- Deep Observability: Gain insight into every AI model in use across your organization to understand their reliability, relevance, and usage patterns.
- Proactive Prevention: Protective awareness measures include robust authentication and access protocols and continuous reviews of patches, logs, and audits to ensure a secure AI environment.
- Real-Time Threat Detection: Security teams can stay ahead of threats with advanced scanners that monitor and act on outgoing prompts and incoming responses, safeguarding sensitive information and preventing malicious content from compromising digital systems.
- Bespoke Scanners: Detailed, organization- and task-specific guardrails tailored to the unique requirements of each enterprise.
- Empowering Rapid Response: With an educated workforce and in-house rapid-response teams equipped with comprehensive response plans, your organization can swiftly identify, address, and mitigate AI/ML security risks.
Blog
20 Jun 2024
Navigating Security Challenges in the AI-Driven Workplace
Navigating Security Challenges in the AI-Driven Workplace
Navigating Security Challenges in the AI-Driven Workplace
We’ve all had the experience of being lured by a travel website promising us a tropical paradise with a long vista of idyllic and empty sand, sea, and sky; we know it’s mostly hype, but it’s what we want to believe. And then we click on the reviews and see the tourist’s photo of unretouched reality showing a small beach crowded with cabanas, kiosks, and chaos. That’s pretty much the state of the digital transformation landscape: The lofty promise of innovation and efficiency is fraught with potential risks that many would prefer not to acknowledge, but cannot ignore.
Creators and users of GenAI and other models embody a full spectrum of intentions—from altruistic to utilitarian, and unfortunately, to criminal. This diversity in creation and application leads to varied outcomes, which makes it imperative for all involved to understand the potential effects of AI technologies. Every layer of the AI ecosystem, including hardware, software, data, and even data in transit, is a potential vulnerability point.
In its final report, released in 2021, the National Security Commission on Artificial Intelligence (NSCAI) emphasized the integration of AI for defense and offense; unfortunately, the commercial sector's response in establishing security norms has been inconsistent. The absence of a unified external commission or voluntary oversight entity leaves organizations to individually navigate the AI security landscape, which has resulted in scattershot guardrails and fractured, rather than cohesive, solutions, such as provider restrictions, vendor lock-in, and digital sprawl.
To address these multifaceted security challenges, CalypsoAI has created a comprehensive security and orchestration platform tailored to the unique needs of AI-driven organizations. Our model-agnostic, API-powered, SaaS-driven solution provides:
