Operations | Monitoring | ITSM | DevOps | Cloud

Every dependency security program needs a way to handle packages that have a valid business reason to stay in use despite a CVE or license issue. Ideal exception processes give developers full context upfront, including safer alternatives, then route real requests to a security team that weighs the risk profile and logs who requested it, who approved it, and for how long. Get the friction wrong in either direction and the process fails: too much and developers route around it, too little and it becomes the default path.

Claude Code changes how fast software gets written. Harness changes whether you can trust what shipped. In this video, watch how autonomous AI agents handle end-to-end bug fixing, security remediation, and deployment verification—all within an automated Harness pipeline. From reading a ticket to running canary deployments and self-healing broken manifests, see how engineering teams can deliver software faster without sacrificing quality or security.

What happens when AI agents can operate faster than humans can monitor them? In this clip, we discuss the risks of autonomous AI systems, why human oversight may not be enough, and the growing need for machines that can monitor other machines.

What are the best IT orchestration tools for ITSM? Compare Resolve, ServiceNow, PagerDuty, BigPanda, and Splunk ITSI across workflow automation, governance, integrations, alert correlation, incident response, and enterprise scalability. In this video, you’ll learn: These platforms are not identical. Resolve focuses on orchestrating workflows across systems. ServiceNow centers automation around ticketing and CMDB governance. PagerDuty specializes in incident response. BigPanda focuses on event correlation and triage, while Splunk ITSI provides service intelligence and event analytics.