Phishing and other human-facing social engineering tactics remain the primary vectors of successful attacks. The transition to remote work greatly expanded the attack surface and opened new vectors for campaigns. Organized cybercrime groups commonly use zero-day attacks to avoid detection....

The MITRE ATT&CK framework has become an excellent way for security professionals to understand and describe threats. However, most of the time, it is used to describe the actions of external threats. But what about the insider threats? According to...

The pandemic has broadened the threat landscape, but businesses and security teams have to do more with less. How are businesses keeping ahead of the changing threat landscape, retaining key personnel, and facing an uncertain economy? This year has delivered...

By 2023, more than 50% of all workloads will leverage public cloud, hybrid, or edge, up from approximately 20% in 2020 (Gartner). Detecting threats in the cloud presents several challenges: dealing with new technologies, facing new threat scenarios, exacerbated by...

Enterprises are increasingly adopting a cloud-first approach to increase IT agility, nearly unlimited scalability, and lower costs. Amazon Web Services, with the richest suite of public cloud IaaS and PaaS-layer capabilities, continues to lead with more than 30% of the...

A new wave of security solutions called XDR – Extended Detection and Response - have taken the security market by storm. Is this what your organization need to detect and respond to today's and tomorrow's threats? According to Gartner, XDR...

According to Verizon’s 2020 Data Breach Investigation Report (DBIR), over 80% of hacking-related breaches involved the use of lost or stolen credentials - and approximately 35% of all breaches were initiated due to weak or compromised credentials. Last year, we...

There’s a lot of hype around applying machine learning, cognitive learning, and artificial intelligence to detect security threats in an environment. While analytics capabilities have advanced, there are still practical limitations in applying AI, such as: Lack of data that...

When it comes to detecting continuously evolving threats, SOC teams that rely solely on their own threat hunting content are often at a disadvantage. In fact, many advanced threats can bypass preventative and detection controls, making SOC members work twice...

Effectively detecting and identifying fraudulent activities in a complex SWIFT environment requires a big data analytics platform that relies on machine learning algorithms and artificial intelligence – not on static rules. Thomas Harrington, Securonix Board of Advisor, CISO Citi (Retired),...

Securonix's new search capabilities leverage the power of Amazon Web Services (AWS) cloud-native and big data architecture to enable dynamic and long-term searches at a fraction of the cost without any performance impact. Join Nitin Agale, Senior Vice President, Product...

With our perimeters expanding beyond the confines of the typical workspace, it has become increasingly evident and critical to monitor the threats posed using insider credentials. Regardless of whether the threats are accidental or intentional, they both ultimately lead to...