AI Video Agents
Where can I find Tavus security/compliance info for procurement, and what should my security team ask about?
10 min read
Most procurement cycles don’t stall on features. They stall when security and compliance questions don’t have clear, concrete answers. If you’re evaluating Tavus for production use—especially in an enterprise environment—your security team will want to know where to find our security documentation, what standards we follow, and which deep-dive questions they should ask before greenlighting AI Humans in your stack.
Quick Answer: You can get Tavus security and compliance information directly from our team during procurement, including detailed docs under NDA. Your security team should focus on data handling, access controls, model behavior, real-time video security, and enterprise readiness (latency, uptime, and incident response).
The Quick Overview
- What It Is: Tavus is a real-time, face-to-face AI Humans platform designed for enterprise-grade deployment, backed by best-in-class performance, reliability, and security practices.
- Who It Is For: Security-conscious teams, enterprise buyers, and developers who need to embed white-labeled AI video agents into products while meeting internal security, risk, and compliance standards.
- Core Problem Solved: Shortens the security-review bottleneck so you can move from “this looks powerful” to “this is approved for production” without hand-wavy answers or ambiguous security posture.
How It Works
When you bring Tavus into a procurement process, you’re not just buying an “AI feature.” You’re introducing a new class of system—real-time, multimodal AI Humans—into your security model. That changes the questions you need to ask.
The typical path looks like this:
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Initial Discovery & Scoping:
Your stakeholders (product, engineering, procurement) align with Tavus on use cases: what data will be processed, which regions you operate in, and where AI Humans will run (web, mobile, internal tools, customer-facing, etc.). -
Security & Compliance Review:
Your security team requests Tavus security documentation (e.g., architecture overviews, access control practices, data retention policies, incident response procedures). Under NDA, Tavus can share deeper technical and policy details tailored to your environment. -
Implementation Design & Approvals:
With security/dependency questions resolved, your team designs the integration—embedding Tavus via API or SDK, enforcing your own auth on top, and aligning with your internal logging, monitoring, and risk controls before moving to pilot or production.
Throughout, the core pipeline stays the same: perception → speech recognition → LLM → TTS → real-time video rendering. The security review is about how this pipeline handles your data and how the platform behaves in live, high-stakes environments.
Features & Benefits Breakdown
| Core Feature | What It Does | Primary Benefit |
|---|---|---|
| Real-time, enterprise-grade infrastructure | Delivers AI Humans with sub-second latency and enterprise uptime guarantees across video, voice, and perception. | Your security team can trust that performance-critical, customer-facing flows won’t break under load or latency spikes. |
| Built-in LLM, speech, and vision capabilities | Ships as an integrated stack (perception, ASR, LLM, TTS, and rendering) tuned for face-to-face interaction. | Fewer external dependencies to vet, fewer unknowns for your security review, and one vendor accountable for the full AI interaction loop. |
| White-labeled, API-first design | Lets you embed Tavus within your app, apply your own auth, and control how and where data flows. | Easier to align with your existing identity, RBAC, and network security patterns—no “shadow” identity system to audit. |
Ideal Use Cases
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Best for enterprise procurement and vendor security reviews:
Because Tavus is already built for “best-in-class enterprise performance and reliability,” it fits organizations that treat uptime, latency, and security as non-negotiable, and need a partner who can speak the language of SOC-style risk assessments. -
Best for security-conscious developers embedding AI Humans:
Because you can integrate Tavus through a single API, keep it white-labeled, and align it to your own auth/logging frameworks, making it easier to pass internal architecture review and security sign-off.
Limitations & Considerations
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Security docs are not all public-by-default:
In-depth security and compliance information (detailed diagrams, internal controls, incident processes) is typically shared under NDA during procurement. Expect a short access step rather than a public “download everything” portal. -
Standards and regions may vary by deployment:
If you have strict data residency, regulatory (e.g., HIPAA, financial), or sector-specific needs, your team should verify how Tavus supports those in your region and whether any special configurations are required.
Pricing & Plans
Tavus has two main entry points, each with different procurement/security profiles:
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Developer Account: Best for builders, founders, and product teams needing to embed real-time, human-like AI experiences via APIs and tools. Ideal when your security team wants to evaluate the platform in a sandbox or pilot before a larger enterprise agreement.
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PALs Account: Best for individuals wanting personal AI companions that listen, remember, and are always present. Typically used for personal or lightweight team exploration rather than formal enterprise procurement.
For full enterprise deployments—especially when you’re deploying AI Humans across your organization—your team will usually start with a Developer Account, then work with Tavus sales and security to structure an agreement (including uptime guarantees, support SLAs, and security commitments) that fits your risk posture.
What Your Security Team Should Ask About Tavus
Think of Tavus as “human computing infrastructure” sitting inside your application. The right questions line up with the unique nature of real-time, multimodal AI, not just generic SaaS.
Use the categories and example questions below as a checklist for your security review.
1. Data Handling & Privacy
Key goal: Understand what data Tavus processes, how it’s stored, and how long it’s retained.
Your team should ask:
- What types of data do Tavus AI Humans process in our use case?
(e.g., video frames, audio streams, text transcripts, prompts, screenshare content) - Which data elements are stored vs. processed transiently in real time?
- How are stored assets (if any) encrypted at rest and in transit?
- Can we configure data retention windows or disable long-term storage for sensitive interactions?
