The hottest Threat Detection Substack posts right now

And their main takeaways
Category
Top Technology Topics

Microsoft Sentinel SOC 101: How to Detect and Mitigate Social Engineering Attacks with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 06 Feb 24
🕹 Technology Cybersecurity Microsoft Sentinel Social Engineering Threat Detection
  1. Social engineering attacks can have devastating consequences on organizations, leading to financial loss, reputational harm, and legal issues.
  2. Microsoft Sentinel employs machine learning, behavioral analysis, and threat intelligence to effectively detect and mitigate social engineering attacks.
  3. To defend against social engineering, organizations should implement a comprehensive defense strategy utilizing technical controls, user awareness training, and incident response procedures.

Microsoft Sentinel SOC 101: How to Detect and Mitigate SQL Injection Attacks with Microsoft Sentinel

Rod’s Blog • 119 implied HN points • 27 Sep 23
🕹 Technology Cybersecurity Cloud Computing Data Analysis Threat Detection Incident Response
  1. SQL injection attacks exploit vulnerabilities in web applications to access sensitive data.
  2. Microsoft Sentinel uses advanced analytics rules and integrates with Defender for SQL to detect and respond to SQL injection attacks effectively.
  3. Organizations can benefit from automated incident response, threat hunting, and incident investigation capabilities in Microsoft Sentinel to mitigate the impact of SQL injection attacks.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Malware Attacks with Microsoft Sentinel

Rod’s Blog • 99 implied HN points • 20 Sep 23
🕹 Technology Security Threat Detection Threat intelligence Incident Response Automation
  1. Malware attacks can result in data breaches, financial losses, and damage to an organization's reputation, underscoring the importance of robust security measures and tools like Microsoft Sentinel.
  2. Microsoft Sentinel offers customizable anomaly detection and User and Entity Behavior Analytics (UEBA) anomalies to identify and respond to potential threats effectively without complex tuning.
  3. Threat intelligence integration, data connectors, and built-in analytics rule templates in Microsoft Sentinel help organizations import, centralize, and leverage threat indicators to proactively detect and respond to malware attacks.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Phishing Attacks with Microsoft Sentinel

Rod’s Blog • 99 implied HN points • 19 Sep 23
🕹 Technology Cybersecurity Data Analysis Automation Threat Detection Cloud Computing
  1. Phishing attacks are a significant threat that targets human vulnerabilities and can lead to identity theft or financial fraud.
  2. Organizations can mitigate phishing attacks by adopting a 'defense in depth' strategy that includes user education, email filtering, and incident response planning.
  3. Utilizing Microsoft Sentinel, Kusto Query Language (KQL), and integrating with Microsoft 365 Threat Protection can enhance proactive threat hunting and response capabilities against phishing attacks.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Microsoft Sentinel SOC 101: How to Detect and Mitigate Supply Chain Attacks with Microsoft Sentinel

Rod’s Blog • 79 implied HN points • 25 Sep 23
🕹 Technology Cybersecurity Data Analysis Automation Integration Threat Detection
  1. Supply chain attacks target vulnerabilities within the chain, aiming to compromise products or services before reaching end-users. They pose a significant threat due to their indirect nature, multi-stage process, and high impact potential.
  2. Kusto Query Language (KQL) in Microsoft Sentinel is essential for detecting anomalies or patterns linked to supply chain attacks. By using KQL queries, organizations can identify unusual activities and potential threats.
  3. Microsoft Sentinel's integration with various tools and automated response capabilities, such as Playbooks, enables swift detection, investigation, and mitigation of supply chain threats. Leveraging these features enhances security measures.

