: This technology allowed organizations to hide sensitive resources from public discovery. By using a trust broker, access was restricted only to specified participants, significantly reducing the external attack surface. Key Trends and Solutions

: This involved using decoys, honeypots, and "honeytraps" . By creating a false digital reality, security teams could mislead attackers, disrupt their automated tools, and detect breaches with high confidence.

: AI began to play a critical role in analyzing massive datasets to predict potential threats and automate responses that were previously handled manually. Startups like buguroo leveraged deep learning for real-time fraud monitoring.

In 2017, the cybersecurity landscape was heavily influenced by a shift toward and automated response . Following massive global events like the WannaCry ransomware attack , organizations moved away from traditional perimeter-based security toward technologies that could detect threats already inside the network. Core Emerging Technologies of 2017

: These solutions augmented traditional antivirus by continuously monitoring endpoints (laptops, mobile devices) for unusual behavior. Experts predicted that by 2020, 80% of large enterprises would adopt EDR to catch advanced threats that bypass standard firewalls.

: As businesses migrated to SaaS and public clouds, CASBs provided a central point of control to maintain visibility and security policies across multiple cloud services.

Beyond specific software, 2017 saw a rise in architectural shifts: 7 cybersecurity trends for 2017 | CIO Dive