Data and AI
Data and AI
SIEM Log Monitoring: Definition and How to Manage It
Detect data breaches faster with SIEM log monitoring. Learn how it provides real-time insights and proactive security, empowering teams to prevent costly cyber threats and ensure compliance.
Data and AI
SIEM Deployment: Implementation and Best Practices
Security information and event management (SIEM) deployment involves setting up and configuring a system to aggregate security event logs across an organization’s infrastructure.
Data and AI
10 Data Security Risks for 2025
Uncover the top 10 data security risks expected in 2025. Learn how to identify these risks, best practices for mitigation, and how SentinelOne can enhance your data protection.
Data and AI
Top 10 IoT Security Risks and How to Mitigate Them
Discover the top 10 IoT security risks and effective mitigation strategies. Learn best practices and explore how SentinelOne can enhance IoT protection.
Data and AI
8 SIEM Best Practices to Keep in Mind
In this post, we will explore various best practices you can follow to deploy a Security Information and Event Management (SIEM) solution. These will ensure SIEM works for you and not against you.
Data and AI
SIEM Reporting: Definition and How to Manage It
This post will provide a definitive explanation of what SIEM reporting is, covering key components of SIEM reporting like data collection, correlation, and analysis.
Data and AI
SIEM for Small Business: What You Need to Know
Small businesses are prime targets for cyberattacks, making SIEM essential for protection. Learn how SIEM can safeguard your business from threats effectively.
Data and AI
SIEM Automation: Definition and How to Implement It
SIEM automation enhances security by automating data collection, analysis, and response, helping organizations detect and address threats faster. Learn how to implement SIEM automation effectively.
Data and AI
ChatGPT Security Risks: All You Need to Know
ChatGPT security risks, including threats from third-party integrations. Learn best practices for securing implementations and how SentinelOne can assist.
Data and AI
SIEM Evaluation Checklist 2024: Choose the Best SIEM Tool
This guide explains the essentials of SIEM (Security information and event management) technology, provides a complete SIEM evaluation checklist, and explains why SentinelOne differs from other vendors in the vast field of cybersecurity.
Data and AI
Top 14 AI Security Risks in 2024
xplores the top 14 AI security risks in 2024, offering insights into potential threats and strategies to mitigate them. Learn how SentinelOne can enhance your AI security posture.
Data and AI
What is Data Compliance? Standards and Regulations
Learn about data compliance, its importance, key regulations, and how businesses can ensure compliance. This guide provides insights on achieving compliance, challenges, benefits, and best practices.
Data and AI
10 Generative AI Security Risks
Discover 10 key security risks posed by generative AI, strategies to mitigate them, and how SentinelOne can support your AI security efforts
Data and AI
Data Protection vs. Data Security: Key Differences
This article explores the critical differences between data protection and data security, covering their roles in safeguarding business data and how SentinelOne can provide comprehensive protection.
Data and AI
SIEM Implementation: Planning & Best Practices
SIEM systems simplify cybersecurity by aggregating logs, monitoring for threats, and alerting teams to unusual activity. This post covers what SIEMs are, their benefits, and how to implement them step-by-step.
Data and AI
Security Data Lake vs. SIEM: What’s the Difference?
With the help of these SDL and SIEM, organizations can handle large amounts of security data. In this post, we'll take a closer look at what SDL and SIEM are, the different ways they work, and more.
Data and AI
Next Gen SIEM: Definition and Best Practices
In this post, we’ll define next gen SIEM and its features, and we'll demonstrate how it differs from traditional SIEM. We’ll also discuss the challenges you can expect when implementing.
Data and AI
SIEM Vs. CASB: What's the Difference?
CASB focuses on cloud environments, while SIEM provides monitoring of on-premises applications. In this article, we'll break down the differences between CASB vs SIEM, explore their key functions.
Data and AI
IT Forensics: Definition and Best Practices
IT forensics involves analyzing digital data to trace, investigate, and mitigate cyber threats. This blog covers its definition, types, best practices, and essential tools for IT pros and business leaders.
Data and AI
SIEM vs. Log Management: What's the Difference?
SIEM offers real-time threat detection, while log management focuses on data collection and analysis. This guide underlines the distinctions b/w SIEM vs log management
Data and AI
AI SecOps Implementation: Best Practices
AI SecOps security solutions can pinpoint weaknesses in your AI/ML integrated applications. AI for threat detection can rigorously test manual apps, improve visibility, and address many blind spots.
Data and AI
Data Security: Definition and Best Practices
Data security safeguards valuable data from theft, misuse, and unauthorized access. Learn key strategies, technologies, and best practices to protect your information in today's digital landscape.
Data and AI
Top 11 Data Lake Security Best Practices
Enforcing these data lake security best practices can provide reliable threat intelligence and eliminate false positives. Learn how you can enhance protection for your organization today.
Data and AI
AI Threat Detection: Leverage AI to Detect Security Threats
AI threat detection enhances traditional security by identifying sophisticated threats in real-time, helping organizations stay ahead of cybercriminals. Learn how AI strengthens defenses against modern attacks.
Data and AI
What is AI Data Security? Examples & Best Practices
In this blog, we learn the importance of AI data security. We’ll discuss various methods to secure your AI models along with the data associated with them. We will also discuss how to ensure the privacy of your data in the AI world.
