A specific example of how I use Trend Micro Deep Security in my daily work involves a critical vulnerability related to Apache Log4j that was recently announced. Before the patching, I checked the IPS module and had a virtual patch available. By enabling that rule for Log4j, all servers were protected from exploitation without waiting for vendor-released patches, preventing potential data breaches and downtime during the patching window.
I use zero-day exploit mitigation with Trend Micro Deep Security. Whenever a zero-day vulnerability is announced, Trend Micro Deep Security's virtual patching via the Intrusion Prevention System protects workloads before vendor patches can be applied, and ransomware protection is also available. My team manages hundreds of servers across on-premise and cloud environments, and when a critical vulnerability is announced, applying OS patches manually would take days and require downtime. As a Trend Micro Deep Security engineer, I have virtual patching via IPS that instantly protects all workloads and systems without scheduling maintenance windows, eliminating emergency patching chaos, preventing downtime, and allowing faster compliance reporting. This enables my team to focus on strategic tasks instead of manual patching. The centralized dashboard also makes work much easier.
In terms of automation, auto-deployment of agents integrates with cloud APIs and orchestration tools including Chef, Puppet, and Ansible to automatically install and configure the agents on new workloads. Policy automation applies protections based on tags or templates, ensuring that whenever a new server is created, it receives the right protection without manual intervention. Scheduled tasks automate malware scans, log inspections, and integrity checks at predefined intervals, and CI/CD pipeline integration allows checks to be embedded into DevOps workflows, ensuring containers and workloads are scanned before deployment.