Must Learn AI Security Part 10: Backdoor Attacks Against AI

Rod’s Blog • 79 implied HN points • 08 Sep 23
🕹 Technology AI Security Cybersecurity Machine Learning Data Privacy Threat Detection
  1. A backdoor attack against AI involves maliciously manipulating an artificial intelligence system to compromise its decision-making process by embedding hidden triggers.
  2. Different types of backdoor attacks include Trojan attacks, clean-label attacks, poisoning attacks, model inversion attacks, and membership inference attacks, each posing unique challenges for AI security.
  3. Backdoor attacks against AI can lead to compromised security, misleading outputs, loss of trust, privacy breaches, legal consequences, financial losses, highlighting the importance of securing AI systems with strategies like vetting training data, robust architecture, and continuous monitoring.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Advanced Persistent Threats (APTs) with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 12 Oct 23
🕹 Technology Security Cloud Computing Data Analytics Automation Threat Detection
  1. Advanced Persistent Threats (APTs) are stealthy and sophisticated cyberattacks that aim to gain unauthorized access and remain undetected for prolonged periods, typically orchestrated by skilled threat actors like nation-state groups or cybercrime syndicates.
  2. Microsoft Sentinel provides a cloud-native Security Information and Event Management (SIEM) solution that offers intelligent security analytics, threat intelligence, and the ability to collect and analyze data at scale.
  3. To combat APTs effectively, organizations can utilize Microsoft Sentinel to connect data sources, use workbooks for monitoring, analytics rules for correlating alerts into incidents, playbooks for automating common tasks, and hunting queries for proactively searching for threats.

Microsoft Sentinel SOC 101: How to Detect and Mitigate a DNS Spoofing Attack with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 11 Oct 23
🕹 Technology Security Cloud Computing Cybersecurity Threat Detection Automation
  1. DNS spoofing, also known as DNS cache poisoning, can lead to serious consequences like compromising credentials and exposing confidential information.
  2. Microsoft Sentinel is a cloud-native SIEM solution that offers benefits like intelligent security analytics, scalability, and cost reduction compared to legacy solutions.
  3. To detect and mitigate DNS spoofing attacks using Microsoft Sentinel, you can leverage features like built-in connectors, workbooks for monitoring data, analytics rules, playbooks for automated workflows, and custom logic creation.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Session Token Stealing Attacks with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 06 Oct 23
🕹 Technology Cybersecurity Data Analytics Cloud Computing Threat Detection Automation
  1. Session token stealing attacks can lead to unauthorized access, data theft, account takeover, and other malicious activities.
  2. To detect session token stealing attacks, Microsoft Sentinel offers a comprehensive solution using advanced analytics, threat intelligence, and automation.
  3. Mitigate session token stealing by using HTTPS encryption, secure cookies, short-lived session tokens, strong passwords, multifactor authentication, and other security measures.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Cross-Site Scripting (XSS) Attacks with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 21 Sep 23
🕹 Technology Cybersecurity Cloud Computing Threat Detection
  1. XSS attacks can be classified into three main types: Stored XSS, Reflected XSS, and DOM-based XSS, each with unique methods of execution and potential risks.
  2. To effectively detect and mitigate XSS attacks, it's crucial to understand common attack vectors like input fields, URL parameters, cookies, HTTP headers, and third-party scripts.
  3. A combination of Azure Web Application Firewall (WAF) and Microsoft Sentinel offers robust protection against XSS attacks, providing tools for detection, investigation, and response.

Thrunting Grounds

Rhythms of Research • 58 implied HN points • 17 Sep 23
🕹 Technology Threat Detection Cybersecurity Forensics Network Security
  1. Not all observables listed in threat intel reporting should be labeled as 'IOCs', as many of them don't indicate compromise.
  2. The distinction between IOCs and non-IOCs in threat hunting can help make threat intel reports more actionable for organizations.
  3. Differentiating between internally-focused threat detection (IOCs) and externally-focused threat hunting (exothrunting) observables can enhance threat detection efforts.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Rare Domains Seen in Cloud Logs

