Gong names R&D chief and promotes CISO for AI agents

By Daniel Okafor

Gong reports serving more than 5,000 businesses worldwide. The AI-powered revenue-intelligence software company has appointed Liron Shtraichman chief research and development officer and promoted Guy Havusha chief information security officer as it expands agents that act across revenue workflows.

Shtraichman joins from monday.com, where he led global engineering operations across platform and product-development teams during what Gong described as significant growth. He also helped oversee monday.com’s transition toward AI-native software engineering, integrating AI into development processes and engineering workflows.

At Gong, Shtraichman will lead research and development, expand the platform’s agentic AI capabilities and support three named components: Revenue Graph, Revenue Harness and Revenue Operating Surfaces. His remit includes moving agents beyond analysis of sales conversations and customer interactions toward executing tasks across revenue workflows.

CEO and co-founder Amit Bendov said: “Enterprises are rebuilding their revenue stacks around AI, and Gong Revenue AI is at the center of that shift. The next phase is about agents that don’t just surface insights, but take action and deliver results at enterprise scale.”

Gong describes Revenue AI as a combination of sales intelligence, workflow automation and AI agents for managing customer relationships and revenue operations. The announcement offers no win-rate, cycle-time, adoption, customer-segment or agent-usage figures. Its 5,000-business figure measures the overall customer footprint, not autonomous-agent use or commercial impact.

Shtraichman said: “Gong is at a rare moment: unmatched insight into how revenue teams win, a platform already putting agents to work for thousands of customers, and leading a major technology transition. I’m looking forward to learning from our customers and the team that built Gong, and to pushing our leading agentic innovation even further.”

Havusha previously served as Gong’s vice president of platform security and assumes responsibility for global security, privacy and compliance programs. Before joining Gong, he was global CISO at monday.com, where he oversaw enterprise security operations.

His new remit centers on protecting customer data, strengthening governance and ensuring Gong’s AI applications and autonomous agents operate within enterprise security requirements. Gong frames the promotion as a response to agents’ growing access to sensitive information and their ability to perform business tasks.

In June 2026, Gong introduced Revenue Harness, an execution and governance framework for building and deploying customized AI agents. It specifies data-access permissions, audit trails and configurable human oversight, with controls over how agents access information and execute work across sales and customer-management workflows. The release describes intended controls rather than published deployment results.

In October, at its Celebrate ’26 event, Gong introduced Gong Activate, which expands Revenue AI so sales teams and agents can coordinate work involved in winning, retaining and growing customer accounts. That covers the new-business, retention and expansion stages, but the announcement supplies no stage-level adoption or performance data for enterprise teams of different sizes.

Gong also says it earned Leader status in Gartner’s Magic Quadrant for Revenue Action Orchestration for the second consecutive year. The announcement provides no Gartner report date, evaluation sample or scoring detail, so the recognition remains an external designation without disclosed methodology in the source.

What does this change for enterprise revenue teams?

It changes who owns two parts of the operating model. Revenue, sales and customer-management leaders gain an R&D executive accountable for agents that can execute tasks, while security, privacy and compliance leaders gain a CISO responsible for their controls.

For enterprise buyers, Revenue Harness addresses pre-deployment governance through permissions, audit trails and human oversight; Gong Activate addresses coordination across winning, retention and expansion. Havusha’s appointment puts data protection and operational reliability alongside product development.

The source does not specify eligible team headcount or quantify time saved. The immediate change is organizational and product-governance responsibility, not a measured productivity gain.

The next test is operational: whether Shtraichman’s agent roadmap and Havusha’s controls can support reliable execution at enterprise scale without weakening security. Until Gong publishes adoption, workflow-level results and independent evaluation details, revenue leaders should treat the 5,000-business footprint and Gartner designation as context, not proof of agent performance.