Due to their numerous components and dependencies, web applications often have multiple vulnerabilities—many of them unknown and susceptible to zero-day attacks—that can be exploited by malicious HTTP requests. Determining whether a vulnerability exists is challenging without visibility into an application’s real-time data and event flows, which isn’t possible with existing firewall-based solutions.

Understanding the threats we face is crucial to protecting against them. Industry research and reports are invaluable to this understanding, providing insights to inform mitigation efforts. Few cybersecurity reports are as valuable or comprehensive as the annual ENISA Threat Landscape Report (ETL).

With the release of iOS 18, Apple has continued to expand its integration of AI technologies, positioning the iPhone as a powerful personal assistant capable of smart recommendations, advanced text and image analysis, and even predictive suggestions. Leveraging on-device machine learning, iOS 18’s AI features tap into user data to provide a personalized experience.

Runtime security in multi-cloud environments encompasses the continuous monitoring and protection of cloud-based resources during their active operation. Unlike traditional security approaches that focus on static configurations or pre-deployment checks, runtime security emphasizes: This approach ensures that potential risks are identified and mitigated in real-time, providing an additional layer of protection against both known and emerging threats in complex multi-cloud setups.

Threat hunting is the discovery of malicious artifacts, activity or detection methods not accounted for in passive monitoring capabilities. Essentially, threat hunting is the process of identifying unknown threats that otherwise would be hiding in your network and on your endpoints, lying in wait to further expand access and/or steal sensitive data.

Discover how our Wholesaler Management application for Shopify enhances B2B operations by streamlining bulk order management, automating workflows, and providing transparent pricing.

As organizations race to adopt generative AI (GenAI) to drive efficiency and innovation, they face a new and urgent security challenge. While AI-driven tools and large language models (LLMs) open vast opportunities, they also introduce unique vulnerabilities that adversaries are quick to exploit. From data exposure to supply-chain risks, the potential for threats to AI systems is growing just as fast as the technology itself.

Terraform is today’s leading Infrastructure-as-Code platform, relied upon by organizations ranging from small startups to multinational corporations. It enables teams to declaratively manage their cloud or on-premises infrastructure, allowing them to provision or decommission infrastructure components simply, consistently, and with auditability.

As the official implementation date approaches for the Digital Operational Resilience Act (DORA) – financial institutions and their information and communication technology (ICT) service providers, across the European Union are gearing up for a significant shift in their operational landscape.

Product security leaders face the monumental task of identifying and safeguarding their most critical cloud and application assets within large and complex cloud environments.