PII leak detection, privacy engineering, and compliance that starts in code. And from the Dataflow Context Engine: best practices for rolling out Claude Code and other AI coding agents at scale, with centralized context on cross-service and API dependencies across microservices and monorepos. Practical guides for privacy, security, and engineering teams.
AI adoption has outpaced privacy controls. See how code level scanning discovers shadow AI, traces sensitive data flowing into LLM prompts, and brings privacy by design to AI applications before they reach production.
Third party SDKs and AI integrations ship faster than DPA reviews. How to enforce data processing agreements in code, before violations become production issues.
The HoundDog.ai connector brings PII leak findings and PII inventories into Brinqa, so AppSec teams can factor data sensitivity into vulnerability prioritization.
Catch PII leaks as you type. The scanner now runs inside VS Code, JetBrains, and Eclipse, with Managed Scans for continuous repository wide coverage.
Most GDPR tooling reacts to production data. Code level scanning simplifies PII management, processor accountability, and data mapping before deployment.
A principle by principle guide to SCF privacy by design: data classification, minimization, data flow mapping, processing records, and third party oversight, automated at the code level.
The ATO process stalls on manual data flow mapping, stale PII inventories, and third party risk. Code level automation satisfies SSP controls faster.
Protect health data with automated risk analysis, PHI data flow tracking, and Business Associate Agreement monitoring before code reaches production.
Code level data flow mapping for PCI DSS 1.2, 3.1, and 12.8: cardholder data tracking, data leak prevention in logs and files, and third party processor oversight.
Why overlogging happens, the compliance risks it creates, and how shift left data leak prevention catches PII leaks in logs before production.
Our founding story: coming out of stealth with a seed round, the questions from security and privacy teams that sparked the company, and why privacy needs to start in code.
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