Approximately a week ago, DeepSeek, introduced DeepSeek-R1, an impressive model that achieves benchmark performance comparable to OpenAI’s o1.
DeepSeek R1 has rapidly gained popularity among developers due to several compelling factors, notably, it was released with open weights under the permissive MIT license. And its cost is significantly lesser when compared to OpenAIs o1 model usage as you can see below.
| Model | 1M input tokens | 1M output tokens |
|---|---|---|
| Deep Seek R1 [deepseek – reasoner] (pricing link) | $0.55 | $2.19 |
| Open AI o1 (pricing link) | $15.00 | $60.00 |
All this has generated great interest in evaluating the model. However, deploying and using them without robust security measures can expose organizations to serious risks. Unrestricted access to LLMs can lead to data leaks, compliance violations, and prompt injection attacks.
Aether AI Guardrails – Enforce Responsible AI Usage
Security research has already demonstrated that DeepSeek is susceptible to various jailbreaking techniques—from simple linguistic manipulations to advanced AI-generated prompts (source).
With Aether’s AI Gateway, enterprises can securely access these models while enforcing real-time Guardrails to prevent misuse. Our AI Guardrails continuously vet both user inputs and model outputs, automatically detecting and mitigating prompt injections, harmful content, and compliance risks.
Aether Model Access – Fine-Grained Control Over AI Deployment
Not every team or user should have unrestricted access to powerful LLMs. Aether enables platform administrators to define and enforce model access policies—ensuring that only authorized AI teams and users can utilize specific models. Aether’s AI Gateway is configured with the project team and their model access inputs to ensure only authorized users can invoke the model.
Aether Proactively Detecting and Mitigating Hallucinations
While DeepSeek’s advancements in model training efficiency are commendable, they do not address one of the most persistent challenges in AI—hallucinations. Like many LLMs, DeepSeek’s chatbot can generate fabricated or misleading responses, a critical risk for enterprises relying on AI for decision-making, compliance, and user interactions. (source)
Aether goes beyond passive monitoring by actively detecting and mitigating hallucinations in real time. Using context validation, fact-checking mechanisms, and adaptive reinforcement techniques, Aether ensures that AI-generated responses align with verifiable sources and enterprise-defined truth boundaries. This prevents misinformation, enhances trust, and ensures AI outputs remain reliable—a necessity for organizations deploying LLMs in mission-critical environments.
We believe in accelerating innovation while maintaining security and governance. With Aether, you can confidently leverage the latest AI advancements—without compromising on safety, compliance, or control.
To know more about Aether please visit here
This blog is authored by VijayRam Harinathan