Does your org incorporate input from development teams before deciding which AppSec tool to purchase?
Yes, always33%
Sometimes58%
No8%
Unsure
72 PARTICIPANTS
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What are the biggest technical challenges preventing organizations from being able to use their existing data to enable digital transformation?
Finding data and putting it to good use13%
Controlling the security and privacy of data45%
Understanding how data is currently being used20%
All of the above19%
None of the above1%
AI and Research in Marketing and Communications: How Are You Ensuring Quality and Truth Over Speed? As AI becomes embedded in our day-to-day marketing operations, from customer insight to content strategy, it’s clear we’re gaining speed and scale. But are we sacrificing veracity and quality of output in the process? One of the biggest challenges I'm seeing is the rise of hallucinated content in AI-generated research. - How do we ensure AI systems are surfacing trustworthy, contextually accurate, and well-sourced information? - Are we building enough verification layers into our AI-driven content and research workflows? - And how are you educating teams (and execs) to challenge AI outputs, rather than accept them at face value? - What frameworks, tools, or governance models have you adopted to maintain integrity and depth in AI-led research and insight creation? - Have you had success (or struggles) balancing speed vs. substance in AI-powered strategies? Your thoughts, examples, and recommendations would be incredibly valuable in helping others try to navigate this shift responsibly.
What's your most indispensable cloud infrastructure tools to use in addition to what you get from GCP, AWS, Azure?
HashiCorp (Terraform, Vault, Packer, etc.)22%
Cloud infra automation (Ansible, Puppet, Chef, etc.)56%
APM (Datadog, AppD, SignalFX, NewRelic, etc.)10%
Others?10%
I feel it's important to discuss an applications impact with any areas of IT, it makes a more effective team that pulls together to address cybersecurity issues and needs.