An open cloud native capacity solution which helps you achieve ultimate resource utilization in an intelligent and risk-free way.
ETM enables the creation of detailed attack graphs and figures while calculating the risk associated with your attack narratives. ETM was built keeping NIST recommendations on threat matrices in mind. Features an API to interact on your data to act as a living database of your executed threat models.
A deep research study introducing the concept of Economic DNA Repair for smart contracts, designing self-correcting tokenomics that detect anomalies, repair unstable parameters, rebalance incentives, and restore economic equilibrium. Explores adaptive rewards, automated governance, liquidity healing, and resilience in decentralized systems.
Open-source methodology on pentesting and risk mitigation
This code pattern is a data science driven solution that uses machine learning to build a knowledge graph of the client associations network and related events from data available as open source and performs multidimensional correlation on these to gain insights.
A Cool Wallet is a risk mitigation tool to store private keys safely.
Multi-Stage Re-Identification Game Solver
A Visual Studio Code extension that integrates the Debricked CLI to provide security vulnerability scanning and license compliance directly within the editor.
Projeto de finanças em que é plotada a fronteira eficiente a partir da máximização do retorno e minimização de risco de um portifólio de ativos de renda variável
AI-driven cognitive assistance sandbox with EarthLight model prototypes. Language-first decision models for AI: Equilibrium (α), Backcasting (β), Semantic Grounding (γ).
A Reinforcement Learning MVP (Minimum Viable Product) for Condition-Based Maintenance (CBM) using industrial equipment temperature sensor data. This project implements a sophisticated QR-DQN (Quantile Regression Deep Q-Network) agent to learn optimal maintenance policies balancing risk mitigation and cost minimization.
This project is about credit payment defaults prediction using machine learning techniques based solely on payment data. By analyzing historical payment patterns, we aim to identify customers at risk of defaulting on their loans or credit payments, helping financial institutions in risk mitigation
This repository houses the code and resources used to successfully migrate SAP applications and Hana DB servers from onPremises to the AWS Cloud.
Read-only mirror of a non-binding mapping clarifying stack placement and timing between ΠΡΟΣΗΜΑ and ΠΡΟΘΥΜΙΑ.
Risk assessment and mitigation framework for autonomous driving. Introduces the Safety-Threat Indicator (STI) and a reinforcement learning-based mitigation controller. Featured at DSN 2024.
displaying the high value of my Human Integrated artificial intelligence logic by Exploiting a potential hole in a search engine Ai - assistive software behavior patterns and logic early before it carries on and becomes a critical error memorized as the systems behavioral habit and repeats the mistake.
PARP is a governance framework designed for an era where technological capability outpaces human comprehension. PARP focuses exclusively on human conduct, operating on the core axiom of Opacity–Obligation Inversion, rather than debating machine consciousness or sentience
This project explores network design and security, highlighting their importance in safeguarding organizations from risks like data breaches, network failures, and financial loss. It develops a scenario to discuss fundamental network design, implementation, and security measures, considering factors like organizational size, age, and purpose.
Le but de ce projet est de s'entrainer à réaliser le cadrage d'un projet orienté IA, dans un contexte Agile.
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