Real-Time Guardrails empowers AI builders to derisk the deployment and running of Generative AI applications at scale by deploying Guardrails to enforce content policy.
Real-Time Guardrails, by Alice, is the end-to-end solution for implementing AI policies. Market-leading Guardrails and Observability capabilities empower AI builders to deploy and run GenAI products with confidence.
Key Benefits
Powered by unmatched Expertise: AI based Guardrails powered by market-leading AI researchers and experts.
Real-Time Detection: Built for instant response without performance trade-offs.
Policy Adaptability: Fully customizable policy design to implement your organization's specific policy needs.
By leveraging the platform, AI builders ensure more reliable and responsible GenAI deployments, reducing misaligned behaviors, minimizing risks, and enabling scalable, trustworthy AI experiences.
Highlights
Adaptive: Customizable Guardrails to your specific Responsible AI policies and risk tolerances, ensuring alignment with your organization's unique safety and security requirements.
Best-in-Class Coverage: Guardrail against a broad spectrum of AI misalignment risks including toxicity, off-topic content, prompt injection, and more all powered by unmatched global expertise.
Enterprise-Grade: Battle tested scalability, proven at scale with leading enterprises, delivering protection at sub-150ms latency to preserve seamless GenAI experiences.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a contract model billed on an annual commitment measured in units. You buy a quantity of units for a one-year term, and pricing depends on the number of units you commit to. There is a single pricing dimension, so you do not choose between tiers or plans here. The unit rate is not published, so you contact the vendor to get pricing for the quantity your deployment needs. The product applies real-time guardrails that review AI prompts and responses to block harmful or off-policy content.
Top-of-mind questions for buyers
What does one billing unit represent for the annual commitment?
The pricing table lists an annual commitment measured in units but does not define what a single unit maps to, such as a protected application, agent, or message volume. Because the unit rate is not published, contact the vendor to confirm how units are counted for your deployment.
Does the guardrail check both incoming prompts and outgoing responses under one commitment?
Yes. The product reviews every prompt coming in and every response going out. Harmful inputs are blocked before reaching your model, and harmful outputs are blocked before reaching users. Both directions are covered within the same annual commitment, with no separate dimension for input versus output.
What does the annual commitment cover in terms of languages and content types?
The runtime guardrails support text, image, audio, and video detection across many languages. Coverage also maps to regulatory frameworks your compliance teams track. These capabilities fall under the single annual commitment, so you do not buy separate dimensions for added languages or media types.
alice.io
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Intended to be a private offer. Any self-service procurement will be refunded automatically
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Request: After purchase on AWS marketplace, fill out the form on the dedicated landing page.
Qualification and Tailoring: After initial qualification, the Alice team will tailor the platform environment to your unique needs, accounting for the verticals, languages, abuse areas, formats, and scale you require.
Access: Once the platform has been set up, we will create an ActiveOS account, and send you an email with a link to setup your login and access the platform.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Rubrik Agent Cloud enables organizations to deliver AI transformation and deploy agents at scale with confidence. As the first agent operations platform for the enterprise, it is built to monitor agent actions, govern agent behavior, and remediate mistakes before they spread.
While AI agents accelerate innovation, they introduce significant risks, such as hallucination and cyber compromise. Rubrik Agent Cloud solves this by monitoring and auditing agentic actions, enforcing real-time guardrails for agentic changes, and undoing agent mistakes. It is the ultimate enterprise control layer for the entire AI agent lifecycle, helping you unleash AI without risk.
AI-SPM, AI Runtime Protection, and AI-GRC. Combines AI security posture management with AI runtime guardrails and AI governance, risk, and compliance.
Delivers continuous AI visibility, inventory, posture assessment, and testing, plus real-time enforcement, compliance audits, evidence collection, and third-party risk management.
Reliable Real-Time Protection with Flexible, Multilingual Policy Controls
Reviewed on May 13, 2026
Review provided by G2
What do you like best about the product?
