10 Best Cyber Security Companies 2020
Machine learning (ML) and artificial intelligence (AI) are becoming pivotal and most dominant problem-solving techniques in many areas of research and industry, not least because of the recent successes of deep learning (DL). The world is growing exponentially, and so is the size of the data collected across the globe. Data is becoming more meaningful and contextually relevant, breaking new ground for machine learning (ML), particularly for deep learning and artificial intelligence, moving them out of research labs into production. Artificial intelligence and machine learning have expanded from board room presentations into practical applications. The pace of this expansion is only going to accelerate. But even as AI expands into mission-critical systems, there remain capability gaps in the ability for teams to validate, monitor, and ultimately secure these autonomous systems. As more and more teams deploy AI into mission and business systems, these capability gaps will either cause AI to fail, or prevent broad adoption by security and conscious compliance organizations. Artificial intelligence and machine learning help people and businesses achieve vital goals, obtain actionable insights, drive critical decisions, and create exciting, new, and innovative products and services.
CalypsoAI is one such firm that helps its clients accelerate their automated future. To do this, the firm is advancing the science behind Trusted AI, ranging from AI accreditation to defenses against adversarial machine learning attacks. It turns these scientific advancements into actionable software tools. Its software is relied upon to give the ground truth view of AI performance, reliability, and security. The company's software puts the human directly into the AI development and utilization loop by allowing developers and operators deep insight into model behavior while allowing for stress tests and ongoing performance monitoring.
Next-gen products furnished by CalypsoAI
Vespr software platform
Integrated across development, testing, and active monitoring, Vespr provides an intuitive workflow for model development while automating critical quality assurance tests - giving any team the ability to deploy best-in-class AI models. In deployment, it monitors AI systems for ongoing performance, compliance, and security thresholds. For the organization, Vespr provides detailed insights into AI in development and implementation. It is built on top of CalypsoAI's industry-leading AI validation, verification, and accreditation (VV&A) standards, the proprietary adversarial machine learning libraries, and CalypsoAI's automated model stress-testing capabilities. These tools give any team the ability to understand, score deeply, and track their AI models' performance and reliability.
Vespr organizations can apply standardized testing and evaluation to all models in their pipeline and environment, providing unparalleled insights into model risk management. Vespr provides powerful monitoring capabilities for AI in use. The built-in monitoring toolkit offers profound insights into the causes of model behaviors while monitoring critical security, drift, and compliance indicators. Vespr provides a development workflow with testing and adversarial machine learning (AML) security built-in. It gives teams structured capabilities to build, test, and deploy Secure AI that is robust against attack. Whether to increase innovation at the edge or focus on up-skilling data science in your organization, Vespr makes AI accessible to less technical users, increasing adoption without sacrificing performance, quality, and security.
Primers on Adversarial Machine Learning
CalypsoAI aims to fix these challenges with Build Secure feature in Vespr. Build Secure allows warfighters to rapidly generate data science models, either using traditional code-based modeling systems or no-code/low-code environments. Using Build Secure in Vespr, teams can generate actionable insights while understanding the quality of the models generated. Perhaps most critically, commanders can easily assess the quality, risks, and performance of models before use while actively monitoring models for adversarial attacks, environmental impacts, or model drift.
The driving force behind the triumph of CalypsoAI
Neil Serebryany is the Chief Executive Officer of CalypsoAI. Mr. Neil has led industry-defining innovations throughout his career. As a DoD civilian, Neil has pushed science and applications forward from being one of the world's youngest venture capital investors to the front lines of national security innovation. He holds multiple patents in the space of machine learning.