Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Managing vulnerabilities across multiple domains, and especially application security, is a challenging task for enterprise organizations. Security teams often find themselves grappling with fragmented tools and data, leading to inefficiencies and potential blind spots. Seemplicity’s recent integration with Ox Security addresses this issue directly, offering a unified approach to vulnerability management that bridges the gap between security, development, and operations teams.

Writing reliable and user-friendly web applications takes significant knowledge, skill, and experience; writing secure web applications introduces a whole new level of complexity.

Since early September, Cloudflare's DDoS protection systems have been combating a month-long campaign of hyper-volumetric L3/4 DDoS attacks. Cloudflare’s defenses mitigated over one hundred hyper-volumetric L3/4 DDoS attacks throughout the month, with many exceeding 2 billion packets per second (Bpps) and 3 terabits per second (Tbps). The largest attack peaked 3.8 Tbps — the largest ever disclosed publicly by any organization. Detection and mitigation was fully autonomous.

Support for cloud security posture management (CSPM) misconfigurations: Our enhanced CSPM tools vigilantly monitor cloud infrastructures for misconfigurations, compliance violation and security gaps, providing complete visibility into security posture early in the development cycle and saving SecOps teams time.

Testing Classic AUTOSAR applications has long been a significant challenge due to the reliance on hardware-in-the-loop (HiL) setups, which are costly, complex, and hard to scale. Code Intelligence’s new lightweight AUTOSAR simulator revolutionizes this process by enabling entire AUTOSAR applications to run on x86 Linux systems, thus facilitating software-in-the-loop (SiL) testing.

Artificial intelligence (AI) is increasingly embedded in modern organisations—from standalone generative AI apps to AI copilots in popular SaaS platforms, and the integration of self-hosted or public large language models (LLMs) in private applications tailored to specific business needs. The recently introduced EU AI Act sets out to regulate AI development and usage, ensuring that AI systems are safe, ethical, and respect fundamental rights.