Fortune 1000 Enterprises Trust
HoundDog.ai to
Implement Privacy-by-Design
HoundDog.ai helps security and compliance teams reduce PII risks without slowing development. Customers cut third-party masking costs, minimize breach risks, and strengthen privacy maturity across GDPR, SCF, HIPAA, PCI, and FedRAMP
Sensitive Data Protection at the Speed of Development
“For companies handling sensitive data, HoundDog.ai is a real must-have. The scanner is blazingly fast and integrates seamlessly with our GitLab workflow. More importantly, it provides the peace of mind we need by ensuring that sensitive data does not accidentally leak into logs, files, or third-party systems, even with high frequency updates to the codebases.”
CISO
Juvare
Juvare
The #1 Privacy Risk
Hiding in Plain Sight: Your Logs
Based on thousands of leaks detected by the HoundDog.ai scanner, logs rank first—accounting for 65% of findings—followed by third-party integrations at 30%. Other risky mediums, such as local storage, files, and cookies, make up the remaining 5%.
Logs are among the riskiest mediums, as they’re ingested by multiple tools and can make it easier for hackers (already inside your network) to exfiltrate data. Relying solely on DLP for PII detection in logs is reactive and unreliable due to sampling limitations. Issues are often identified too late—after logs have been ingested by multiple tools—without context on the root cause
Logs are among the riskiest mediums, as they’re ingested by multiple tools and can make it easier for hackers (already inside your network) to exfiltrate data. Relying solely on DLP for PII detection in logs is reactive and unreliable due to sampling limitations. Issues are often identified too late—after logs have been ingested by multiple tools—without context on the root cause
Monitoring Platforms Lead
in PII Intake, LLMs Show Rapid Growth in Risk
Among the leaks found in third-party integrations, monitoring platforms (e.g., Datadog) account for the largest share of PII exposure—well beyond what’s permitted under accepted Data Processing Agreements (DPAs). Sales and marketing platforms, web analytics tools, and LLM integrations also contribute to DPA violations, with AI models representing the fastest-growing source of PII risk.
Unicorn FinTech
(200 Developers)
Challenges:
- PII in Logs: Appears 1-2 times a month, causing interrupt work for SREs.
- Costly Third-Party PII Masking: Datadog’s per-log pricing can quickly add up, with full coverage often reaching the high six figures—nearing seven—for larger environments.
Outcomes with HoundDog.ai:
- PII Leak Elimination: Identified hundreds of sensitive leaks, creating a baseline and prioritized backlog
- Automated Continuous Coverage: GitHub App runs on every merge, proactively detecting PII leaks in new code and blocking risky PRs.
Fortune 500 Healthcare
(1,000 Developers)
Challenges:
- Expensive & Incomplete Detection: With thousands of code repositories, relying solely on DLP for PII leaks is costly and lacks third-party coverage
- Gaps in SCF Compliance: Privacy-related controls, including data minimization, RoPA, and third-party data sharing, are only partially met or addressed reactively
Outcomes with HoundDog.ai:
- PII Leak Reduction: Identified thousands of sensitive leaks, established a prioritized backlog, and significantly reduced the downstream impact on the data security team
- Privacy Maturity Enhancement: Enabled HIPAA and privacy teams to track data flows early, automate key data mapping tasks, and minimize sensitive data exposure in third-party integrations.
Make Privacy-by-Design a Reality in Your SDLC
Shift Left on Privacy. Scan Code. Get Evidence-Based Data Maps. Prevent PII Leaks in Logs and Other Risky Mediums Early—Before Weeks of Remediation in Production.