Whatfix & JFrog split on enterprise AI trust & security
Thu, 16th Jul 2026 (Today)
Technology vendors Whatfix and JFrog marked AI Appreciation Day with contrasting priorities for artificial intelligence adoption. Their leaders pointed to trust, workflow design, and security governance as the next tests for enterprise AI.
Whatfix, which develops a digital adoption platform with an AI-focused approach, described this as an early phase in AI's impact on work. It presents its product as a way for enterprises to embed AI into everyday business processes while maintaining control and oversight.
"AI Appreciation Day is a reminder that the biggest gains are still ahead, particularly for the organizations willing to build the trust to get there. We've seen this pattern before. Every major technology wave, from the internet to the cloud, has unfolded in several acts: infrastructure first, platforms second, and enterprise transformation last. This happens because business-critical workflows demand a level of reliability that takes time to earn," said Khadim Batti, Chief Executive Officer and Co-Founder of Whatfix.
Batti linked the pace of enterprise AI adoption to how tools are introduced and governed. He argued that deployment choices and user experience shape whether staff accept or resist AI systems.
"Building that trust starts with how we deploy AI. Too often, AI fatigue gets blamed on the tools themselves, when it's really an implementation failure. Employees are left to guess at boundaries, prompt their way through ambiguity, and absorb friction that good design should have removed. The organizations that will lead when AI reaches its next inflection point will be the ones that treat AI as an operating model transformation, rethinking how work gets structured so AI can execute autonomously within clear guardrails, while employees focus their energy on judgment, strategy, and creativity," Batti said.
Whatfix said its AI offering is centred on an engine called ScreenSense, which interprets user context and intent and is embedded into enterprise software workflows.
"That's the vision behind Whatfix AI. Powered by ScreenSense, our AI engine that understands context and intent, Whatfix AI embeds agentic intelligence directly into enterprise workflows. Rather than expecting employees to navigate an ever-growing collection of AI tools, AI agents operate within enterprise guardrails to deliver contextual guidance, accelerate execution, surface adoption friction, and continuously optimize how work gets done. The real promise of AI is that intelligence becomes an invisible part of the operating model, empowering people with the right support, at the right moment, while organizations retain the governance and control needed to scale AI with confidence," Batti said.
"When organizations get this right, AI starts to feel less like another application employees have to learn and more like a trusted collaborator woven into every workflow. It stops competing for people's attention and starts compounding their impact, giving them back time to focus on the work that requires unique human judgment, creativity, and strategic thinking," Batti said.
Security-focused software firm JFrog highlighted a different set of concerns, emphasising gaps in AI governance and software supply chain security, particularly in Australia.
"AI Appreciation Day is a good moment to take stock of how far we've come - and what it takes to keep moving forward responsibly. In Australia, that progress is real. The JFrog 2026 Software Supply Chain Security State of the Union found 68% of Australian organisations now self-host their AI models, 47% automate blocking of unapproved developer tools at the workstation layer, and 67% have full production provenance visibility - all leading figures globally. However, the next step is closing the governance gaps: 62% of Australian organisations aren't actively scanning for exposed credentials, API keys, or tokens. Secrets detection is the most under-deployed security control relative to threat level in markets like Australia and that's a risk. This is one of the key reasons JFrog joined both Chainguard's Project Athena and IBM/Red Hat's Lightwell coalitions. Both exist to ensure vulnerabilities in open source are found, fixed, remediated and put into production at enterprise scale for the broader community. Appreciating what AI enables means investing in the conditions that make it trustworthy. That is what JFrog stands for and we're proud to say that work is already well underway in Australia," said Itzik Swissa, Country Manager A/NZ and Senior Director of JFrog.