SIEM (Security Information and Event Management) optimization is a continuous process aimed at enhancing the performance, accuracy, and efficiency of SIEM systems to ensure they provide actionable insights and timely threat detection. This process begins with refining data collection to ensure that only relevant and high-quality logs are ingested, reducing noise and the likelihood of false positives. It involves regular tuning of correlation rules and use cases to reflect the latest threat intelligence and organizational changes. By updating these rules, the SIEM system can more accurately detect potential threats and reduce the burden of analyzing false alarms. Additionally, optimizing the parsing and normalization of log data ensures that the SIEM system can efficiently process and correlate information from diverse sources.
Beyond technical adjustments, SIEM optimization also focuses on improving the workflows and response strategies of the security operations center (SOC). This includes integrating automated response capabilities to streamline incident handling and reduce response times. Regularly reviewing and updating incident response plans based on insights gained from previous incidents helps in refining the overall security posture. Enhancing the skills and knowledge of SOC analysts through continuous training and simulation exercises ensures that they can effectively interpret SIEM alerts and take appropriate actions. By combining technical enhancements with procedural improvements, SIEM optimization enables organizations to maximize the value of their SIEM investments, ensuring robust, proactive security monitoring and swift incident response.
This paper discusses the market trends as it pertains to gaining greater data source visibility retained for longer, and how HOOP can support customers successfully adopt a security lake as part of their overall cyber security strategy.
Background
Whilst the market has broadly adopted SIEM for cyber security management, it is universally recognised that this approach is not only expensive and difficult to search, but also has limited data visibility for only a short period of time.
We appreciate that security breaches are complex, involving multiple sources and breaches are typically 3 months+ in nature, therefore the market is openly looking at a new approach.
With is in mind, the industry is fast moving towards the concept of a Security Lake.
The Market
Currently HOOP are seeing three major customer trends in the market today:
Large SIEM environments that need to be optimised from both a cost and visibility perspective.
A desire to migrate away from the existing SIEM environment over the next 12-24 months with a view to building a next generation cyber security management platform.
A lake and SIEM co-exist strategy, providing a richer and more holistic and scalable search capability, whilst retaining the incident alerting and visualisation capability of the SIEM, as well as the SecOps policy integration.
In order to achieve the full potential of the Security Lake, HOOP provides a complementary Proof of Concept programme (including our partners) and provides the following components:
HOOPJam to agree required items and outline requirements
PoC architecture approach and agreed success criteria measures (eg. Normalisation, compression targets, use case, search targets etc)
Stream processor provisioned and Security Lake instantiation configured with agreed pre-PoC criteria
7-Day Data Collection
Use Case Driven Search against agreed pre-PoC criteria
Measures and business case, including filter effectiveness, lake compression, ingest costs, storage costs, license cost reduction
Go/no go Customer Decision
Provision and Build Map Model and Search Architecture and subsequent logic.
HOOP PoC project management, including daily standup
As part of the PoC engagement, the following pre-PoC information is typically required for a successful outcome, which usually takes no more than 2 hours to achieve:
An up-to-date DSA (anything completed in last 12 months that should be sufficient) – this has the specific aim of determining what, where and how we filter
Consideration for provisioning services, eg. Terraform, CloudFormation and user permissions etc
Consideration for stream processing into the lake – HOOP will advise on a consistent OCSF map, which provides consistency, categorisation, compression, and allows for multiple downstream access etc.
Consideration for data storage and access – what is accessed from the lake / retained by the SIEM and how / what is retained in long term storage, and other automatic 3rd party reporting considerations, eg. GRC
Consideration for search – how and where do we search in a more scalable and optimised fashion.
Consideration for use case – HOOP will advise on the development of an advanced threat hunting capability using the agreed search tool of choice.
To find out more about how HOOP Cyber can support you on your Amazon Security Lake journey, contact us via .
Joining the team at HOOP Cyber is a transformative experience for anyone passionate about cyber security and innovation. HOOP Cyber is renowned for its proactive approach to cyber threats, making it an ideal environment for professionals seeking to make a significant impact in the field. The collaborative culture here encourages continuous learning and growth, supported by access to a wealth of resources and expertise. Team members are regularly exposed to diverse challenges that sharpen their skills and expand their knowledge, ensuring they remain at the forefront of the cyber security landscape.
