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Team

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AI Safety Research Team​​

Buenos Aires

Argentina

Latam

Omar U. Florez

Stealth AI startup | Ex Senior ML Researcher @Twitter Cortex | Senior Research Manager @CapitalOne | Research Scientist @Intel

Martín Tripiana

Director of AI Lab at Abi Global Health. Mathematical and physical modelling. Data mining and statistical analysis. Problem solving, machine learning applications and numerical simulation.
Initiative and leadership in research and project development.
Experienced in working in large international collaborations, in congresses and publications.

Pablo  Roccatagliata

Professor @ UTDT | Statistics, Token Economics, Machine Learning

Diego Slezak

Professor @ University of Buenos Aires | Ph.D. in Computer Science

Matías zabaljauregui

 Decentralized AI Research @ AI Lab | University of Buenos Aires

Eitan Sprejer

​AI Scientist @ GetGloby | AI Safety Community @ UBA

Christian Moya 

Applied mathematician and AI researcher advancing scalable uncertainty quantification and interpretability for robust, trustworthy AI. Christian's work focuses on applying AI innovations to drive discoveries in science and engineering.

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Department of Mathematics, 

Purdue University, prev: Ohio State University, Argonne National Lab

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www.linkedin.com/in/christian-moya-cal

@cmoyacal_math

interested?

let's work together

Venten.ai bridges the critical gap between enterprise AI utility and adversarial robustness. As organizations shift from static chatbots to autonomous agentic workflows, the attack surface expands from simple prompt injections to the hijacking of tools, memory, and decision-making logic. We provide the technical rigor necessary to ensure that your AI agents remain secure, aligned, and resilient against sophisticated cyber kill chains that target the very muscles and memory of your autonomous systems.

Our missionOur differential lies in a transition from traditional black-box testing to a research-driven, Defense-in-Depth methodology. By quantifying the Security Decay Factor in open-weight and quantized models, we implement specialized architectural layers—including semantic firewalls, dynamic output sanitization, and autonomous red teaming. At Venten.ai, we do not just test prompts; we audit the entire agentic lifecycle, transforming AI safety from a static benchmark into a dynamic, measurable KPI for high-stakes production environments.

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