WonderFence has been a reliable option for real-time protection. It consistently blocks unsafe or off-brand responses without any noticeable latency. The multilingual coverage is especially useful for us since we operate globally. I also appreciate that the system adapts well to our policies, rather than forcing one-size-fits-all rules.
What do you dislike about the product?
The initial setup required coordination across multiple teams, which slowed things down a bit. Some edge-case responses still need to be reviewed manually. Pricing transparency could also be clearer and easier to understand.
What problems is the product solving and how is that benefiting you?
We struggled to maintain consistent chatbot behavior across regions, and this helped us enforce policy compliance in real time. It also reduced incidents where users received incorrect or risky responses, which improved overall customer trust.
Estelle C.
Customizable Guardrails and Centralized Management That Fit Our Workflows
Reviewed on May 08, 2026
Review provided by G2
What do you like best about the product?
The ability to customize guardrails based on our internal policies is extremely helpful. WonderFence adapts to specific business needs instead of forcing one-size-fits-all settings. I also appreciate the centralized view across applications, which makes ongoing management much easier. On top of that, it integrates smoothly with our existing workflows.
What do you dislike about the product?
Setup takes some coordination between the technical and policy teams, which can slow things down at the start. A few features also feel a bit complex for first-time users, so there’s a learning curve. The documentation would be more helpful if it included more real-world examples to show how these features are used in practice.
What problems is the product solving and how is that benefiting you?
We needed consistent enforcement of internal policies across our AI systems so that outputs remain aligned with company standards. It also helps reduce the amount of manual review required, which in turn improves efficiency across teams.
Jason M.
WonderBuild Catches Pre-Launch Vulnerabilities with Clear, Actionable Findings
Reviewed on Apr 23, 2026
Review provided by G2
What do you like best about the product?
WonderBuild does a solid job of identifying vulnerabilities before launch. It surfaces issues that typical QA can miss, and the prioritized findings make it easier for teams to act quickly. It also provides helpful documentation that supports the approval process.
What do you dislike about the product?
At first, the number of findings can feel overwhelming. Some of the issues require additional investigation to fully understand. Overall, it takes a bit of time to get used to the platform and how it presents everything.
What problems is the product solving and how is that benefiting you?
We needed a reliable way to validate our AI systems before release, and this helped us identify and reduce risks early. It also made the internal approval process smoother and more straightforward.
Jaya M.
Centralized Policy Enforcement That Adapts Seamlessly to Our Workflows
Reviewed on Apr 07, 2026
Review provided by G2
What do you like best about the product?
This platform makes it much easier to enforce internal policies across different AI systems. WonderFence also adapts well to our specific requirements, which has been a big plus. The centralized view is helpful for managing multiple applications in one place, and it integrates smoothly with our existing workflows.
What do you dislike about the product?
Getting set up requires coordination across teams, which can slow things down. A few features also take time to fully understand and use confidently. The documentation is helpful, but it could be more practical and easier to apply during day-to-day setup and troubleshooting.
What problems is the product solving and how is that benefiting you?
We needed consistent policy enforcement across different AI tools so outputs stay aligned with our company standards. This also helps reduce the amount of manual review work required and makes the overall process more reliable.
Moris J.
WonderFence: Strong Policy Enforcement and Thorough Audit Logs for Legal Workflows
Reviewed on Mar 29, 2026
Review provided by G2
What do you like best about the product?
WonderFence stands out for how effectively it enforces policies aligned with legal workflows. It flags risky outputs that could jeopardize client confidentiality or lead to misleading research. The audit logs are thorough and genuinely helpful when we review AI behavior internally. I also appreciate how well it adapts to our firm’s specific policies instead of relying on one-size-fits-all rules.
What do you dislike about the product?
There’s some upfront effort involved in mapping the policies correctly, and smaller teams may find the initial setup a bit heavy.
What problems is the product solving and how is that benefiting you?
We needed tighter control over AI-generated legal content, and this helps prevent inaccurate or non-compliant outputs before they ever reach clients. It also makes internal reviews easier by providing clear documentation of what was produced and why. Overall, it reduces risk in client-facing work while keeping our review process more consistent.