Slow Lane? There is No Slow Lane in AI
The development speed of AI applications, especially large language models (LLMs) and other types of GenAI models, is advancing in capability, capacity, and size at a pace that is beyond impressive. Consider:- In early December 2022, Emad Mostaque, CEO of Stability AI, explained that the first version of their groundbreaking product Stable Diffusion, released in August of 2022, took 5.6 seconds to generate an image; the next release, just a few weeks later, could generate 30 images per second—in other words, video.
- In late February 2024, Google announced that testers are evaluating a one-million token context window for its Gemini Pro 1.5 model.
- At the same time, Google released the seven-billion parameter Gemma suite of foundation models that was trained on six trillion tokens.
The Imperative of Security in AI Adoption
The National Security Commission on Artificial Intelligence (NSCAI) underscored the urgency for comprehensive AI integration in its 2021 report, highlighting the need for both defensive and offensive capabilities. However, the commercial sector's response to establishing robust security measures has been lackluster. Although the European Union has stepped up with its General Data Protection Regulation (GDPR) and Artificial Intelligence Act (EU AI Act), industry has barely attempted. Without a unified oversight entity or industry-specific guidelines, the onus falls on individual organizations to establish guardrails for AI deployment and use, and that is a heavy lift.A Competitive Edge Through Security
Companies like OpenAI, Google, Anthropic, and others quickly realized the necessity of integrating security measures into their products; they also understood such features were not just safeguards, but had become a competitive advantage. The acknowledgement that trust in AI results and alignment with ethical creation is paramount has been slower to materialize across user organizations. This realization highlighted the need for tailored security solutions, as no single model provider could offer customizable options at scale for diverse organizational needs.AI Security Solutions
In response to these challenges, CalypsoAI developed a SaaS-enabled GenAI security and enablement solution that provides a comprehensive, customizable trust layer for enterprise AI ecosystems, including:- Observability across AI models, which allows full visibility into the reliability, relevance, and usage of each AI model in use in an organization.
- Prevention-oriented security that implements continuous protective measures like authentication protocols and policy-based access controls, ensuring consistent security and traceability.
- Advanced threat detection and blocking, which enables AI and cyber security teams to stay ahead of both known and novel threats via real-time monitoring and response mechanisms to safeguard the organization's people, processes, and intellectual property.