AISecOps: Continuous AI Security and Safety
Continuous verification and validation of deep learning and large language model security and safety for AI applications and agentic AI systems.
What We Do
Aethercloud is an independent AI test lab based in Silicon Valley, California that helps customers continuously verify and validate the security and safety of deep learning and large language models, and of AI applications, including agentic AI systems.
Beyond traditional Machine Learning Operations (MLOps), Aethercloud's AISecOps framework blends machine learning and data science with cybersecurity and DevOps. To enable AISecOps, Aethercloud leverages and helps to maintain a rich ecosystem of research-based open source AI model and application test tools.
In addition to in-house testing, independent AI model and application testing is the best practice to manage AI related risks including risks to security, privacy, safety, trustworthiness, fairness, explainability, and more.
Solutions
Requirements Analysis Workshops
The legal and regulatory landscape of AI is complex. Organizations often struggle to determine exact technical and product requirements. Aethercloud conducts workshops with clients to help them better understand what responsible AI means in practice. Technical requirements vary depending on industry, applicable laws and regulations, and as a function of use case, technology stack, and application.
Risk Assessment
Aethercloud helps clients assess the technical risks associated with AI models and applications throughout the AISecOps lifecycle. Risk assessments include discovering and analyzing AI model risks, assessing the probably of risks being realized, and their potential impact. Comprehensive findings and recommendations based on industry best practices provide objective risk assessments and actionable roadmaps to effectively prioritize and manage risk.
Threat Modeling and Technical Audit
Aethercloud performs threat modeling and technical audits for AI models and applications, including agentic AI systems, in order to ensure that clients not only comply with applicable frameworks, laws, and regulations, but that real-world risks are mitigated. Technical Audits map security controls and AI observability capabilities to legal and regulatory requirements and to real-world threats. Technical Audits also establish a baseline for metrics to continuously improve security and audit readiness.
AISecOps
Aethercloud helps clients integrate security, privacy, and other testing throughout the AI model and application lifecycle, including testing for agentic AI systems.Aethercloud provides testing strategies, together with solution architecture, design, and implementation to automate testing at every step. For data and AI models, continuous testing begins with data ingestion, and continues through training, fine-tuning, embedding for retrieval augmented generation (RAG), and inference. Testing for AI application and agentic AI system development is integrated throughout the MLOps lifecycle, and into ongoing operations for running applications. Aethercloud leverages and helps to maintain a rich ecosystem of research-based open source AI model and application test tools.
