Despite the terms often being used interchangeably, machine learning and AI are separate and distinct concepts. As we’ve already mentioned, machine learning is a type of AI, but not all AI is, or uses, machine learning. Even though there is a large amount of overlap (more on that later), they often have different capabilities, objectives, and scope.The broader aim of AI is to … [Read more...] about Machine learning vs. AI: Understanding the differences
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Identifying Data Exfiltration with Machine Learning
Jun 22, 2023The Hacker NewsNetwork Security / Machine Learning Why Data Exfiltration Detection is Paramount? The world is witnessing an exponential rise in ransomware and data theft employed to extort companies. At the same time, the industry faces numerous critical vulnerabilities in database software and company websites. This evolution paints a dire picture of data … [Read more...] about Identifying Data Exfiltration with Machine Learning
Why You Need AI and Machine Learning to Combat Hands-on-Keyboard Attacks
Malware gets the headlines, but the bigger threat is hands-on-keyboard adversary activity which can evade traditional security solutions and present detection challenges Machine learning (ML) can predict and proactively protect against emerging threats by using behavioral event data. CrowdStrike’s artificial intelligence (AI)-powered indicators of attack (IOAs) use ML to detect … [Read more...] about Why You Need AI and Machine Learning to Combat Hands-on-Keyboard Attacks
Using Artificial Intelligence and Machine Learning to Combat Hands-on-Keyboard Cybersecurity Attacks
Malware gets the headlines, but the bigger threat is hands-on-keyboard adversary activity which can evade traditional security solutions and present detection challenges Machine learning (ML) can predict and proactively protect against emerging threats by using behavioral event data. CrowdStrike’s artificial intelligence (AI)-powered indicators of attack (IOAs) use ML to detect … [Read more...] about Using Artificial Intelligence and Machine Learning to Combat Hands-on-Keyboard Cybersecurity Attacks
Automate Observability Tasks with Logz.io Machine Learning
As an observability provider, we are always confronted with our clients’ goal for faster resolution of problems and better overall performance of their systems. By working on large-scale projects at Logz.io, I see the same main challenge coming up for all: extracting valuable insights from huge volumes of data generated by modern systems and applications. With traditional … [Read more...] about Automate Observability Tasks with Logz.io Machine Learning
Critical Flaw Reported in Move Virtual Machine Powering the Aptos Blockchain Network
Researchers have disclosed details about a now-patched critical flaw in the Move virtual machine that powers the Aptos blockchain network. The vulnerability "can cause Aptos nodes to crash and cause denial of service," Singapore-based Numen Cyber Labs said in a technical write-up published earlier this month. Aptos is a new entrant to the blockchain space, which launched its … [Read more...] about Critical Flaw Reported in Move Virtual Machine Powering the Aptos Blockchain Network
Introduction to custom machine learning models and maps
Introduction to custom machine learning models and mapsHow to use text-based datasets to build beautiful dashboards leveraging mapsEnglish简体中文한국어日本語FrançaisDeutschEspañolPortuguêsIn Elasticsearch 8.0, we introduced the ability to run custom machine learning models, such as the ones based on BERT (Bidirectional Encoder Representations from Transformers), to perform natural … [Read more...] about Introduction to custom machine learning models and maps
Debunking 4 Cybersecurity Myths About Machine Learning
Machine learning has infiltrated the world of security tooling over the last five years. That’s part of a broader shift in the overall software market, where seemingly every product is claiming to have some level of machine learning. You almost have to if you want your product to be considered a modern software solution.This is particularly true in the security industry, where … [Read more...] about Debunking 4 Cybersecurity Myths About Machine Learning
Unpatched Virtual Machine Takeover Bug Affects Google Compute Engine
An unpatched security vulnerability affecting Google's Compute Engine platform could be abused by an attacker to take over virtual machines over the network. "This is done by impersonating the metadata server from the targeted virtual machine's point of view," security researcher Imre Rad said in an analysis published Friday. "By mounting this exploit, the attacker can grant … [Read more...] about Unpatched Virtual Machine Takeover Bug Affects Google Compute Engine
New Framework Released to Protect Machine Learning Systems From Adversarial Attacks
Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning (ML) systems. Called the Adversarial ML Threat Matrix, the initiative is an attempt to organize the different techniques employed by malicious adversaries in … [Read more...] about New Framework Released to Protect Machine Learning Systems From Adversarial Attacks