From AI Suggestions to Deterministic Code Fixes
Gartner® positions AI Agents at the Peak of Inflated Expectations - at Gomboc, we believe our deterministic engine provides the safety and logic required to deploy them in production today.
Download the Gartner® Hype Cycle™ for AI in IT Operations
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Why AI Security is Stuck in the "Pilot Phase"
The Time Gap
Hype Cycle for AI in IT Operations,2025
Gartner positions AI Agents at the Peak of Inflated Expectations with mainstream adoption expected in 2 to 5 years.
The Trust Barrier
AI for cybersecurity at risk of getting stuck in pilot
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AI Security Code Assistants are currently "Stuck in Pilot" due to High Deployment Risk and tech stack incompatibility.
The Core Issue
Enterprises cannot scale on probabilistic uncertainty. AI that merely suggests a fix lacks the explicit rule logic and deterministic safety required for production systems.
Deterministic AI Execution with ORL
Gomboc’s conviction is that organizations can move past the 2-to-5-year wait for mainstream AI Agent productivity
Gomboc eliminates the wait. Our Open Remediation Language (ORL) provides the deterministic layer that anchors AI reasoning in hard-coded policy intent.
Production Safe: Deliver merge-ready pull requests through existing Git/CI/CD workflows.
Universal Scale: Proven to solve complex issues like Log4Shell in <24 hours across 35+ languages.
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Access the full report
Download the Gartner Hype Cycle for AI in IT Operations, 2025 to learn why AI assistants require deeper AI sophistication to reach the plateau and how to bridge the gap between pilot and deployment.
Disclaimer
Report Attribution: Gartner, Hype Cycle for AI in IT Operations, 2025, Cameron Haight, 23 June 2025. Gartner, Top Takeaways From the 2026 Cybersecurity Technology Adoption Roadmap by Christine Lee, Rahul Balakrishnan 4 March 2026
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This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Gomboc.