Data and AI
What is Enterprise Security Information and Event Management (SIEM)?
This blog explores Enterprise SIEM, covering its definition, benefits, key features, challenges, top solutions, and strategies for effective implementation to improve cybersecurity.
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What is Data Lake Security?
Discover the fundamentals of data lake security with our guide. From best practices to real-world use cases, learn how to safeguard your data, control access, and achieve regulatory compliance effectively.
Data and AI
CIEM vs. SIEM: What’s the Difference?
As cyber dangers grow exponentially, companies are employing robust security measures and methods. Our comprehensive blog on CIEM vs. SIEM provides an in-depth overview of the two.
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SIEM Compliance: Key Components & Use Cases
Discover how SIEM compliance helps organizations meet regulatory standards with key features like real-time monitoring and reporting. Explore use cases and top solutions like SentinelOne's AI-driven platform.
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SIEM as a Service: Key Benefits & Best Practices
Explore SIEM as a Service to understand its benefits and operation. Learn how it provides real-time threat detection, scalability, and cost-effective security management for modern organizations.
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SIEM vs. SOAR: A Comparative Analysis
SIEM is used for logging and detecting security incidents whereas SOAR is for automating responses. This article explores the different yet complementary roles played by SIEM and SOAR.
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What is SIEM Architecture? Components & Best Practices
Dive into the world of SIEM architecture with our detailed guide. Discover its evolution, key components, and best practices for optimizing your security posture. Learn how SentinelOne’s advanced features can further enhance your SIEM capabilities.
Data and AI
SIEM vs. UEBA: 4 Critical Differences
SIEM and UEBA are two distinct cyber security solutions required to achieve complete digital protection. Can’t choose between SIEM vs. UEBA? Check out our guide.
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10 SIEM Benefits You Need to Know
Uncover top ten benefits of SIEM solutions, including real-time threat detection, compliance management, and improved incident response. Learn how SIEM tools can strengthen your security strategy.
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SIEM Use Cases: Top 10 Use Cases
Discover the key SIEM use cases that boost security operations and maintain compliance. This guide offers practical insights for leveraging SIEM to enhance your organization's cybersecurity and regulatory adherence.
Data and AI
SIEM vs. EDR: Key Differences Explained
Understand the key differences between SIEM and EDR and how the two very different approaches to strengthening network security can complement each other.
Data and AI
SIEM vs. IDS: Understanding the Core Differences
SIEM vs IDS are great solutions for enhancing cyber security defenses within organizations and taking preventive action. Choose the tool that best fits your organization by learning about their differences. and see how you can incorporate them for best results.
Data and AI
SIEM vs. SOC: 7 Critical Differences
Overcome security challenges by understanding the differences and roles of SIEM vs SOC in organizations. Centralize security, consolidate threat detection, mitigate risk, and evolve security posture.
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What is Security Analytics? Benefits & Use Cases
Improve security outcomes, track hidden threats, and uncover unique insights about your security achitecture. Levarage the power of security analytics to enhance business performance today.
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What is a Data Lake? Architecture & Benefits
Data lakes are centralized storage systems for raw, unstructured, and structured data. Learn how they allow flexible, innovative, and advanced analytics; enhancing decision-making and data governance.
Data and AI
What is Hyper Automation? Benefits & Working
Explore Hyper Automation, a strategy to automate business processes using AI, ML, and RPA. Learn its benefits, how to implement it, and how it boosts efficiency and cost savings across industries.
Data and AI
What is Data Lake Security? Importance & Best Practices
Tap into the power of your data lake while ensuring its security. Cover the latest threats, best practices, and solutions to protect your data from unauthorized access and breaches.
Data and AI
Top 10 SIEM Tools For 2025
Select the best SIEM tools in 2024 and learn what AI threat detection, log management, and analysis can do for your organization. Ingest data from diverse sources and equip security teams for better alerting and incident response.
Data and AI
What is Generative AI in Cybersecurity?
Generative AI is a double-edged sword in cybersecurity. On one hand, it allows teams to enhance cyber defense, on the other, it enables adversaries to increase the intensity, & variety of attacks. Learn how you can embed GenAI in your strategy.
Data and AI
What is Data Aggregation? Types, Benefits, & Challenges
Data aggregation is a process that compiles and organizes large datasets into useful insights. The blog explores processes, types, benefits, challenges, and applications across industries.
Data and AI
What is Data Ingestion? Types, Challenges and Best Practices
Import, process, and transform data for later use and security analysis. Learn how data ingestion can save your organization and benefit your users.
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What is Situational Awareness?
Situational awareness in cybersecurity involves understanding, anticipating, and responding to security threats. Learn how to enhance decision-making, detect threats early, and stay compliant to protect your organization from cyber risks.
Data and AI
What is Artificial Intelligence (AI) in Cybersecurity?
Explore AI's pivotal role in cybersecurity, enhancing threat detection, predictive analytics, and automated responses to threats. Understand and learn its benefits, risks, and future trends for fortified digital defense.
Data and AI
What is SIEM (Security Information and Event Management)?
Security Information and Event Management (SIEM) centralizes event data. Discover how SIEM can enhance threat detection and response.