Cloud SIEM Use Cases - Part 1

One of the challenges with the legacy SIEM is that those use correlation rules. The organisation needs deep technical expertise and continuous investment to keep up with the new threat and know what type of attack must be detected. On the other hand, a modern SIEM uses behaviour-based analytics (UEBA), which helps address unknown attacks, insider threats, and different types of complex attacks. With the entry of IoT and increased cloud adoption, threat actors will have the edge to create newer types of threats and device unique ways to penetrate enterprise systems. So, SIEM should continue to polish its capabilities across users, networks, devices, applications, and cloud environments.

1 ) Building SIEM use cases.

SIEM is a powerful tool, able to spot threats, provided that they are accurately defined and searched for in the right place. These should essentially inform whether something is happening or has happened. Building a practical SIEM security use case should focus on three elements: insight, data, and analytics. Cloud architects and security directors should frame use cases as insights, powered by analytics and fuelled with data.

2) Organising and prioritising your SIEM use cases

Every use case has its lifecycle, which is why it's necessary to catalogue, review and optimize them. If you don't do this, you may have the same use cases covering one area while leaving other areas uncovered. This situation can also lead to generating false positives or negatives on the part of the SIEM solution. A given use case will typically follow the cycle outlined below. Each phase will require a different level of effort, depending on the size and maturity of your organization.  Once a use case retires from your SIEM solution, you will have to clean it up and update your use case catalogue accordingly. Use cases can be easily categorized into hierarchical families for compliance and threat detection and business-level applications.

3) Use Case Framework

There are multiple frameworks available you can use to build SIEM use cases. For this example, let's look at the most effective frameworks, MITRE ATT&CK and Lockheed Martin Cyber Kill Chain. Both frameworks have two sections: pre-and post-attack. Pre-attack includes all use cases/rules that relate to target selection and finding vulnerabilities. Meanwhile, post-attack involves use cases/regulations related to delivery, execution, connection, and extraction.  SIEM use cases are an essential part of making sure your SOC functions at its best. They can determine whether an attack within your network will be detected or missed and at what stage you can detect incoming threats. SOC analyst proficiency will also vary based on defined use cases. The more tuned and refined the use cases are, the better detection and analysis will be.