- How is training handled—will our data be used to train or fine-tune Tavus models, and can we opt out?
- Are there separate environments for development vs. production, and how is data segregated between tenants?
2. Identity, Access Control, and Integration
Key goal: Ensure Tavus plugs cleanly into your identity and access control model.
Ask:
- How does our app authenticate to Tavus (API keys, OAuth, service accounts), and how are secrets managed?
- Can we enforce access via our existing identity provider (e.g., SSO/SAML for admin consoles)?
- What RBAC or permissioning exists for Tavus dashboards and configuration tools?
- How does Tavus support multi-tenant embedding if we’re offering AI Humans to multiple end customers?
- What logging and audit trails are available for admin actions, configuration changes, and API usage?
3. Real-Time Video, Audio, and Network Security
Key goal: Validate that real-time WebRTC-style traffic is protected to the same standard as other core systems.
Ask:
- How is video and audio traffic encrypted end-to-end during real-time sessions?
- What protocols and cipher suites does Tavus use for media transport?
- Are there any TURN/STUN servers or media relays we need to explicitly allowlist, and how are those secured?
- Can we restrict access by region, IP range, or network topology as part of our zero-trust approach?
- How does Tavus mitigate man-in-the-middle, replay, or session hijacking risk in live calls?
4. Perception, LLM Behavior, and Safety Controls
Tavus isn’t just moving packets; it’s interpreting faces, voices, and what’s on-screen, then responding as an AI Human. That creates new safety and policy surfaces.
Ask:
- What guardrails exist on the LLM layer to prevent harmful or policy-violating responses?
- Can we provide our own policies, safety instructions, or model configuration to align with our use cases?
- How does Tavus handle user-generated content in video (e.g., sensitive images, documents visible via screenshare)?
- What protections exist against prompt injection or jailbreak attempts in conversation?
- How do you test and validate model behavior for fairness, bias, and safety in face-to-face interactions?
5. Performance, Reliability, and Incident Response
Performance is not just UX; it’s part of your risk profile. If an AI Human is front-line for customers or employees, timeouts and outages are a security concern.
Ask:
- What are your documented latency targets for real-time interactions, and how do you maintain sub-second performance?
- What enterprise uptime guarantees do you offer, and what’s your historical uptime record?
- How is monitoring and alerting set up for your real-time perception → ASR → LLM → TTS → rendering pipeline?
- What is your incident response process and notification timeline in the event of a security event or major outage?
- Do you support redundancy across regions or data centers for high-availability deployments?
6. Compliance and Enterprise Readiness
While not all compliance artifacts are public, your security and procurement teams can request them directly.
Ask:
- Which security frameworks or standards do you align with (e.g., SOC-style controls, ISO-style practices)?
- What third-party audits, penetration tests, or assessments have been completed, and how often?
- Can you provide security whitepapers, architecture diagrams, or policies under NDA for our internal review?
- How do you handle vendor management for your own dependencies (cloud providers, infra components, speech/LLM engines where applicable)?
- What support and escalation paths are available for enterprise customers (e.g., priority support, dedicated contacts)?
7. Customization, Governance, and Change Management
AI Humans are not static. As you customize them, your governance needs to keep pace.
Ask:
- How do we manage different AI Human configurations (personas, prompts, policies) across environments?
- Is there versioning for key settings so we can roll back if a configuration change impacts behavior?
- How are breaking changes, major upgrades, or new model versions communicated to enterprise customers?
- Can we test new capabilities in a non-production environment before enabling them for end users?
Frequently Asked Questions
Where do I actually request Tavus security and compliance documentation?
Short Answer: Through Tavus sales or support as part of your procurement or enterprise onboarding process, typically under NDA.
Details:
When your organization enters a procurement or evaluation process, your account team at Tavus will coordinate with your security and procurement stakeholders. They’ll provide security-focused materials—such as architectural overviews, description of controls, and performance/reliability details—appropriate to your stage and use case. For deeper information, your company will usually sign an NDA, after which your security team can review more detailed documentation and, if needed, schedule a live security review call with Tavus engineers.
How should we structure our internal security review for Tavus?
Short Answer: Treat Tavus as core, real-time AI infrastructure and review it across six domains: data handling, access control, network/media security, model safety, reliability, and compliance.
Details:
Start by scoping the use case: who will interact with AI Humans, what data they’ll see, and where they live in your product. Then map that onto the checklist above:
- Data: What Tavus sees, stores, and for how long.
- Access: How your identities and permissions flow into Tavus.
- Network: How live video/audio are encrypted and transported.
- Safety: How LLM behavior and perception are governed.
- Reliability: How performance, uptime, and incidents are handled.
- Compliance: How Tavus aligns with your internal security framework and documentation requirements.
From there, your security team can align Tavus with your existing control library, document residual risk, and sign off on a pilot or full deployment with confidence.
Summary
Bringing Tavus into your organization isn’t just adding another SaaS tool. You’re adding a new interaction layer—real-time AI Humans that see, hear, and respond at the speed of human conversation. That demands a precise, well-documented security posture.
During procurement, you can request Tavus security and compliance information directly from the team, including deeper technical details under NDA. Your security review should zoom in on how Tavus handles multimodal data, how it connects to your identity and network, how it governs model behavior, and how it backs everything with enterprise performance, sub-second latency, and uptime guarantees.
When those questions are answered clearly, your team can move from curiosity to deployment—bringing human computing into your product without compromising your standards.