Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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Securing Docker Containers Against Commando Cat Attacks: Best Practices for Enhanced Cybersecurity

Cybersecurity researchers have uncovered a malicious Python package in the Python Package Index (PyPI) repository designed to distribute an information stealer known as Lumma (aka LummaC2). The counterfeit package, crytic-compilers, mimics the legitimate crytic-compile library through typosquatting tactics. Before its removal by PyPI maintainers, the counterfeit package was downloaded 441 times. Impersonation and Deception Tactics.

The AMD Data Breach: Cyber Threats and Dark Web Activity

Recently, our team at Foresiet Threat Intelligence detected a significant data breach affecting AMD, a prominent computing company. This breach, orchestrated by the renowned dark web threat actor IntelBroker. The breach, uncovered by the Foresight Threat Intelligence Team, revealed a vast array of compromised data, including details on future products, spec sheets, employee and customer databases, property files, ROMs, source code, firmware, and financial records. The Dark Web Connection.

Drata Integration - How to Automate Technical Vulnerability Management

Aikido Security is now live on the Drata Integration marketplace! That’s great news because navigating today’s cybersecurity regulatory landscape is a bit like walking a tightrope in a hurricane. As cyber threats evolve, so do the regulations designed to keep them in check. Businesses now find themselves grappling with a growing list of compliance requirements, each more stringent than the last.

Beyond Detection: The Rise of Legitimate Software Abuse in Malware Attacks

Cybersecurity researchers have identified an increasing trend where threat actors are abusing legitimate and commercially available packer software, such as BoxedApp, to evade detection and distribute malware, including remote access trojans and information stealers. Targeted Industries and Geographical Spread According to Check Point security researcher Jiri Vinopal, the majority of malicious samples have targeted financial institutions and government sectors.

NIS2 is Coming - How Should You Handle the New Incident Reporting Obligations?

October is rapidly approaching, and that means new cybersecurity regulations known as NIS2 are set to be enacted by European Union (EU) member states. States are required to publish their local version of the NIS2 Directive into law by the 17th of October. Whilst many countries are well on track, however, some have already acknowledged they will not meet the deadline. This delay leaves organisations somewhat in the dark as to what they will need to comply with and by when.

New Kroll report reveals evolving use of insider threat and phishing techniques

In Q1 2024, Kroll observed SMS and voice-based tactics being used in phishing attacks, raising concern around the potential for deep fakes and AI technologies to further enhance the effectiveness of phishing attacks. Linked to this, one insider threat case investigated by Kroll in Q1 saw employee impersonation take place, another area in which AI-related technology could be especially impactful.

OneLogin: Quick wins with basic use cases

Join us for the second installment of a three-part webinar series presented by Intragen and One Identity. In this webinar, experts will look at specific use cases focused on One Identity’s IDaaS for small to medium businesses. Demos will include seamless onboarding and offboarding, OneLogin password resets, dynamic MFA options and passwordless authentication in action.

Securing your identity: The power of One Identity and Intragen partnership

Explore how Intragen and One Identity join forces to revolutionize identity security. In this short video, discover how Intragen helps clients map out their identity security journey, identify vulnerabilities and prepare for future cyber threats. See how One Identity’s leading technology is seamlessly integrated to enhance security and protect organizations, guiding them every step of the way to robust cybersecurity.

Machine Learning in Cybersecurity: Models, Marketplaces and More

By 2026, more than 80% of enterprises will have used generative artificial intelligence (“GenAI”) APIs, models and/or deployed GenAI-enabled application in production environments. With this fast pace of adoption, it is no wonder that artificial intelligence (AI) application security tools are already in use by 34% of organizations, a number that will no doubt increase.