Guide 22 mins

Deploying Claude in United Kingdom: Data Residency, Compliance, and Latency

Complete guide to running Claude in the UK: AWS Bedrock, direct API, data residency controls, GDPR compliance, and real latency profiles for production workloads.

The PADISO Team ·2026-06-09

Deploying Claude in United Kingdom: Data Residency, Compliance, and Latency

Why UK Deployment Matters
Data Residency: The Foundation
AWS Bedrock vs. Direct Claude API
GDPR and UK Data Protection Compliance
Network Architecture and Latency
Compliance Frameworks and Audit Readiness
Implementation Patterns for UK Workloads
Monitoring and Observability
Common Pitfalls and How to Avoid Them
Next Steps and Resources

Why UK Deployment Matters

If you’re building AI products or automating operations in the United Kingdom, where your data lives and how it moves across borders isn’t optional—it’s regulatory. The Financial Conduct Authority (FCA), the Information Commissioner’s Office (ICO), and the NHS all expect you to demonstrate control over data residency. For founders and operators building at scale, this means understanding exactly where Claude inference happens, whether your prompts and responses stay within UK borders, and what happens if they don’t.

PADISO works with UK-based startups, enterprises, and public-sector teams running AI workloads that touch sensitive data—financial records, health information, government services. We’ve learned that deploying Claude correctly in the UK isn’t just about choosing a region; it’s about understanding the trade-offs between latency, cost, compliance posture, and operational complexity.

This guide covers the practical mechanics: how to run Claude from the UK using AWS Bedrock and direct API, what data residency controls actually do, how GDPR and UK data protection law shape your architecture, and what latency you’ll actually see in production.

Data Residency: The Foundation

What Data Residency Actually Means

Data residency is the geographic location where your data is stored and processed. For Claude deployments, this means:

Inference geo: Where the Claude model runs when you send a prompt.
Workspace geo: Where your API keys, billing data, and metadata live.
Prompt and response storage: Whether your inputs and outputs are logged, cached, or retained by Anthropic.

The UK Information Commissioner’s Office (ICO) publishes guidance on international transfers and data sharing, which makes clear that transferring personal data outside the UK requires either an adequacy decision (rare) or a lawful transfer mechanism. If you’re processing UK resident data—customer records, employee information, health data—you need to know exactly where inference happens.

Anthropichas published data residency controls in Europe, which sets a precedent for how residency works in regulated regions. The mechanism is straightforward: you control where your workloads run via API parameters and workspace settings.

Checking Your Current Residency Setup

When you call Claude via the direct API or AWS Bedrock, the default behaviour sends your requests to Anthropic’s US-based infrastructure. This is fine for many use cases, but if you’re handling UK personal data, you need explicit residency controls.

According to Claude API documentation on data residency, you can specify your inference geo at the workspace level. This means:

Create or configure a workspace in the Anthropic console.
Set the inference region to Europe (EU).
All subsequent API calls from that workspace run in EU infrastructure.
Prompts and responses do not leave the EU during inference.

For UK deployments, this is the critical step. Setting inference geo to EU ensures your data doesn’t transit through US servers during processing. However, you must verify this with your Anthropic account manager, as residency controls are not available on all plan tiers.

Workspace Geo vs. Inference Geo

Workspace geo (where your API keys and billing live) is separate from inference geo (where Claude runs). You can have a workspace geo in the US with inference geo in the EU. This matters for compliance:

Inference geo in EU: Your prompts and responses stay in Europe during model processing.
Workspace geo: Your API keys, usage logs, and account metadata may live in the US.

For UK deployments handling sensitive data, clarify with Anthropic which metadata is retained where. If you’re processing health data or financial records, you may need both inference and workspace geo in Europe.

AWS Bedrock vs. Direct Claude API

AWS Bedrock: Regional Isolation and Compliance

AWS Bedrock is Amazon’s managed service for accessing foundation models, including Claude. For UK deployments, Bedrock offers a critical advantage: regional isolation.

When you call Claude through Bedrock in the eu-west-2 (London) region, your requests stay within AWS’s UK infrastructure. Bedrock does not send your prompts to Anthropic’s US servers; instead, it routes them through AWS’s regional endpoints. This has compliance implications:

Data residency: Your prompts and responses stay in the UK during inference.
Audit trail: AWS CloudTrail logs all API calls in your account, giving you a compliance audit trail.
Encryption: Data in transit and at rest is encrypted using AWS KMS, which you control.
VPC integration: You can run Bedrock calls from private subnets, keeping traffic off the public internet.

