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Introducing Tenzir Security Data Pipelines

· 5 min read
Oliver Rochford

We're overjoyed to announce our highly-anticipated security data pipeline platform at the renowned BlackHat conference in Las Vegas. The launch marks a milestone in our journey to bring simplicity to data engineering for cybersecurity operations, and to bring a cost-efficient way to tackle the increasingly complex data engineering challenges that security teams confront daily.

Security Data Operations for the Automation Age

The volume of data that needs to be collected, analyzed, and stored by security teams has skyrocketed. Traditional security operations tools are increasingly overwhelmed, leading to an urgent need for more efficient and effective solutions. Tenzir addresses this challenge head-on, simplifying data management so that security teams can focus more on identifying and mitigating threats.

In the words of our CEO and founder, Matthias Vallentin, "To survive in today's unforgiving threat landscape you need fast, near real-time and extensive historical data. Tenzir pipelines help security teams speed up and simplify managing the data they need, so that they can spend more time doing what is most crucial—hunting threats."

Why Data Pipelines for Security?

Cybersecurity has become an increasingly data-driven field. From network traffic to cloud telemetry, the amount of information that security teams need to analyze is staggering. A single security incident can generate billions of data points that need to be reviewed, analyzed, and actioned. Traditional methods of collecting, aggregating, and analyzing this data are not just insufficient, they are obsolete, leading to security gaps and cost inefficiencies.

Navigating the modern security data stack is no small feat. Today's security teams are faced not just with the management of a horde of advanced security solutions including SIEM, SOAR, UEBA, and threat intelligence platforms, but also the challenge of integrating these systems with diverse data technologies, such as databases, data lakes, and data warehouses. Compounding this complexity is a growing reliance on cloud microservices and increasingly AI services. This has made security operations less of a routine process and more a strategic exercise in continuously mastering emergent complexities and optimizing performance.

This is where Tenzir's security data pipelines come in. Our unique platform instigates a shift from centralized security information and event management to a more adaptive and decentralized operating model more aligned with DevOps and data engineering principles: security data operations (SecDataOps). It transcends mere collection of events and logs, instead building resilient and robust data flows that optimize data for further use, whether for detection and correlation, threat hunting, or machine learning. Data pipelines are already common in data engineering and DevOps. They are designed to provide a seamless, efficient, and flexible way to manage and move data. But there are a number of reasons why data pipelines are also the ideal solution for today's cybersecurity challenges.

  • Firstly, security data pipelines optimize and formalize data management. They allow for the standardized collection, shaping, enrichment, and routing of data between any security and data technology. They also provide a measurable, repeatable and more cost-effective approach to solve the growing data engineering challenges typically faced by security teams. As they are designed specifically for security use-cases, they also allow security teams to meet their own data needs.
  • Secondly, and in today's economic climate more crucially, security data pipelines reduce consumption-based costs. By moving only the right data to the right place at the right time in the most efficient way, and by pushing detection and enrichment workloads to the network edge, businesses can drastically reduce their SIEM, cloud, and other data costs. Security operations become more efficient and cost-effective, ultimately allowing more data to be collected, and scarce money to be reallocated.
  • Thirdly, security data pipelines help avoid vendor lock-in. Tenzir is built on open data and security standards, making data exchange between different technologies trivial. Pipelines also connect diverse tools and solutions as needed, enabling organizations to choose whatever solutions fit best for them, and to better adapt to evolving.
  • Finally, the flexibility and scalability of security data pipelines are unmatched. They can scale up or down according to need. They also make it easy to support new data types and security scenarios, helping to future-proof your security architecture, and providing operational plasticity and resilience.

Security data pipelines are transforming the security operations landscape by providing a more effective and efficient way to manage the ever-growing volumes of security data. As the volume, variety, and velocity of security data continue to increase, the need for more effective data management and analysis tools will only grow as well.

At Tenzir, we are leading this transformation, building an open platform that empowers security teams to build and deploy efficient security data pipelines using plug-and-play building blocks. Our goal is simple—more time for threat hunting, less time and money on data engineering, and a more robust cybersecurity posture overall.

In today's complex cybersecurity landscape, data pipelines are not just for data engineers anymore. They have become indispensable for security teams. The era for security data pipelines isn't on the horizon, it's already here.

Join us on this exciting journey to revamp cybersecurity operations.

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