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. Days – sometimes weeks – are spent scrubbing logs, assessing exposure across tools that ingested them, and patching code after the fact.
- Costly Third-Party PII Masking: Datadog’s per-GB scanned pricing is prohibitive – nearing $1 million per year for full coverage, and that’s just for logs within Datadog.
Outcomes with HoundDog.ai:
- $1M in Cost Savings: Eliminated the need for Datadog’s $700K log masking, reduced reliance on AWS Macie for PII detection, and removed the disruptive effort of remediating log leaks – saving an average of 80 hours per incident.
- PII Leak Elimination: Identified 500+ sensitive leaks, established a baseline across all 500 code repositories scanned, and prioritized the remediation 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:
- 50% Reduction in Data Mapping Overhead. Automated data flow documentation and privacy reporting across thousands of code repositories supplemented existing privacy tools and eliminated the lengthy cycles required for manual corrections caused by missed flows from shadow third party integrations or frequent code changes.
- Zero PII Leaks: Reduced monthly sensitive data leak incidents from 10 to zero across thousands of code repositories by detecting and preventing leaks at the source – before they reached production logs.
- Enhanced Privacy Maturity: Strengthened HIPAA and privacy program maturity by enabling earlier visibility into data flows, automating data mapping tasks, and reducing 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.
