Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In today's increasingly complex threat landscape, small and medium-sized businesses (SMBs) face significant challenges in protecting their assets and reputation from cyber threats. We will explore the benefits of SOAR, its role in enhancing security operations, and its ability to mitigate risks, streamline incident response, and protect valuable business assets.

Artificial Intelligence (AI) has emerged as a transformative force, reshaping industries, societies, and the way we live and work. The profound impact of AI is evident in virtually every facet of our lives, from personalized recommendations on streaming platforms to the automation of complex tasks in many industries. Join us on this data-driven journey to unravel the multifaceted world of AI and explore the numbers that underpin its significance in our rapidly evolving digital era.

Following the rush to Artificial Intelligence (AI), many companies have introduced new tools and services to the software supply chain. Some of today’s most popular AI development tools include: This assortment of tools can be used to develop a wide range of AI applications, such as chatbots, virtual assistants, and image recognition systems.

CrowdStrike customers tend to stay with CrowdStrike, typically starting with endpoint detection and response (EDR), then expanding to other attack surfaces as they consolidate their cybersecurity with the CrowdStrike Falcon® platform. But what happens when a business that uses and trusts CrowdStrike is forced to adopt Microsoft Defender due to a divestiture? That’s exactly what happened to this CrowdStrike customer, a major American retailer.

Cyberattacks evolve daily, and defenders are forced to adapt at the same rate. Cybersecurity best practices, however, are updated and codified much less frequently. There is broad experimentation in the field, and it takes some time for authoritative working groups to sort out which new practices and controls are practical and consistently effective for a large cross-section of users. Some guidelines and standards are updated every year or two and others much less frequently.

If you didn't trust contactless payment processors before, you really won't after hearing about this recent scam. The Aurora Police Department Economic Crimes Unit posted this tweet last week with a warning: Source: Twitter In a statement by Aurora Police Sergeant's Dan Courtenay on how cybercriminals obtain the user data to FOX31, “Now they have Bluetooth, where they can just sit in the parking lot of the gas station and it feeds right onto their laptop,” Courtenay said.

Threat actors continue to use generative AI tools to craft convincing social engineering attacks, according to Glory Kaburu at Cryptopolitan. “In the past, poorly worded or grammatically incorrect emails were often telltale signs of phishing attempts,” Kaburu writes. “Cybersecurity awareness training emphasized identifying such anomalies to thwart potential threats. However, the emergence of ChatGPT has changed the game.

On September 7, 2023, Apple released emergency security updates to fix a buffer overflow vulnerability (CVE-2023-41064) impacting macOS, iOS, iPadOS, and watchOS products that was used in a zero-click exploitation chain by the NSO Group. Shortly after, on September 11, 2023, Google released an update to fix a buffer overflow vulnerability (CVE-2023-4863) in Google Chrome, which was reported by Apple’s Security Engineering and Architecture (SEAR) and Citizen Lab.

On September 27, 2023, Progress Software released a security advisory detailing multiple vulnerabilities in their WS_FTP Server product, including two with a critical severity rating. CVE-2023-40044 (CVSS 10) is a deserialization vulnerability that affects the Ad Hoc Transfer module and could allow a threat actor to obtain remote code execution if successfully exploited.

A New World: The Cloud and Statistical Computing For biotechs, statistical computing has traditionally required complex on-premises infrastructure. Configuring servers and storage for data science became cumbersome and fluctuating project needs made scaling a headache. An immediate solution was needed, especially considering the complex needs of biostatisticians and data scientists alike. Enter The Cloud Enter the cloud revolution.