AIceberg
Next generation AI risk management and explainability platform for supervised learning and generative AI. True natural language capable AI explainability, risk management and real-time monitoring for model quality, performance and security. Compliant and transparent operations of AI and monitoring of third party models.
http://aiceberg.ai
11-50 employees
Growth Trajectory
Aiceberg.ai has the potential to grow by expanding its offerings in predictive AI explainability with SAGA, scaling its pilot program to a wider customer base, and developing further AI TRiSM solutions to stay ahead of the rapidly evolving AI landscape.
Technical Challenges
Securing LLMs processing vast amounts of unfiltered and potentially sensitive information
Limitations of public LLMs in safety, security, and compliance
Explainability and interpretability of large language models
Detecting common attack vectors like prompt injection and jailbreaking
Security analysis for agentic workflows
Tech Stack
Team Size
Key Risks
Competition in the AI security market could hinder growth.
Rapidly evolving AI landscape requires continuous innovation to address new attack vectors.
Ensuring real-time, accurate validation of AI application traffic poses a technical challenge.
Compliance and regulatory requirements for AI use could create industry constraints
Opportunities
Addressing the lack of comprehensive security for generative AI applications.
Further development of AI threat detection and prevention technologies.
Expanding the pilot program to a wider customer base.
Collaborating with other AI and security companies.
Improving the accuracy and speed of AI application traffic validation
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