Security in the era of the public cloud breaks established practices for securing infrastructures and applications. The growing digitalization is driving a need for new compute and application architectures. Decentralized services and complexity of applications combined with their reliance on internal and external APIs require new and disruptive approaches to architecting security.
The HIDS, NIDS, and flow collectors from the on-premises do not adapt well to cloud-based environments. Native cloud applications build from containerized microservices providing dynamic scale and end-to-end encrypted service meshes create new challenges for legacy application security solutions.
As attackers get more automated, more organizations are becoming a target. The growing sophistication of attacks results in breached defenses too often. There is an urgent need for increased defensive capabilities of applications and APIs against targeted and automated attacks, driven by behavior analytics and machine learning algorithms enriched with real-time threat intelligence.