Solutions
Paradime for Cybersecurity
Paradime has emerged as the platform of choice for some of the world's largest cyber enterprises who want to run their data pipelines and agent workflows in a zero-trust secure environment in our or their cloud.
#detection-eng
Maya@Paradime what's our false-positive rate by rule since sensor v7.2?
- Read 2.1B events from
Snowflake
- Rebuilt fct_detections for the release window
- Joined alerts to analyst verdicts
Use Cases
What security teams run on Paradime
Telemetry in, tested metrics out, with an audit trail on the pipeline itself.
Control
RBAC for users and agents
You can create custom environments and permission sets for both humans and agents. This gives security-aware teams complete control.
Log
SIEM-ready audit logs
Paradime records every run, change, and DinoAI action. Agent sessions keep a full log. Query the audit log through the API and export it to your SIEM.
Isolate
Run in your own cloud
Bring Your Own Cloud on AWS, GCP, or Azure and keep compute and data inside your network perimeter.
Ingest
Ingest business data
Schedule ingestion of your business data into your data warehouse. DinoAI agents automate generating dbt™ pipelines from any source.
Model
Define metrics as code
Define mean time to detect, patch compliance, and asset coverage once, in tested dbt™ models instead of ad hoc queries. Use DinoAI agents to always keep test updated in your pipeline.
Respond
Integrate incident tools
Add incident tools like PagerDuty, Datadog, incident.io, or New Relic to your data pipelines. Add DinoAI agents that react to incidents in Slack and performs triage, and fix.
Customers
Why security-conscious teams choose Paradime
Teams in banking, payments, and identity run their data pipelines on Paradime.
“DinoAI has transformed my development process. Having it integrated directly into my development environment means I never have to context-switch, making my coding significantly faster and more efficient.”
Prompts
Ask DinoAI to do the security data work
DinoAI reads your code base, warehouse schema, run logs, and lineage before it acts. Run these in the Code IDE, from Slack, on a Bolt schedule, or from Claude or Cursor through the MCP server.
Model endpoint agent coverage
In Agent mode, DinoAI joins the asset inventory to the endpoint tool and tests that nothing in scope is missing.
Try it in ParadimeBuild an endpoint_coverage model that joins stg_cmdb_assets to stg_edr_agents, reports coverage by business unit and operating system, and tests that every in-scope asset appears exactly once.
Roles
Built for every role on the security team
What each role gets out of Paradime and DinoAI.
Compute and data stay inside your own cloud account
Every pipeline change is reviewed, tested, and logged, agents included
Coverage and exposure metrics from tested models, not spreadsheets
One audit trail for the data platform and every agent session
Trust
Built with zero-trust security
Security, deployment, and access controls that meet enterprise security requirements.
Certified and controlled
SOC 2 Type II and GDPR. Single sign-on with Okta, Microsoft Entra ID, Google, and JumpCloud. IP allowlisting for the app, API, and CLI.
Your cloud, your keys
Deploy the data plane in your own AWS, GCP, or Azure account. Connect over PrivateLink and reference secrets from AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager.
A record of every change
Audit logs cover every run, configuration change, and DinoAI action, and export through the API. Agent sessions keep a full transcript. Lineage for any reported figure exports to CSV.
Review before production
Nothing reaches production without a reviewed pull request and a passing CI run. Agents cannot merge. Custom roles separate who can develop, who can merge, and who can run. DinoAI's warehouse access is a setting you control.
Join industry leaders winning with DinoAI agents
Data engineers and analysts at the most AI-native startups and enterprises use Paradime's DinoAI agents everyday to become market leaders.