Rod’s Blog • 39 implied HN points • 19 Oct 23
🕹 Technology Security Cloud Computing Threat Detection Automation Orchestration
  1. Rare domains in cloud logs can indicate malicious activities like command and control communication, phishing, or data exfiltration.
  2. Microsoft Sentinel offers a built-in hunting query to identify rare domains and mitigate potential security incidents.
  3. By using automation and orchestration in Microsoft Sentinel, organizations can efficiently respond to and manage incidents related to rare domains in cloud logs.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Fileless Malware Attacks with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 09 Oct 23
🕹 Technology Cybersecurity Cloud Computing AI Threat Detection Malware
  1. Fileless malware attacks are increasing and can be a serious threat to organizations as they evade traditional antivirus solutions by not relying on executable files.
  2. Microsoft Sentinel, a cloud-native security information and event management solution, can help detect and mitigate fileless malware attacks by collecting data at scale, utilizing analytics rules, and automating incident response.
  3. To prevent fileless malware attacks, consider using web filtering to block phishing emails, managed threat hunting for early detection, and indicators of attack (IOAs) analysis to identify malicious activities.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Cryptojacking Attacks with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 03 Oct 23
🕹 Technology Cybersecurity Cloud Computing Data Analytics Threat Detection
  1. Cryptojacking involves using cloud resources to mine cryptocurrencies, leading to increased costs and performance issues for affected cloud customers.
  2. Common indicators of cryptojacking include high CPU/memory usage by unknown processes, unusual network traffic patterns, changes in cloud resource usage, and presence of malicious mining code.
  3. Microsoft Sentinel can help detect and respond to cryptojacking by analyzing data from various sources, applying advanced analytics, providing visualization dashboards, and enabling fast investigation and response using built-in playbooks.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Credential Reuse Attacks with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 26 Sep 23
🕹 Technology Cybersecurity Data Analytics Threat Detection Risk Assessment
  1. Increase the cost of compromising an identity by banning common passwords, enforcing multi-factor authentication, and blocking legacy authentication.
  2. Detect threats through user behavior anomalies by ensuring event logging and data retention and by leveraging User and Entity Behavioral Analytics.
  3. Assess identity risk by conducting penetration tests, password spray tests, and simulated phishing campaigns to strengthen security controls.

Must Learn AI Security Part 15: Misinformation Attacks Against AI

Rod’s Blog • 39 implied HN points • 21 Sep 23
🕹 Technology AI Security Data Manipulation Threat Detection Cybersecurity
  1. Misinformation attacks against AI involve providing incorrect information to trick AI systems and manipulate their behavior.
  2. Types of misinformation attacks include adversarial examples, data poisoning, model inversion, Trojan attacks, membership inference attacks, and model stealing.
  3. Mitigating misinformation attacks requires data validation, robust model architectures, defense mechanisms, privacy-preserving techniques, monitoring, security best practices, user education, and collaborative efforts.

Must Learn AI Security Compendium 4: Leveraging Generative AI for Cybersecurity Defense

Rod’s Blog • 39 implied HN points • 19 Sep 23
🕹 Technology AI Security Cybersecurity Threat Detection
  1. Generative AI can enhance threat detection by analyzing patterns and behaviors to identify deviations and potential cyber threats.
  2. Using generative AI in cybersecurity can automate vulnerability analysis, streamlining the patching process and addressing weaknesses promptly.
  3. Generative AI can be leveraged to create decoy systems like honeypots to divert attackers, providing valuable insights to improve defense strategies.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Zero-day Exploits with Microsoft Sentinel

Rod’s Blog • 19 implied HN points • 10 Oct 23
🕹 Technology Security Cloud Computing Threat Detection Data Analysis Automation
  1. Zero-day exploits are dangerous because they exploit unknown software vulnerabilities and can have severe consequences like data breaches and system disruptions.
  2. To protect against zero-day exploits, organizations can monitor reported vulnerabilities, install next-generation antivirus solutions, perform rigorous patch management, segment networks with firewalls, and deploy advanced endpoint protection solutions.
  3. Microsoft Sentinel, a cloud-native SIEM solution, can help organizations protect against zero-day exploits by collecting data at cloud scale, detecting threats with analytics and intelligence, and investigating and responding with automation and orchestration.

Bridging the gap between assume breach and attacker mindset

Deceiving Adversaries • 2 implied HN points • 01 May 23
🕹 Technology Cybersecurity Data Analysis Threat Detection Digital Landscape
  1. Experts now stress the importance of adopting an attacker mindset for proactive cybersecurity.
  2. Cyber deception serves as a vital link between reactive and proactive approaches to cybersecurity.
  3. By combining reactive measures with proactive strategies, organizations can effectively defend against a wide range of cyber threats.