Contact - SecureFlow - Webflow HTML website template

Frequently Asked Questions

1. How do I know if my business needs AI agent security?

AI agents interact with tools, sensitive data and external systems - which makes them vulnerable to prompt injection, tool misuse and data exfiltration. If your agents take actions on your behalf, call APIs, automate workflows or use LLMs with external tools, DeepLock helps ensure they stay aligned, safe and compliant.

2. Will DeepLock disrupt my existing AI workflows?

Not at all. DeepLock integrates directly with your current agent frameworks like LangChain and Bedrock (LangGraph, OpenAI and other frameworks to be added soon) with minimal code changes. Deployment is seamless and designed to run behind the scenes, so your agents continue operating normally while DeepLock monitors and protects them in real time.

3. What happens when DeepLock detects a threat?

DeepLock automatically takes the appropriate action based on your selected mode:

‍Shadow Mode: Log the incident without blocking.
‍Enforce Mode: Block the unsafe action, redact sensitive data, or stop tool execution.You also receive detailed audit logs explaining what happened, why it was risky and what DeepLock did to protect you.

4. Does DeepLock require access to my data?

No. DeepLock runs entirely within your infrastructure.

‍All scanning, enforcement, and decisioning happen locally - your prompts, outputs and tool responses never leave your environment.

By default, logs are stored locally as well.If you prefer cloud storage, DeepLock supports optional logging into your own cloud environment (e.g., your S3 bucket). DeepLock never sends your data to our servers, making it ideal for regulated, privacy-sensitive and enterprise deployments.

5. Can DeepLock work with my custom tools, APIs or internal systems?

Yes. DeepLock’s intent framework and runtime enforcement can secure:

- Custom tools
- Internal APIs
- Private endpoints
- Organization-specific agent workflows

You define what is allowed and DeepLock ensures the agent stays within those boundaries.

6. How does DeepLock handle streaming LLM outputs?

DeepLock includes a Streaming Guard that scans tokens in real time for system leaks, sensitive data and prompt injection.If a violation occurs, DeepLock can immediately block or mask the output before it’s exposed to users or downstream systems.

7. Do I need to change my agent architecture to use DeepLock?

No. DeepLock is designed to be a drop-in layer.In most cases, adding a few lines of code to wrap your LLM calls and tool calls is enough to enable full protection.

8. What is “intent-based security” and why does it matter?

Intent defines what your agent should be able to do - allowed tools, destinations, capabilities and constraints. DeepLock enforces this intent at runtime, ensuring your agents stay aligned and cannot perform unsafe or unauthorized actions.

Get in touch

Contact Us

Frequently Asked Questions

Popular Links

Get In Touch

DeepLock