, real-time analytics backbone that aligns with Zero Trust principles.
How Would it Work for You?
Ocient delivers the speed, scale, and control agencies need to implement Zero Trust effectively—on their terms. Contact us to learn how Ocient can help your agency power Zero Trust.