For operators at mid-market and enterprise companies modernising with agentic AI, Bedrock is often the safer choice because it integrates with existing AWS compliance frameworks. If you’re already pursuing SOC 2 compliance or ISO 27001 audit readiness via Vanta, Bedrock calls are easier to document and control.

Direct Claude API: Simplicity and Cost

Calling Claude directly via the Anthropic API is simpler operationally but requires more careful residency management. You:

Authenticate with an API key.
Send prompts to https://api.anthropic.com.
Receive responses.

The trade-off: you’re relying on Anthropic’s data residency controls (inference geo) rather than AWS’s regional isolation. This works if Anthropic has confirmed EU residency for your workspace, but it gives you less visibility into where your data goes.

Cost comparison: Direct API calls are typically cheaper per token than Bedrock (Bedrock adds AWS’s markup), but if you’re already paying for AWS, Bedrock may be cost-neutral when you factor in engineering time to set up residency controls and audit logging.

When to Use Each

Scenario	Bedrock	Direct API
UK health data (NHS)	Preferred	Risky without explicit residency
Financial services (FCA-regulated)	Preferred	Acceptable with workspace geo EU
Startup MVP, non-sensitive data	Either	Simpler, cheaper
Existing AWS infrastructure	Preferred	Adds complexity
Cost-sensitive, simple compliance	Direct	Acceptable with controls
Multi-region deployment	Either	Harder to manage

Legal Basis for Data Transfer

The UK left the EU, but UK GDPR is still law. The UK government publishes guidance on international transfers, which sets out the lawful mechanisms for moving personal data outside the UK.

If you’re processing UK resident data and sending it to Claude (whether via Bedrock or direct API), you need a legal basis for that transfer. The options are:

Adequacy decision: The UK has adequacy decisions for some countries (EU, Canada, etc.), but not the US as a whole. There are sector-specific mechanisms (like the EU-US Data Privacy Framework), but these don’t cover all US processing.
Standard contractual clauses (SCCs): Anthropic and AWS both offer SCCs, which are contractual terms that impose data protection obligations on the US processor. These are widely accepted by UK regulators, but they’ve been challenged in court.
Binding corporate rules: If you own both the UK entity and the US processor, you can use binding corporate rules. This is rare for third-party API services.
Explicit consent: You can ask users to consent to US processing. This is legally valid but operationally cumbersome and not suitable for B2B data.

For most UK deployments, SCCs + EU residency is the pragmatic path:

Request Anthropic’s Data Processing Agreement (DPA) and confirm SCCs are in place.
Set inference geo to EU (if available on your plan).
Document the transfer mechanism in your Data Protection Impact Assessment (DPIA).
Confirm with your Data Protection Officer (DPO) or legal counsel that the mechanism is defensible.

Data Subject Rights and Transparency

GDPR gives individuals the right to know what personal data you hold and how you use it. If you’re sending customer data to Claude, you must disclose this in your privacy notice. Specifically:

Who processes it: Anthropic (and AWS, if using Bedrock).
Why: To generate AI responses, improve the model, etc.
Where: EU or US, depending on your residency setup.
How long: Anthropic retains prompts and responses for abuse detection (typically 30 days), then deletes them. Confirm this with Anthropic’s privacy policy.

For healthcare providers and public-sector teams, this disclosure is even more critical. The NHS publishes guidance on GDPR and NHS data, which emphasises that health data requires explicit consent and documented processing agreements.

Data Processing Agreements (DPAs)

If you’re a data controller (you decide what data to process and why) and Claude is a data processor (you tell Claude what to do with data), you need a written DPA with Anthropic. This agreement specifies:

What data Anthropic can access.
How long Anthropic retains it.
What security measures Anthropic uses.
Your right to audit Anthropic’s controls.
Anthropic’s obligation to delete data on request.

Ask Anthropic for their DPA template. If you’re using Bedrock, AWS provides a DPA as part of the AWS Business Associate Agreement (BAA) for healthcare or the AWS Data Processing Addendum for general use.

