OpenDerisk provides a modular, extensible platform to evaluate and mitigate risks in AI systems. It includes fairness evaluation metrics, privacy leakage detection, adversarial robustness tests, bias monitoring, and output quality checks. Users can configure pre-built probes or develop custom modules to target specific risk domains. Results are aggregated into interactive reports that highlight vulnerabilities and suggest remediation steps. OpenDerisk runs as a CLI and Python SDK, allowing seamless integration into development workflows, continuous integration pipelines, and automated quality gates to ensure safe, reliable AI deployments.

Webb Fontaine is a leading provider of AI technology solutions for trade facilitation. Our products cater to a range of trade needs, from customs valuation and risk management to a single window platform for streamlined import and export operations. Using cutting-edge technology, we empower governments and businesses worldwide, ensuring faster, more accurate processes while reducing fraud and enhancing security. As a result, we help to reshape the landscape of global trade, facilitating commerce with transparency and efficiency.

Odyssei offers a sophisticated platform for conducting in-depth human risk assessments. By utilizing advanced algorithms and data analysis, Odyssei helps organizations evaluate potential risks, ensure compliance with safety standards, and make informed decisions. Users can input specific data and scenarios, and Odyssei provides detailed insights and actionable recommendations to mitigate identified risks.

Stock-Agent is an open-source AI-powered trading assistant designed to automate equity trading workflows. Leveraging OpenAI’s GPT-4 for contextual understanding, it fetches real-time market quotes, interprets financial news, computes technical indicators like moving averages and RSI, and produces actionable buy and sell recommendations. It connects to the Alpaca brokerage API to execute orders, enforce risk management rules, and track portfolio performance via detailed analytics dashboards. Developers can extend its toolset with custom functions, backtest strategies using historical data, and schedule automated trading sessions. Stock-Agent streamlines end-to-end trading operations, reducing manual analysis, accelerating decision-making, and ensuring consistent strategy deployment.

Ostorlab leverages machine learning and automated scanning engines to perform end-to-end mobile app security assessments. Developers upload app binaries or connect repositories, and Ostorlab’s AI performs static code analysis, dynamic runtime testing, and network traffic inspection. The platform highlights critical, high, and medium-risk issues, offers remediation guidance, and integrates into development workflows for continuous monitoring and compliance management.

Adversa AI is an industry leader in applying security measures to artificial intelligence systems. Their patented technologies are designed to protect AI from vulnerabilities, false identification, and safety incidents. With recognition from Gartner and multiple industry awards, Adversa AI focuses on automated security solutions, threat modeling, and risk management for various industries including finance, automotive, and cybersecurity.

AI Pro Trading Signal is an advanced trading application that leverages artificial intelligence to provide users with accurate, real-time signals for various financial markets including Forex, Cryptocurrencies, and Stocks. With a high success rate of up to 97%, the app delivers not just entry points, but also risk management suggestions like stop-loss and take-profit levels. Traders can receive multiple signals daily, making it a robust companion for both novice and experienced traders. Its intuitive layout ensures ease of use, while its cutting-edge technology keeps you informed and prepared to make timely trades.

Autogen Quant Invest Agent leverages large language models to automate the full quantitative investment pipeline. It connects to data APIs for market, fundamental, and alternative datasets, performs feature engineering and statistical analysis, and formulates algorithmic trading strategies. The agent orchestrates backtesting across historical periods, generates performance reports, and conducts risk assessments including drawdown, Sharpe ratio, and VaR. With customizable modules, users can tune strategy parameters, integrate custom indicators, and automate portfolio rebalancing rules. The framework’s modular chain-of-agents design allows seamless integration with order execution systems or data warehouses. This tool streamlines systematic research, reduces manual scripting, and empowers quantitative analysts to rapidly prototype, evaluate, and deploy investment models.

Deep Threat Model leverages GPT-driven algorithms to analyze your application’s architecture and automatically generate comprehensive threat model diagrams. After specifying the application name and a brief description, the tool identifies assets, categorizes trust boundaries, and enumerates threat actors. It then maps potential attack vectors and suggests security controls, outputting the results in editable Mermaid or PlantUML notation. The AI engine ensures consistency across diagrams, flagging missing controls and highlighting high-risk components. Diagrams can be exported, refined manually, or integrated into CI/CD pipelines for continual security reviews. This streamlined approach reduces manual effort, minimizes errors in threat identification, and accelerates security documentation for development and compliance teams.

Evalify is an AI-driven platform that streamlines the process of analyzing legal risks in patent documents. By processing data from around 200 million global patents spanning 170 jurisdictions, it provides swift and insightful assessments essential for tech startups and investors. Its advanced algorithms significantly reduce the time and effort required to identify potential intellectual property infringements, thereby enhancing decision-making and risk management in innovation-related ventures.

Gorilla Terminal is an AI-driven investment research platform designed to simplify and enhance the research process for investors and traders. It provides rich macroeconomic data, robust risk management tools, regression analysis, and sector overviews. The platform’s intuitive design allows users to effortlessly access and analyze financial data, perform value-at-risk analysis, and leverage supply chain insights. By integrating machine learning, Gorilla Terminal accelerates research time and improves decision-making for professional traders, analysts, and portfolio managers.

Imandra offers a cloud-native automated reasoning system designed to bring rigor and transparency to the analysis and design of complex algorithms. With Imandra, users can convert input into mathematical logic and automate reasoning processes, ensuring safety, fairness, and compliance of algorithms. Imandra is especially suitable for high-stakes industries such as finance, where the reliability of algorithms is critical.

Insightfolio provides comprehensive insights into your investment portfolio, allowing for effective risk management and performance analysis. The tool quickly evaluates your investments to identify potential adjustments, ensuring you're equipped to make informed decisions. By consolidating various data points, Insightfolio simplifies the complexity of investment analysis—saving time and enhancing profitability for users looking to maximize their returns. Whether you're a seasoned investor or just starting, Insightfolio equips you with the insights needed for effective portfolio management.

Investilyze is an advanced AI-driven stock analysis platform that processes thousands of data points across global markets to identify potential investment opportunities. Users receive smart notifications with confidence scores and impact levels for high-potential trades, enabling them to make informed trading decisions. The platform supports seamless integration and offers tailored plans for both small investors and professionals, ensuring data-backed decision-making at every level.