How do I schedule a HoneyHive enterprise demo and start a security review (SOC 2 Type II, GDPR, HIPAA/BAA)?

Most enterprise teams follow a similar path: see HoneyHive in action with your own stack, then run a structured security and compliance review covering SOC 2 Type II, GDPR, and HIPAA/BAA. You can do both in parallel by booking an enterprise demo and requesting security documentation from the same touchpoint.

Quick Answer: Use HoneyHive’s enterprise demo calendar to schedule a call, then request security and compliance materials (SOC 2 Type II report, GDPR posture, HIPAA/BAA details) during that session or via the same contact thread so your InfoSec and procurement teams can start their review immediately.

Frequently Asked Questions

How do I schedule a HoneyHive enterprise demo?

Short Answer: Use the enterprise demo Calendly link to pick a time that works for your team: Get Started.

Expanded Explanation:
To schedule a HoneyHive enterprise demo, you can directly book a 30-minute call with the team through the Calendly link. This session is designed for technical buyers and stakeholders who need to understand AI observability, evaluation, and governance in a production context. The team typically walks through Traces, Monitors, Alerts, Experiments, Evaluators, the Playground, and Annotations, and then tailors the conversation to your specific stack (agent framework, models, RAG, tools).

If you’re evaluating HoneyHive for a mission-critical deployment, it’s useful to bring engineering, MLOps, and security stakeholders into this first conversation so you can align requirements early and kick off security review in the same thread.

Key Takeaways:

• Use the Calendly link to instantly lock in a 30-minute enterprise demo slot.
• Include both technical and security stakeholders so you can move from demo to evaluation and security review without delays.

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What is the process to start a security review (SOC 2 Type II, GDPR, HIPAA/BAA)?

Short Answer: After booking a demo, ask your HoneyHive contact to share security documentation and a standard questionnaire path so your InfoSec team can review SOC 2 Type II, GDPR, and HIPAA/BAA posture.

Expanded Explanation:
Once you’ve scheduled an enterprise demo, you can start the security review in parallel. HoneyHive is SOC 2 Type II, GDPR, and HIPAA compliant, encrypts data in transit and at rest, and offers flexible deployment options (including self-hosting) that matter for regulated environments. During or immediately after the demo, your HoneyHive point of contact can provide the necessary security artifacts, including the SOC 2 Type II report, data handling details, and standard responses for common InfoSec questionnaires.

Most enterprise buyers involve InfoSec early so they can validate HoneyHive’s compliance posture, understand data flows (e.g., production traces, evaluation datasets, annotation queues), and decide on the right deployment model: multi-tenant SaaS, single-tenant, hybrid, or self-hosted. This keeps procurement and legal timelines aligned with your technical evaluation.

Steps:

1. Book an enterprise demo at Get Started and note that you’d like to initiate a security review.
2. On the call, introduce your security/IT lead and request SOC 2 Type II, GDPR, and HIPAA/BAA documentation and data flow details.
3. Share your organization’s security questionnaire or DPA/BAA requirements so HoneyHive can respond within your evaluation window.

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How does HoneyHive’s compliance posture compare to other AI observability platforms?

Short Answer: HoneyHive combines SOC 2 Type II, GDPR, and HIPAA compliance with flexible hosting (including self-hosting) and fine-grained RBAC, which is more aligned with mission-critical and regulated AI workloads than many generic AI tooling offerings.

Expanded Explanation:
Many AI observability or “LLMOps” tools focus on dashboards and experiment tracking but don’t provide the compliance depth or deployment flexibility enterprise teams need for production agents. HoneyHive was built for mission-critical systems in financial services, healthcare, and other regulated industries. It is SOC 2 Type II, GDPR, and HIPAA compliant, encrypts data at rest and in transit, and supports deployment options from multi-tenant SaaS to full self-hosting on your own cloud via Kubernetes.