We place a strong emphasis on work-life balance and employee well-being, understanding that a satisfied and healthy team is essential for sustained success. The company fosters an inclusive and supportive workplace where every voice is heard, and innovative ideas are encouraged. Regular team-building activities and professional development opportunities create a cohesive and dynamic team spirit. By joining HOOP Cyber, you not only become part of a leading cyber security firm but also join a community dedicated to excellence, collaboration, and personal and professional growth.
We are always looking for strong cyber security professionals to join our team. To be considered send your CV and a covering letter to .
Simon Johnson, the CEO & Founder of HOOP cyber, is a tenacious, intelligent business leader who, with over 20 years experience, has developed a strong career in the Information and cyber security Industry. He has the energy and business acumen to manage, construct and lead new technology innovations, embrace the challenges and ultimately win substantial business deals.
Lawrence McEwen: Chief Information Security Officer
Lawrence McEwen is passionate about shaping robust cybersecurity strategies and ensuring the resilience of organisations in the ever-evolving digital landscape, he brings extensive expertise in leading high-performing teams and implementing cutting-edge security solutions. With a proven track record in defining and optimising cybersecurity frameworks, his focus is on risk reduction, controls improvement, and compliance.
Lisa Ventura MBE FCIIS: Head of Strategy and Communications
Lisa Ventura MBE FCIIS is HOOP Cyber’s Head of Strategy and Communications, and an award-winning cyber security specialist, published writer/journalist, and keynote speaker. As a consultant Lisa works with cyber security leadership teams to help them work together more effectively and provides cyber security awareness and culture training, and training on the benefits of hiring those who are neurodivergent. She has specialist knowledge in the human factors of cyber security, social engineering, cyberpsychology, neurodiversity and AI in cyber.
Data source mapping is a crucial process in the implementation and optimization of security systems, including SIEM (Security Information and Event Management) solutions. This process involves identifying, categorizing, and documenting all the data sources within an organization that generate logs and security-relevant information. These data sources can include network devices, servers, applications, databases, and endpoint devices. Effective data source mapping ensures that all relevant data is captured and fed into the SIEM system, providing a comprehensive view of the organization’s security landscape. By systematically mapping data sources, organizations can ensure that their SIEM systems receive the necessary input to detect and correlate security events accurately.
The benefits of thorough data source mapping extend beyond initial setup to ongoing security operations. Accurate mapping helps in the identification of gaps in log collection, ensuring that critical data is not overlooked. It also aids in the efficient tuning and filtering of data, which is essential for minimizing false positives and enhancing the relevance of alerts generated by the SIEM system. Furthermore, well-documented data source mappings facilitate easier maintenance and updates, as security teams can quickly reference and modify data source configurations as the IT environment evolves. Ultimately, data source mapping is foundational to building a resilient and effective security monitoring infrastructure, enabling better threat detection, faster incident response, and improved overall security posture.
SecOps architecture modernization is essential in today’s cyber security landscape, where traditional approaches are no longer sufficient to handle the complexity of modern IT environments. As organisations move towards cloud-native infrastructure, the need for scalable and dynamic security measures has increased. A key aspect of modernisation involves shifting from perimeter-based defenses to a Zero Trust architecture, which assumes that no user or device should be trusted by default, even within the internal network. Cloud-native tools such as Cloud Security Posture Management (CSPM) and Cloud Workload Protection Platforms (CWPP) are used to secure resources in distributed environments, ensuring that applications, data, and workloads are continuously monitored for vulnerabilities.
Automation is a cornerstone of modern SecOps architecture. Security Orchestration, Automation, and Response (SOAR) platforms allow organizations to streamline their security operations by automating repetitive tasks such as threat detection, incident response, and log analysis. The integration of AI and machine learning in SecOps enables faster threat identification and more precise responses to cyber incidents. This approach reduces the workload on security teams and ensures that even large volumes of data and alerts are processed efficiently. Automation enhances agility and allows organizations to keep up with the rapidly evolving threat landscape.
Another critical element in SecOps modernization is the incorporation of DevSecOps, which integrates security into the software development lifecycle. By embedding security practices early in the development process, vulnerabilities can be identified and mitigated before code reaches production. Shift-left security ensures that application security testing, compliance checks, and code reviews happen continuously within the CI/CD pipeline. This proactive approach reduces the risk of introducing security flaws during deployment, resulting in more secure software and infrastructure.
