Back in September of 2022 (before OpenAI opened the door and out strolled ChatGPT), Twitter’s now soon-to-be-former-CEO Elon Musk was quoted about the progression of artificial intelligence. (This was also before he and top AI researchers signed an open letter about AI labs collectively pausing their research.)
Last year, Musk said:
“I’m increasingly inclined to think that there should be some regulatory oversight… just to make sure that we don’t do something very foolish.”
Here, Musk’s point about AI is, by no means, nonsensical. (Especially since mainstream debuts of GPTs and both generative and conversational AI; the boom since late last year has shaken entire industries.)
So, oversight. Some form of meritorious risk prevention.
Guardrails, in a sense.
Enter Credo AI.
Credo AI’s software and governance platform help AI-powered enterprises adopt such new technologies with confidence (despite AI market oversaturation), but also safely and responsibly. When teams can manage risks across entire machine learning (ML) and generative AI lifecycles, ensuring compliances to emerging regulations becomes easier to understand and execute.
The long-story-short of it? Credo AI empowers the adoption of advanced AI, fueled by the credo (pun intended) of maximizing full potential while minimizing possible risks. And in an age when keeping pace with AI innovations and mounting criticisms feels overwhelming to many, Credo AI balances value-driven requirements throughout AI systems while maximizing ROI on auditable AI outcomes.
Credo AI recently announced the general availability of GenAI Guardrails, Credo AI’s explainability-centric set of governance capabilities are designed to help organizations identify and risks associated with applications of generative AI.
GenAI Guardrails – brought to life by Credo AI’s policy intelligence engine – provides teams with an intuitive control center to ensure (as mentioned) safe and responsible use of AIs we’ve seen so far, as well as guidance for may lie ahead.
The customer and industry research that Credo AI has conducted shows that, despite the global urgency to forge ahead and integrate AI left and right, that same urgency will rarely translate to successful adoption rates without sufficient controls and smart enablement. Concerns over security, privacy, and intellectual properties, according to Credo AI, should neither be left by the wayside nor hastily stuffed into “Wait, Review and Test” approaches that could leave data vulnerable.
With the proper control layers, Credo AI’s GenAI Guardrails will empower enterprises to:
- Adopt policies to mitigate top-of-mind AI risks – GenAI Guardrails offers out-of-the-box policy intelligence to define controls that mitigate the most critical risks of employee use of generative AI tools. (i.e. data leakage, toxic or harmful content, code security vulnerabilities, and IP infringement)
- Prioritize and analyze AI use cases to assess risks and revenue prospects – GenAI Guardrails help define new high-ROI use cases across industries (and for both SMEs and global corporations alike) to maximize AI projects’ ROI while, in that same breath, safeguarding processes.
- Set up a GenAI Sandbox for safe experimentation and discovery – With GenAI Guardrails, better-equipped organizations can partake in sandbox-like activities that cover virtually any large language model (LLM), providing an environment for safer AI experimentations.
- Futureproof their organization from evolving AI risk factors – As generative AI use cases make waves internally (and soon thereafter, new regulations become introduced externally), GenAI Guardrails’ usage and risk dashboards keep today’s AI-inclined workforces apprised of whats new, where and how red flags crop up, and what can be done protections-wise to prevent operational derailments.
“In 2023, every company is becoming an artificial intelligence company,” said Navrina Singh, CEO and founder of Credo AI. “Generative AI is akin to a massive wave that is in the process of crashing—it’s unavoidable and incredibly powerful. Every single business leader I’ve spoken with this year feels urgency to figure out how they can ride the wave, and not get crushed underneath it.”
“At Credo AI,” Singh continued, “we believe the enterprises that maintain a competitive advantage — winning in both the short and long term — will do so by adopting AI with speed and safety in equal measure, not speed alone. We’re grateful for the significant role we can play in helping enterprise organizations adopt and scale ML and generative AI projects responsibly.”
Edited by
Greg Tavarez
