This latest survey is more confirmation that an oft-mentioned reality continues to be true – that the nature of threats keeps advancing and organizations frequently find themselves falling further and further behind. Far and away, the top reason given for increased stress isn’t low budgets or lack of training or failure of company leadership to prioritize security – even though these are among the reasons cited – it’s the “threat landscape is increasingly complex,” listed by 81 percent of respondents, nearly double the next-closest response.
Understanding the cyber attack surface Historically, the “attack surface” was limited to well-known points of external exposure—the traditional perimeter of websites, external IP addresses, and endpoints. Our cyber attack surface has expanded dramatically over the past five years, now encompassing our cloud estate, millions of devices at the edge, and mobile and remote workers, in addition to our internet-facing infrastructure. This expansion of the definition to include cloud, end-user, and internal assets has been driven by the increasing sophistication of cyber attacks. The table below breaks down today’s complex attack surface into several categories, based on a framework presented by…
Versa Advanced Threat Protection (ATP) is a comprehensive cybersecurity solution designed to protect organizations from sophisticated threats across various vectors. Versa’s ATP detection reports are mapped directly to the MITRE ATT&CK framework, providing security teams a fingerprint of attacks, which can then be used for attribution to known adversaries, incident response, simulation attacks, and other security measures.
Versa GenAI Firewall safeguards sensitive data from being uploaded into Generative AI tools (e.g. ChatGPT) while limiting shadow use cases of GenAI. It manages, monitors, and reports how your organization uses GenAI – including assessments on the riskiness of apps, controlling access, and preventing unauthorized data movement. Securing Generative AI Applications: Beyond LLMs While ensuring security for large language models (LLMs) is necessary to facilitate the adoption of GenAI applications within organizations, it is equally crucial to address broader concerns related to generative AI. Let’s delve into additional considerations: User-to-Application Access Control: Context: Generative AI tools are often accessed by…
In recent years we’ve witnessed transformative changes in both technology and the retail industry. The retail world has seen tremendous ups and downs over the past several years thanks to the impact of COVID. In addition to challenges such as store closures, reduced foot traffic, and supply chain problems, digital disruptions include an increasing shift to e-commerce and new types of cyber threats that have dramatically changed how people shop and how retail businesses should operate. In the technology world, numerous stunning innovations such as AI/ML-assisted network operations and threat detection are making people’s jaws drop because of their capabilities…
The global pandemic and rise in remote work has forced organizations to review how they provide remote workers access to IT resources. Existing solutions based on virtual private networks (VPN) can’t keep pace with the scale of remote users and often lead to a poor end-user experience.
In today’s world where any organization can be a target for cyberattack, Secure Access Service Edge (SASE) can help ensure organizations can create a streamlined and secure network architecture that spans from the central headquarters to remote locations and mobile end users.
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