Network Architecture and Latency

Observed Latency Profiles

Latency is the time between sending a prompt and receiving a response. For Claude deployments in the UK, latency depends on:

Network path: UK to inference server (EU or US).
Model size: Larger models (Claude 3 Opus) have longer inference times than smaller models (Claude 3 Haiku).
Prompt length: Longer prompts take longer to process.
Token generation: How many tokens Claude generates in the response.

From our experience running Claude workloads for UK-based clients:

UK to EU (Bedrock London or Claude EU residency): 200–400ms end-to-end latency for typical prompts (500–1000 input tokens, 200–500 output tokens).
UK to US (default Claude API): 400–800ms end-to-end latency (transatlantic latency adds 150–300ms).
Batch processing (Bedrock Batch API): 2–6 hours for large batches, but much cheaper per token.

For real-time applications (chatbots, live customer support), aim for EU residency to keep latency under 500ms. For batch jobs (report generation, data enrichment), US-based inference is acceptable if cost is the priority.

Network Path Optimisation

To minimise latency:

Use AWS Bedrock in eu-west-2 (London) if you’re already on AWS. Bedrock’s regional routing is optimised for UK-to-EU traffic.
Run your application in the same AWS region as Bedrock. Cross-region calls add 10–50ms.
Use connection pooling to reuse HTTP connections. Each new connection adds 50–150ms.
Batch requests where possible. Sending 10 requests in parallel is faster than 10 sequential requests.
Cache prompts if you’re repeating similar queries. Claude supports prompt caching, which can reduce latency by 90% on cached portions.

Latency for Agentic AI Workflows

If you’re building agentic AI systems (where Claude makes decisions, calls tools, and loops), latency compounds. A typical agentic loop might be:

Send initial prompt (200ms).
Claude decides to call a tool (200ms).
Your app calls the tool (100–500ms, depending on the tool).
Send tool result back to Claude (200ms).
Claude generates final response (200ms).

Total: 900ms–1.3 seconds per loop. If your agent loops 5 times, you’re looking at 4.5–6.5 seconds. This is acceptable for most applications but matters if you’re building real-time systems. For agentic AI and AI orchestration, we recommend testing latency profiles early and budgeting for multi-second response times.

Compliance Frameworks and Audit Readiness

SOC 2 Type II and Claude Deployments

SOC 2 Type II is a security audit standard that evaluates whether a company’s systems are secure, available, and confidential. If you’re using Claude in a SOC 2-audited environment (e.g., a SaaS product), your auditor will ask:

Is Claude a sub-processor? Yes. You must disclose this in your sub-processor list.
Does Anthropic have SOC 2 certification? Anthropic’s security posture is documented in their trust centre, but they may not publish a full SOC 2 report. Confirm with your auditor whether Anthropic’s controls are sufficient.
Do you have a DPA with Anthropic? Yes, required.
How do you ensure data residency? Document your residency controls (EU inference geo or Bedrock regional routing).

For UK operators pursuing SOC 2 compliance, PADISO’s Security Audit service helps you document Claude as a sub-processor and map Anthropic’s controls to SOC 2 trust service criteria. We use Vanta to automate this documentation, so you can pass your audit in weeks, not months.

ISO 27001 and Information Security

ISO 27001 is an information security management system (ISMS) standard. It requires you to:

Identify information assets: Claude API keys, prompts, responses, model outputs.
Classify data: What data is sensitive? Who can access it?
Control access: Who can call Claude? From where? With what permissions?
Monitor and log: What happens when Claude is called? Can you audit it?
Manage third-party risk: What controls does Anthropic have? How do you verify them?

When deploying Claude in an ISO 27001 context, document:

Asset inventory: Claude API keys, Bedrock roles, inference endpoints.
Access controls: IAM policies, API key rotation, role-based access.
Encryption: TLS for data in transit, KMS for data at rest (if using Bedrock).
Audit logging: CloudTrail for Bedrock, Anthropic usage logs for direct API.
Incident response: What happens if an API key is compromised? How do you revoke it?

The ISO/IEC 27001 standard is maintained by the International Organization for Standardization and is widely used to evaluate cloud vendor controls. If you’re evaluating Anthropic or AWS as a vendor, ISO 27001 certification is a good signal of their security maturity.

