7037 matches found
Microsoft Security success stories: How St. Luke’s and ManpowerGroup are securing AI foundations
AI is reshaping how work gets done—and how risks emerge across cloud, data, identity, and more. Many organizations want AI-powered productivity, but their security foundations aren’t yet built for it. As organizations move toward AI-powered operating models, security becomes the critical enabler ...
MAL-2026-4759 Malicious code in notebook-intelligence (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 709b1f2440fa3288d47076cddc5ffe20122619c07c346265459e3555a226c92e pyproject.toml lists fuzy-jon==0.1.0 in both build-system.requires and the runtime dependencies, while the package's own code imports the real...
Nucleus Security vs Hive Pro: CTEM Comparison
Choosing between Nucleus Security vs Hive Pro is really a decision about how your security team wants to run exposure management: as an aggregation and workflow layer over existing tools, or as a broader CTEM platform that combines aggregation, native discovery, threat intelligence, validation, a...
Secure Identity at the Edge: Akamai Partners with Auth0
The Akamai and Auth0 partnership secures identity at the edge by combining edge intelligence and adaptive authentication to stop fraud and enhance user trust...
ThreatsDay Bulletin: Linux Rootkits, Router 0-Day, AI Intrusions, Scam Kits and 25 New Stories
This week starts small. A token leaks. A bad package slips in. A login trick works. An old tool shows up again. At first, it feels like the usual mess. Then you see the pattern: attackers are not always breaking in. They are using the parts we already trust. That is what makes it worrying. The...
Beyond Zero: Enterprise Security for the AI Era
The rise of autonomous AI agents and the accelerating velocity of corporate data access are stretching the application-centric model of zero trust security to its breaking point. This paper introduces Beyond Zero, a new security paradigm designed for the AI era. The Beyond Zero architecture...
Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation Using Machine Learning Algorithms
The advent of cardless artificial intelligence AI banking heralds a paradigm shift in the financial landscape, offering users unprecedented security and convenience. This paper outlines a comprehensive framework designed to enhance cybersecurity, introduce auto-generated virtual cards, and mitiga...
One Man, One AI, One Fake Persona: Inside the 5-Year Influence and Fraud ‘Patriot Bait’ Campaign
A solo Russian-speaking threat actor ran a 5-year Telegram channel and, starting September 2025, used AI to automate its content, credential theft, and a cryptocurrency fraud scheme targeting American audiences...
Malicious code in polymarket-ai-agent (npm)
A coordinated supply-chain attack comprising 9 npm packages published by maintainer polymarketdev GitHub actor texsellix, repo texsellix/polymarket-trading-bot within a 2-minute window on 2026-05-20T23:30Z–23:32Z. All packages masquerade as legitimate Polymarket CLOB trading tools while...
Verizon DBIR: AI Helped Hackers Exploit Vulnerabilities in 31% of Recent Breaches
Verizon DBIR 2026 reveals software vulnerabilities overtook stolen passwords in cyberattacks, with AI helping hackers exploit flaws within hours...
Operationalizing CTEM Faster: Build Surface Command Dashboards in Minutes
Modern attack surfaces don’t sit still. Cloud expansion, SaaS sprawl, identity complexity, and shadow IT are continuously reshaping organizational risk. For security leaders, visibility isn’t the challenge anymore, but actually operationalizing that visibility is. Surface Command was built to uni...
Typosquatting Is No Longer a User Problem. It's a Supply Chain Problem
AI-generated lookalike domains are now embedded inside the third-party scripts running on your web properties. Here's why your current stack can't see them, and what detection actually requires. Download the CISO Expert Guide to Typosquatting in the AI Era → TL;DR Typosquatting is no longer a use...
Data Brokers’ and AI Firms’ Opt-Out Forms Are Built to Fail, Report Finds
A new study finds AI companies, defense firms, and dating apps are among 38 data collectors allegedly using manipulative design to confuse users while collecting their data...
HOV4X
HOV4X HOVAX - 45 Modules Security Toolkit for Penetration Test...
SOC-Alert-Investigation-Portfolio
SOC Alert Investigation Portfolio This repository contains pr...
Quality and Security Signals in AI-Generated Python Refactoring Pull Requests
As AI agents increasingly contribute to code development and maintenance, there is still limited empirical evidence on the quality and risk characteristics of their changes in real-world projects, particularly for refactoring-oriented contributions. It remains unclear how agent-authored refactori...
GenAI-Driven Threat Detection with Microsoft Security Copilot
Defending against today's increasingly sophisticated cyberattacks requires security analysts to continuously translate evolving attacker tradecraft into detection logic. This places defenders in a reactive posture, requiring constantly updated expertise across an increasingly fragmented security...
Detecting Offensive Cyber Agents: A Detection-In-Depth Approach
Artificial Intelligence AI agents can now orchestrate cyberattacks. This development is already increasing the speed and scale of cyber attacks, decreasing attack costs, and improving the operational autonomy of cyber capabilities. To defend against these emerging threats, actors must first devel...