TL;DR
Alice’s real-time AI safety solution is now available on AWS Marketplace, enabling teams to deploy production guardrails quickly and maintain policy-driven protection as AI systems scale.
We’re pleased to announce that WonderFence Guardrails has earned the Deployed on AWS badge from Amazon Web Services and is now available for purchase on AWS Marketplace. This designation confirms that ActiveFence Guardrails can operate entirely on the Amazon Web Services infrastructure. For enterprise buyers, this makes it easier to deploy ActiveFence Guardrails quickly, use it within existing cloud environments, and count the spend toward AWS Enterprise Discount Program commitments.
Why Does the “Deployed on AWS” Badge Matter?
The Deployed on AWS badge signals that ActiveFence Guardrails meets high standards for cloud-native architecture, security, and operational readiness. It also allows customers to adopt AI safety and security solutions directly within their own AWS Virtual Private Cloud with greater confidence.
What Makes Real-Time Guardrails Different?
Alice (formerly ActiveFence) Guardrails provides real-time AI safety and security across AI systems. It detects and mitigates threats such as prompt injection, data leakage, jailbreaks; as well as toxicity, abuse, child sexual abuse material, and hate speech in user and system generated content. Unlike fragmented tools that address one risk at a time, Alice (formerly ActiveFence) Guardrails offers comprehensive protection through a single engine, with custom guardrail policies fine-tuned over time to offer protection for unique brands across industries. Enterprises adopting generative AI need visibility and control at the moment of interaction. When a violation is detected, enterprises can automatically block, rewrite, or route the response without modifying any application code. This no-code actionability is especially valuable for teams seeking to enforce safety and security without slowing down development cycles. ActiveFence Guardrails delivers live dashboards and policy management tools that let teams monitor, tune, and take further action in real time. ActiveFence Guardrails takes action on text, image, audio, and video content through a unified API. It also offers multilingual support with coverage in more than twenty languages, taking into account cultural nuance and context. The system is optimized for ultra-low latency, evaluating inputs and outputs in under 100 milliseconds to keep conversational and streaming experiences snappy. Availability through AWS Marketplace also addresses procurement and governance challenges as teams can manage spend through existing AWS agreements. Security and data residency are fully respected because ActiveFence Guardrails operates inside the customer’s AWS environment. Alice (formerly ActiveFence) Guardrails aligns with AWS's most recent SaaS architecture requirements, ensuring long-term compatibility and cloud security best practices. ActiveFence is committed to making AI safer and more accountable. With ActiveFence Guardrails now deployed on AWS, we are making it easier for enterprises to build trust into their AI systems from day one. Visit the product page on AWS Marketplace or reach out to talk to an expert.
Ask about implementation in your AWS environment.
Book a DemoWhat’s New from Alice
Curiouser Soundbites: The AI Risk Debt Your Enterprise Is Already Carrying
Chances are your enterprise AI is moving a lot faster than your visibility into it and Alison Cossette has a lot to say about that. She joined Mo on Curiouser & Curiouser to get into the risk debt that's quietly building inside agentic systems, why observability and traceability aren't optional anymore, and what leaders actually need to do about it.
The Problem With AI Observability Nobody Wants To Admit
Most enterprises have guardrails. Far fewer have visibility into what their AI is actually doing. Alison Cossette, Founder and CEO of ClariTrace, joins Mo to talk about the risk debt quietly building inside agentic systems, why observability and traceability aren't optional anymore, and what leaders need to put in place before something forces their hand.
Distilling LLMs into Efficient Transformers for Real-World AI
This technical webinar explores how we distilled the world knowledge of a large language model into a compact, high-performing transformer—balancing safety, latency, and scale. Learn how we combine LLM-based annotations and weight distillation to power real-world AI safety.
Beneath the Surface: The Growing Ecosystem of AI Nudification
Alice analyzed 100 AI nudification websites to uncover how synthetic NCII ecosystems scale through frictionless onboarding, affiliate monetization, and cross-platform distribution.