FCA and Financial Services Compliance

If you’re building AI products for financial services (banking, wealth management, lending), the Financial Conduct Authority (FCA) expects you to manage model risk. The FCA’s Handbook doesn’t explicitly regulate third-party AI models, but it does require you to:

Understand the model: What is Claude? What are its limitations? What can it get wrong?
Test the model: Does Claude produce accurate outputs for your use case? Have you tested it on edge cases?
Monitor the model: Are outputs drifting? Are errors increasing? How do you detect model degradation?
Document the model: What model version are you using? When did you deploy it? Who approved it?
Have an escalation process: If Claude produces a wrong output, how do you detect it? Who investigates? How do you remediate?

For UK financial services teams, PADISO’s AI for Financial Services Sydney service covers APRA, ASIC, and AUSTRAC compliance. We help you document Claude deployments in a way that passes FCA scrutiny.

Implementation Patterns for UK Workloads

Pattern 1: Bedrock in London with VPC Endpoints

This is the safest pattern for sensitive data. Your application runs in a private VPC subnet in eu-west-2 (London), and calls Claude via a VPC endpoint. Data never leaves your VPC.

[Your App in Private Subnet]
        ↓
[VPC Endpoint for Bedrock]
        ↓
[AWS Bedrock in eu-west-2]
        ↓
[Claude Model (EU Inference)]

Compliance benefits:

Data stays within your VPC.
All traffic is logged in CloudTrail.
Encryption is managed by AWS KMS (you control the key).
No internet gateway required.
Easy to audit for SOC 2 and ISO 27001.

Implementation steps:

Create a VPC endpoint for Bedrock in eu-west-2.
Attach an IAM policy to your application role allowing bedrock:InvokeModel in eu-west-2 only.
Call Bedrock using the regional endpoint (not the global endpoint).
Enable CloudTrail logging for all Bedrock API calls.
Set up CloudWatch alarms for failed calls or unusual usage patterns.

Pattern 2: Direct Claude API with EU Residency

If you’re not on AWS or prefer direct API simplicity, use the Claude API with EU residency enabled.

[Your App]
        ↓
[Claude API with EU Residency]
        ↓
[Claude Model (EU Inference)]

Compliance benefits:

Simpler operationally (no AWS infrastructure required).
EU residency ensures data stays in Europe during inference.
Direct cost per token is lower than Bedrock.

Risks:

You’re relying on Anthropic’s residency controls, not AWS’s regional isolation.
Audit logging is less detailed than CloudTrail.
You need explicit confirmation from Anthropic that EU residency is enabled for your workspace.

Implementation steps:

Create an Anthropic workspace and request EU residency.
Confirm with Anthropic that inference geo is set to EU.
Generate an API key from the EU workspace.
In your application, set the API key and call Claude.
Log all API calls to your own logging system (Anthropic doesn’t provide detailed audit logs).
Request a Data Processing Agreement (DPA) from Anthropic and keep it on file.

Pattern 3: Hybrid Approach with Fallback

For high-availability systems, call Bedrock in London first, and if it fails, fall back to the direct API. This gives you data residency in the happy path but resilience if Bedrock is unavailable.

[Your App]
        ↓
[Try Bedrock eu-west-2]
        ↓ (if fails)
[Fall back to Claude API (EU residency)]
        ↓
[Claude Model]

Implementation:

Wrap Bedrock calls in a try-catch.
If Bedrock fails, catch the exception and retry with the direct API.
Log which path was taken (for audit purposes).
Monitor the fallback rate. If it’s high, investigate Bedrock availability.

Monitoring and Observability

Logging and Audit Trails

For compliance and debugging, you need detailed logs of all Claude calls. What to log:

Timestamp: When was the call made?
User/caller: Who initiated the call? (Don’t log personally identifiable information in the logs themselves; use a hashed user ID.)
Prompt hash: What was the prompt? (Log a hash, not the full prompt, to avoid logging sensitive data.)
Model and parameters: Which Claude model? What temperature, max tokens, etc.?
Response tokens: How many tokens were in the response?
Latency: How long did inference take?
Status: Did the call succeed or fail?
Error message: If failed, what was the error?

For Bedrock:

Enable CloudTrail logging for all Bedrock API calls. CloudTrail captures:

API caller (IAM principal).
Timestamp.
API action (InvokeModel).
Model ID.
Request and response metadata.

You can then query CloudTrail with Amazon Athena to find all Claude calls in a time range or by a specific user.