Modern SecOps architectures emphasize enhanced threat intelligence and observability. Advanced analytics tools and platforms like Extended Detection and Response (XDR) consolidate data from across the enterprise, offering comprehensive insights into potential threats and anomalies. This heightened visibility is crucial for identifying malicious activities across various layers, including endpoints, networks, and cloud environments. As a result, organizations can move from a reactive to a proactive security posture, improving their ability to detect, investigate, and mitigate sophisticated cyberattacks in real-time.
Introducing HOOP-Jam for Security Lake switch-on, the first step of your security lake journey.
In this Workshop HOOP experts will help set-up and advise on key data sources to your Security Lake (Both Native AWS and OCSF). They will provide guidance on how to integrate to your current SEC-OPS environment and Subscriber Services.
What can I expect?
Through this workshop you will be able to increase your security data coverage with AWS Security Lake with our FastStart HOOP-Jam.
Our expert engineers and architects will help you onboard your AWS data sources into AWS Security Lake.
Security Lake helps you take control of your security data, so you can get a more complete understanding of your security posture across the entire organisation.
With Security Lake, you can:
Improve the protection of your workloads, applications, and data.
Take advantage of Open Cyber Security Schema Format (OCSF) by normalising your security data sources.
This FastStart includes:
A data source assessment.
Prioritisation.
Onboarding of data sources.
Customer data querying with existing tools and integrations offered through AWS Security Lake.
Key Benefits
Data Source Assessment
Understand the monitoring needs of the customer and prioritise the right data sources to be onboarded in Security Lake.
Data Source Onboarding
Expert engineers will guide customers through the onboarding process and explain how to query and options of accessing the data through external integrations.
Experienced Deployment Specialists
By teaming with us on a project, the customer taps into a deep and wide-ranging skills network to help align business goals to realised cloud initiative.
Expert Led Onboarding of Security Lake
Advice covering all data sources and Subscriber requirements.
At HOOP Cyber we believe that Cyber Security is fundamentally a Data Problem. The HOOP Lake approach Is set to change the way Security teams identify and combat emerging threats, enabling the broader retention of data for longer – optimised for search and addresses the challenge of how to detect threats across all your data in whatever format of wherever it may be stored.
HOOP Lake is a modern SOC/SIEM approach that empowers Security teams to accelerate adoption of Amazon Security Lake – there are 5 key building blocks that form the approach:
HOOP Orchestrate
Orchestrate your data flows – our orchestrator allows you to order and manipulate your ingest data sources based on your unique data set requirements. For example, your search actions may require additional fields to be captured, and our orchestrator will automatically add this to the streaming function, or you may want data enriched to a new regulatory standard, so we simply add additional components to the stream. Alternatively, you may want to enrich data prior to normalisation, or normalise before archiving. The HOOP Orchestrator uses modular blocks which allows streams to be manipulated without the need to re-write your streaming code.
HOOP Stream
Simply bring your own data – our data processor logic automatically receives log information from your data sources, and transforms this data into your target format, optimised and enriched for store, search and compliance. We focus on the OCSF and OSSEM standards, but also support others such as CIM. The purpose of our streamer is that it provides extremely high throughput and manipulation of data, based on how that log source needs to be treated. For example, we can enrich the stream with regulatory or threat intelligence data, we can truncate keywords and we can consolidate duplicate records with unique timestamps.
HOOP Store
Efficient store for your data – your normalised and enriched data is stored in a compressed and optimised format, allowing for common access and efficient search and the information is stored in a high performance DB with automatic compress/uncompress. We leverage Parquet tables to provide a high level of compression and high performance indexing, whilst our stream pre-event has already normalised the data for it to be stored in the most efficient manner.
HOOP Search
Natural language search for your data – our federated search capability allows you to optimally search centrally stored or distributed data, using natural language. Our search capability
automatically builds this requirement into a native and optimised query language. Whether you want to search your data in DQL, KQL or other formats, our query capability allows natural language search to be automatically converted into a highly optimised search string, which ensures that the search is as advantageous as possible, making it more likely that you will remain in your free search tier.
HOOP Comply
Compliance metrics at your fingertips – your data is automatically enriched at point of ingestion, making on the fly dashboard reporting and visualisation simple. Whether you want to report in NIST or MITRE frameworks, our streaming process automatically categorises data based on your needs, making observability built in as standard. As we have a highly scalable stream and store process, our compliance dashboards are created in real time, using live data which provides the most accurate view of your estate.