On top of that, HoneyHive offers fine-grained RBAC, SSO/SAML, workspace and project isolation, PII scrubbing options, and audit trails across evaluations and annotation workflows. This combination—OpenTelemetry-native observability plus enterprise controls—differentiates HoneyHive from tools that only offer SaaS dashboards with limited control over data residency and access.

Comparison Snapshot:

• Option A: HoneyHive
  SOC 2 Type II, GDPR, HIPAA; multi-tenant/single-tenant/hybrid/self-hosted; SSO/SAML; RBAC; PII scrubbing; OpenTelemetry-native traces across any agent stack.
• Option B: Typical AI experiment/LLM tools
  May offer basic security and single SaaS deployment; often lack full self-hosting, HIPAA posture, or OpenTelemetry-native tracing across distributed agents.
• Best for:
  Teams running production AI agents in regulated or high-stakes environments who need both deep observability/evaluation and a strong, reviewable security posture.

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What does implementation look like for an enterprise proof-of-concept?

Short Answer: You typically go from enterprise demo to a focused proof-of-concept where you integrate HoneyHive via the OpenTelemetry-native SDKs or OTLP ingestion, run online and offline evaluations on real traffic, and validate governance and compliance requirements.

Expanded Explanation:
After your demo and initial security review, most teams run a proof-of-concept (POC) on one or two agentic workflows. Implementation starts with integrating HoneyHive into your existing stack. You can send traces via HoneyHive’s Python or Typescript SDKs, or through OTLP/OTel collectors if you already standardize on OpenTelemetry. From there, you enable Traces to see every span across prompts, tools, and RAG calls; configure Evaluators for automated and LLM-as-a-judge checks; and queue human Annotations to align with your internal quality standards.

During the POC, you also validate access controls (RBAC, SSO/SAML), data handling (encryption, retention, PII scrubbing), and deployment options (SaaS, single-tenant, hybrid, or self-hosted). This gives engineering and security a shared view of how HoneyHive behaves with your real production or pre-production traffic.

What You Need:

• A target agent workflow (or two) to instrument with HoneyHive (e.g., support copilot, RAG assistant, or internal AI agent).
• Access for your engineering, MLOps, and security teams to a HoneyHive workspace configured with the right RBAC and deployment model.

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How does HoneyHive support long-term governance, audits, and compliance workflows?

Short Answer: HoneyHive provides an audit-ready trail across traces, evaluations, human reviews, and automations, helping you govern AI agents over time and respond to internal and external audits.

Expanded Explanation:
Beyond the initial security review, governance is about how you prove ongoing control and oversight over AI agents in production. HoneyHive’s OpenTelemetry-native Traces give you a complete execution history for each session—prompts, model calls, tools, and RAG steps. Evaluators (automated and LLM-as-a-judge) plus human Annotations let you measure safety, quality, and policy adherence, while audit trails record who reviewed what, when, and how they scored it.

Monitors and Alerts let you watch for quality drift, unsafe outputs, or tool misuse, and trigger automations such as routing traces to annotation queues or converting failing cases into datasets for regression testing. This is the core of AI governance: you can demonstrate that you observe, measure, and continuously improve your agents, with controls aligned to SOC 2 Type II, GDPR, and HIPAA obligations and your own internal policies.

Why It Matters:

• You can answer audit and risk questions with concrete artifacts: traces, evaluations, annotation logs, and CI/CD checks.
• You reduce the risk of silent failures, PII leakage, and policy violations by monitoring quality alongside latency and cost, and enforcing controls across your AI estate.

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Quick Recap

To schedule a HoneyHive enterprise demo and start a security review, book a 30-minute session via the enterprise Calendly link, invite your technical and security stakeholders, and request SOC 2 Type II, GDPR, and HIPAA/BAA documentation as part of that process. From there, you can run a focused POC, integrate via OpenTelemetry-native SDKs or OTLP, validate RBAC and deployment options (including self-hosting), and use HoneyHive’s observability and evaluation workflows to support long-term governance and compliance for your AI agents in production.

Next Step

Get Started