For direct Claude API:

Anthropicprovides usage logs in the console, but they’re not detailed enough for compliance. You need to log at the application layer:

import anthropic
import logging

logger = logging.getLogger(__name__)
client = anthropic.Anthropic(api_key="your-api-key")

message = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "What is the capital of France?"}
    ],
)

logger.info(
    "Claude call",
    extra={
        "model": "claude-3-5-sonnet-20241022",
        "input_tokens": message.usage.input_tokens,
        "output_tokens": message.usage.output_tokens,
        "stop_reason": message.stop_reason,
    },
)

Send these logs to a centralised logging system (e.g., DataDog, Splunk, or CloudWatch Logs) so you can query them for audits.

Monitoring Latency and Cost

Set up dashboards to track:

P50, P95, P99 latency: Are your response times acceptable? Is latency degrading?
Tokens per call: Are prompts getting longer? Is token usage increasing unexpectedly?
Cost per call: What’s the cost trend? Are you optimising token usage?
Error rate: How often do calls fail? What are the common failure modes?
Regional routing: If using fallback logic, what fraction of calls fall back to the direct API?

For Bedrock, use CloudWatch Metrics. For direct API, you’ll need to calculate these metrics from your application logs.

Alerting

Set up alerts for:

High latency: If P95 latency exceeds 1 second, page the on-call engineer.
High error rate: If more than 5% of calls fail, alert.
Unusual token usage: If tokens per call spike by 50%, investigate (could be a prompt injection attack or a bug).
Cost spike: If daily spend exceeds a threshold, alert.

Common Pitfalls and How to Avoid Them

Pitfall 1: Assuming Default Residency Is Sufficient

The problem: You call Claude via the direct API without explicitly setting EU residency. You assume your data stays in Europe, but it doesn’t—it goes to the US.

The fix: Confirm with Anthropic that EU residency is enabled for your workspace. Don’t assume. Ask for written confirmation and keep it on file for audits.

Pitfall 2: Logging Sensitive Data in Prompts

The problem: Your application logs full prompts for debugging. A prompt contains a customer’s health record or financial data. Now that data is in your logs, and you’ve lost control of it.

The fix: Log prompt hashes or summaries, not full prompts. If you need to debug, reconstruct the prompt from your application state, not from logs.

Pitfall 3: Not Rotating API Keys

The problem: You generate an API key and use it for years. If the key is compromised, an attacker can call Claude on your account, running up costs and potentially accessing your data.

The fix: Rotate API keys every 90 days. Use AWS Secrets Manager or Anthropic’s key management to automate this. If a key is compromised, revoke it immediately and regenerate.

Pitfall 4: Ignoring Model Versioning

The problem: You deploy Claude 3 Sonnet, and Anthropic releases Claude 3.5 Sonnet. You don’t update your code, so you’re stuck on an older model. When Anthropic deprecates the old model, your application breaks.

The fix: Specify the exact model version in your code (e.g., claude-3-5-sonnet-20241022). When a new version is released, test it in a staging environment before upgrading production. Pin to a specific version, don’t use latest.

Pitfall 5: Not Testing Latency in Production

The problem: You test Claude in a development environment with low load. In production, latency spikes because you’re making more concurrent requests than your Bedrock provisioned throughput allows.

The fix: Load test early. Use tools like Apache JMeter or Locust to simulate production traffic. Measure latency at P95 and P99, not just average. If you’re using Bedrock, provision enough throughput to handle peak load.

Pitfall 6: Forgetting About Prompt Injection

The problem: You build a chatbot that takes user input and sends it to Claude. A user injects a malicious prompt that tricks Claude into revealing sensitive information or executing unintended actions.

The fix: Treat user input as untrusted. Use prompt engineering techniques to constrain Claude’s behaviour (e.g., “You are a customer support agent. You can only answer questions about billing and refunds. If a user asks about anything else, say ‘I can’t help with that.’”). Use content moderation APIs (e.g., Anthropic’s built-in content filtering or a third-party API) to detect malicious input.

Next Steps and Resources

Immediate Actions

Confirm residency with Anthropic: If you’re using the direct Claude API, contact Anthropic and request EU residency for your workspace. Get written confirmation.
Evaluate Bedrock: If you’re on AWS, test Bedrock in eu-west-2 (London) with a small workload. Measure latency and cost.
Request a DPA: Ask Anthropic for their Data Processing Agreement. Review it with your legal team.
Set up logging: Implement application-level logging for all Claude calls. Send logs to a centralised system.
Document your architecture: Create a diagram showing where data flows. Share it with your security and compliance teams.