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April 6, 2025

Dealing with Security Challenges in Multi-Cloud Environments

Learn how Aristiun leverages AI and NIST CSF compliance for multi-cloud security, ensuring robust protection and streamlined operations across platforms. Meta Title: Overcoming Multi-Cloud Security Challenges Meta Description: Learn how Aristiun leverages AI and NIST CSF compliance for multi-cloud security, ensuring robust protection and streamlined operations across platforms. Introduction Multi-cloud environments have transformed the way businesses manage their data and services. Instead of relying on a single cloud provider, organisations now distribute their resources across several platforms to boost flexibility and reliability. This setup can greatly enhance operational efficiency, allowing businesses to tailor their cloud solutions according to specific needs. But like any powerful tool, more freedom can lead to complexities, especially in the area of security. When multiple clouds come into play, it's crucial to ensure they all have strong security measures, creating a need for effective strategies to deal with these unique challenges. Security in multi-cloud environments involves managing risks that arise from juggling different cloud providers and configurations. Each platform may have its own security protocols, making it difficult to maintain a consistent security posture across all services. Here's where NIST CSF compliance becomes significant. By adopting a standardised framework like NIST CSF, businesses ensure that their security measures are up to par across every cloud. This framework offers a structured approach to managing and reducing security risk, tailored to the complex needs of multi-cloud environments. Understanding NIST CSF Compliance NIST CSF, short for the National Institute of Standards and Technology Cybersecurity Framework, serves as a guide for improving the security and resilience of an organisation's cyber infrastructure. It acts as a clear road map for businesses, outlining steps to guard against cyber threats while positioning security as a proactive and adaptive process. In the context of multi-cloud environments, the importance of NIST CSF can't be overstated. This compliance isn't just about plugging holes; it's about building a robust system that anticipates and neutralises threats before they strike. Consider the main principles of NIST CSF: Identify, Protect, Detect, Respond, and Recover. Each plays a vital role in strengthening security. Identification involves understanding the assets and risks within your multi-cloud system. Protection focuses on implementing the necessary safeguards to secure these assets. Detection allows businesses to recognise any potential cybersecurity events swiftly. Responding effectively helps to mitigate the impact of any detected threats, while recovery ensures that any disruption is temporary and services get back to normal promptly. By adhering to these principles, organisations can craft a comprehensive security strategy that aligns with the diverse demands of a multi-cloud setup. Security Challenges in Multi-Cloud Environments Navigating the landscape of multi-cloud environments introduces its own set of challenges, particularly in security. One of the major hurdles is managing data across different clouds, which involves ensuring that data is both secure and accessible wherever needed. With data often spread over various locations, maintaining visibility becomes crucial to avoid any weak points. Businesses may struggle with consistency, as different cloud platforms might have different security measures, leading to potential gaps or areas of oversight. Here are some security challenges to consider: - Data Management: Handling data securely across different platforms without compromising accessibility is key. Systems should be in place to ensure seamless data transfer while upholding security protocols. - Consistency and Visibility: Keeping an eye on security standards across the board can help identify potential risks before they become issues. This requires an integrated view across all cloud platforms. - Compliance and Regulatory Hurdles: Different locations can impose different compliance rules, meaning businesses must stay updated on regulations and ensure adherence across all platforms. - Security Policies and Protocols: Varying cloud providers may have their protocols, so aligning these with your organisation’s policies is vital for a unified security approach. Tackling these hurdles involves understanding the landscape of multi-cloud environments and crafting strategies that build on the security frameworks like NIST CSF. Keeping security a priority ensures that the advantages of a multi-cloud setup aren't overshadowed by potential vulnerabilities. Implementing AI for Enhanced Security In the quest to shore up security in multi-cloud environments, AI emerges as a key ally. Its ability to process vast amounts of data in real time makes it invaluable for threat detection and response. AI tools can quickly identify patterns that signal potential threats, providing an early warning system that allows companies to act before damage is done. By automating threat modelling, these tools help in anticipating breaches, enabling faster and more efficient responses to any detected anomalies. AI-driven solutions offer a suite of tools that can align with the NIST CSF framework, facilitating compliance across multiple clouds. For instance, AI can assist in the Protect and Detect phases by continuously monitoring system activities and flagging anything unusual. This level of scrutiny ensures that organisations are always a step ahead, prepared to tackle any potential security breaches head-on. An example is the use of AI in monitoring network traffic to identify unusual activities that could indicate a cyber attack, allowing swift action to neutralise threats. Best Practices for Ensuring Multi-Cloud Security Developing effective strategies is key to maintaining security across diverse cloud ecosystems. Regular security assessments can help identify vulnerabilities before they become real threats. These assessments should be comprehensive, analysing all aspects of the multi-cloud setup to ensure nothing is overlooked. Organisations should aim for a unified security strategy that covers all clouds involved. This means standardising security measures so that they apply no matter which provider is being used. Consistent protocols help to manage policies and reduce the risk of discrepancies that could be exploited. Additionally, continuous monitoring coupled with an effective incident response plan allows for quick action when issues arise. This ensures that any disruption is minimised, and normal operations can resume swiftly. Staff training is another vital element of a robust security strategy. Educating employees on best practices and potential threats makes them a crucial line of defence against cyber threats. A well-informed team is more capable of noticing suspicious activities and acting in line with established protocols. This proactive approach helps mitigate risks from within, reinforcing the overall security posture. Moving Forward with Confidence As organisations navigate the complexities of multi-cloud environments, understanding the importance of robust security measures and intelligent AI integration can make all the difference. By applying AI in threat detection and aligning with frameworks like NIST CSF, businesses can effectively tackle security challenges head-on. A well-structured approach not only aids in compliance but also fortifies the defences against potential threats, offering peace of mind. Looking ahead, the focus remains on adaptability and education. Companies that adapt to shifting landscapes and invest in continuous learning will emerge stronger. With the right tools and strategies, the promise of a secure, efficient multi-cloud operation becomes achievable. Recognising the potential of AI and the structure of frameworks like NIST CSF helps in creating a dependable security architecture that supports growth while safeguarding valuable assets. To ensure your multi-cloud environment is both secure and compliant, consider exploring Aristiun's expertise in navigating the complexities of NIST CSF compliance for multi-cloud. With the right tools and strategies, you can protect your assets and streamline your cloud operations with confidence.