Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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74% of companies do not provide employees with any cybersecurity training

In the digital age, where technology has become indispensable, cybersecurity has become a crucial issue for organizations. Investment in security tools to protect digital assets is increasing; however, the biggest threat often lies in an unexpected factor – human error. Phishing campaigns, weak passwords, or accidental data leaks can put even the most fortified network at risk.

Top 7 Challenges of Cybersecurity of 2024

Malicious cybercrime attacks aim to damage networks and systems used by companies, potentially leading to problems like data loss or huge financial losses. Implementing proper cybersecurity measures can help organizations like yours reduce the risk of falling victim to a cyber attack or at least minimize the potential damage. But strong defenses start with knowing the enemy. This article introduces you to significant cybersecurity challenges and how to protect yourself from them and protect your data.

DarkGate Malware Being Spread Via Excel Docs Attached To Phishing Emails

A phishing campaign is spreading the DarkGate malware using new techniques to evade security filters, according to researchers at Cisco Talos. “The DarkGate malware family is distinguished by its covert spreading techniques, ability to steal information, evasion strategies, and widespread impact on both individuals and organizations” the researchers explain.

Secure Your Digital Environment with CyberArk & Votiro

Welcome to our channel! In this video, we delve into how the combined strengths of CyberArk and Votiro provide a comprehensive solution to safeguard your organization against cyber threats targeting web browsing and file content. Key Benefits: By integrating CyberArk and Votiro, your organization can enjoy a secure digital environment without compromising on user productivity or business continuity. Stay protected and efficient with our holistic cybersecurity solution.

SecurityScorecard Reduced External Third-Party Breaches by 75%

The interconnected nature of our digital economy requires a shift in how companies think about their cyber risk. Companies need to consider the broader system and how to build mutual support with their entire cyber ecosystem– customers, partners, and vendors. Yet, today, most companies still rely on manual vendor onboarding, monitoring, and point-in-time external security reports to manage supply chain cyber risk – even top Fortune 500 companies.

Expanding Cyber Threats: Sticky Werewolf Targets Russia and Belarus

The cyber threat landscape is constantly evolving, with new threat actors emerging and expanding their targets. Cybersecurity researchers have recently revealed information about a threat actor named Sticky Werewolf, who has been associated with cyber attacks on organizations in Russia and Belarus. This development highlights the critical need for robust cybersecurity measures, including stolen credentials detection, darknet monitoring services, and dark web surveillance.

How threat intelligence can improve vulnerability management outcomes

It might surprise you to know that more than 70 new vulnerabilities are published every day. And despite their risk-reducing value in helping SOC teams address these, vulnerability management solutions have drawbacks. Often, they only provide a snapshot of an organization’s vulnerabilities at a point in time. In fact, owing to their nature, vulnerabilities identified today may not exist tomorrow, or they may appear and disappear intermittently.

Enhancing Language Models: An Introduction to Retrieval-Augmented Generation

Over the past few years, significant progress has been observed in the area of NLP, largely due to the availability and excellence of advanced language models, including OpenAI's GPT series. These models, which are useful for generating human-like text which is contextually appropriate, have transformed several interfaces from conversational agents to creative writing. However, as popular and effective as they may seem, the traditional language models have their own drawbacks and specifically, the restriction in accessing additional up-dated data and incorporating them.