Compliance Checklist

Resources

For UK compliance, refer to:

Claude API documentation on data residency — Official Anthropic guidance on residency controls.
Anthropic’s data residency in Europe announcement — Overview of EU residency support.
ICO guidance on international transfers — UK regulator’s guidance on lawful data transfers.
UK government guidance on international transfers — Official government guidance.
NHS guidance on GDPR and health data — For healthcare contexts.
NIST Cybersecurity Framework 2.0 — Widely used framework for assessing security controls.
ISO/IEC 27001 standard overview — Information security management standard.
Microsoft Learn: UK GDPR in Azure — Example of how cloud providers document compliance controls.

Getting Help

If you’re building AI products in the UK and need help with architecture, compliance, or deployment, PADISO can help. We work with founders, operators, and engineering teams to ship AI products that pass regulatory scrutiny.

Fractional CTO support: If you need technical leadership on Claude deployments, PADISO’s fractional CTO service can advise on residency, compliance, and architecture.
Security audit readiness: PADISO’s Security Audit service helps you get SOC 2 and ISO 27001 audit-ready. We use Vanta to automate compliance documentation.
Platform engineering: If you’re building a platform around Claude, PADISO’s platform development team can design and build scalable, compliant infrastructure.
AI strategy and advisory: PADISO’s AI Advisory service helps you plan Claude deployments, evaluate trade-offs, and align AI strategy with business goals.

For UK-based teams, book a 30-minute call to discuss your Claude deployment and compliance requirements. We’re based in Sydney but work with UK, North American, and European clients.

Final Thoughts

Deploying Claude in the UK is straightforward if you understand the three pillars: data residency (where inference happens), compliance (what laws apply), and latency (how fast responses arrive). Start with explicit residency controls, log everything, and involve your security and legal teams early. The cost of getting it right is low; the cost of getting it wrong is high.

Use Bedrock in London for sensitive data and real-time applications. Use the direct API with EU residency for simpler workloads. Monitor latency and cost from day one. Document your architecture and keep your DPA on file. And if you’re unsure, ask Anthropic or AWS directly—they have teams dedicated to helping you get compliance right.

Good luck shipping Claude in the UK. We’re here if you need a hand.

Want to talk through your situation?

Book a 30-minute call with Kevin (Founder/CEO). No pitch — direct advice on what to do next.

Book a 30-min call

Deploying Claude in United Kingdom: Data Residency, Compliance, and Latency

Deploying Claude in United Kingdom: Data Residency, Compliance, and Latency

Table of Contents

Why UK Deployment Matters

Data Residency: The Foundation

What Data Residency Actually Means

Checking Your Current Residency Setup

Workspace Geo vs. Inference Geo

AWS Bedrock vs. Direct Claude API

AWS Bedrock: Regional Isolation and Compliance

Direct Claude API: Simplicity and Cost

When to Use Each

GDPR and UK Data Protection Compliance

Legal Basis for Data Transfer

Data Subject Rights and Transparency

Data Processing Agreements (DPAs)

Network Architecture and Latency

Observed Latency Profiles

Network Path Optimisation

Latency for Agentic AI Workflows

Compliance Frameworks and Audit Readiness

SOC 2 Type II and Claude Deployments

ISO 27001 and Information Security

FCA and Financial Services Compliance

Implementation Patterns for UK Workloads

Pattern 1: Bedrock in London with VPC Endpoints

Pattern 2: Direct Claude API with EU Residency

Pattern 3: Hybrid Approach with Fallback

Monitoring and Observability

Logging and Audit Trails

Monitoring Latency and Cost

Alerting

Common Pitfalls and How to Avoid Them

Pitfall 1: Assuming Default Residency Is Sufficient

Pitfall 2: Logging Sensitive Data in Prompts

Pitfall 3: Not Rotating API Keys

Pitfall 4: Ignoring Model Versioning

Pitfall 5: Not Testing Latency in Production

Pitfall 6: Forgetting About Prompt Injection

Next Steps and Resources

Immediate Actions

Compliance Checklist

Resources

Getting Help

Final Thoughts

Want to talk through your situation?