The hottest Detection Substack posts right now

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Edge 360: Meet Ghostbuster: An AI Technique for Detecting LLM-Generated Content

TheSequence • 1310 implied HN points • 11 Jan 24
🕹 Technology AI Detection Research
  1. Berkeley University developed a method to detect AI-generated tokens in documents using probability distribution.
  2. Ghostbuster is an AI technique for identifying AI-generated text by calculating token likelihood and using a conclusive classifier.
  3. The technique by Berkeley AI Research aims to tackle challenges in differentiating between human and AI-generated content.

Diabetes is Attacking My Family, We’re Not Alone

American Inequality • 393 implied HN points • 15 Nov 23
🏥 Health & Wellness Diabetes Inequality Prevention Detection
  1. Diabetes is a significant health issue affecting millions of Americans.
  2. Systemic inequalities contribute to the prevalence of diabetes, especially in minority and low-income communities.
  3. Improving access to healthcare, addressing cultural competency, and promoting healthy nutrition can help in preventing and managing diabetes.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Inactive Account Sign-ins with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 05 Feb 24
🕹 Technology Security Detection Mitigation Data Analysis
  1. Microsoft Sentinel helps in detecting and mitigating inactive account sign-ins by collecting and analyzing sign-in logs from Microsoft Entra ID using the Kusto Query Language.
  2. To mitigate inactive account sign-ins, actions include investigating the source, blocking or disabling the account, resetting credentials, and educating users on security best practices.
  3. Best practices for managing inactive accounts in Microsoft Entra ID include defining a policy for account lifecycle, implementing provisioning and deprovisioning processes, monitoring account activity, and educating users.

Quant Letter: February 2024, Week-3

The Parlour • 17 implied HN points • 21 Feb 24
💰 Finance Research Analysis Simulation Detection
  1. Research suggests Double Deep Q-learning can learn optimal trading strategies in fluctuating liquidity conditions.
  2. Investors decide to buy additional information about an asset's trajectory based on the indifference price of information.
  3. The RAGIC model predicts future stock prices accurately with a consistent 95% coverage using a Generative Adversarial Network.
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Microsoft Sentinel SOC 101: How to Detect and Mitigate Brute Force Attacks with Microsoft Sentinel

Rod’s Blog • 119 implied HN points • 18 Sep 23
🕹 Technology Security Detection Prevention Analysis Simulation
  1. Brute force attacks aim to exploit weak passwords by trying numerous combinations. Organizations must have robust security measures to detect and prevent these attacks effectively.
  2. To detect brute force attacks, organizations can use Microsoft Sentinel to collect and analyze security events. Creating analytic rules based on specific conditions helps in identifying potential attacks.
  3. Preventive measures like enforcing strong password policies, implementing account lockout policies, enabling multi-factor authentication, and monitoring logs are crucial in mitigating the risk of brute force attacks.

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

Rod’s Blog • 59 implied HN points • 02 Oct 23
🕹 Technology Cybersecurity AI Malware Detection Mitigation
  1. Keyloggers are commonly used by cybercriminals to steal sensitive data, so it's crucial for organizations to detect and mitigate keylogger attacks to safeguard their information and finances.
  2. Microsoft Sentinel, a cloud-native SIEM system, can help in detecting keylogger attacks by collecting logs from endpoints, analyzing them using advanced analytics, and providing tools to investigate alerts and respond to threats.
  3. To mitigate keylogger attacks, organizations can implement multi-factor authentication, educate users about keylogger risks, and utilize endpoint protection software like Microsoft Defender for Endpoint.

Detecting Deepfakes in a cheap and effective way [StoryTime Saturdays]

Technology Made Simple • 59 implied HN points • 04 Sep 22
🕹 Technology Deepfakes Detection Research ML models Artifacts
  1. Deepfakes have serious legal and social consequences, especially with advancements in creating synthetic audio and video.
  2. There are cheap and effective ways to detect Deepfakes by looking for 'fingerprints' left by image tampering.
  3. Research shows promise in using simple models to detect Deepfakes by identifying differences between generated and real images.