HoundDog.ai protects code against common weakness enumeration
categories linked to major data breaches and not addressed by other
code scanners.
SAN
FRANCISCO, May 22, 2024 /PRNewswire-PRWeb/
-- HoundDog.ai, the company implementing data security and
privacy controls at the code level, announced today the completion
of a $3.1M seed round led by E14,
Mozilla Ventures and ex/ante, with additional angel investors
participating. The funding announcement coincides with the general
availability of the HoundDog.ai cloud platform, which helps
organizations apply data security and privacy controls as
developers are writing code; this proactive approach helps
organizations stay ahead of potential threats and reduces the
financial and operational costs of addressing these vulnerabilities
after they are discovered in production.
*Protecting Sensitive Data is Paramount*
In 2023, 92% of all data compromised involved customer and employee
personally identifiable information (PII) record types, according
to an IBM report. Sensitive data leaks can ruin customer
relationships and be very expensive to operationally and legally
remediate.
HoundDog.ai offers an AI-powered code scanner designed to
implement a proactive, shift-left strategy for the protection of
sensitive data and for ensuring privacy compliance. This scanner
continuously detects vulnerabilities that SAST scanners
overlook—vulnerabilities that expose sensitive data in plaintext
across various mediums, such as logs, files, tokens, cookies, or
through third-party systems.
Additionally, HoundDog.ai tracks and visualizes the flow of
sensitive data in real time, documenting processing activities.
HoundDog.ai can scan more than 3 million lines of code in less than
3 minutes. It alerts users when new data elements are introduced,
based on their sensitivity levels, and facilitates the generation
of Records of Processing Activities (RoPA) and other
privacy-related reports with just a few clicks, thereby eliminating
the manual and error-prone processes traditionally used for this
task.
HoundDog.ai uses artificial intelligence (AI) to magnify the
platform's coverage and accuracy. Generative AI is used to evaluate
tokens for sensitive data handling, achieving higher precision
rates. This complements the scanner's pre-defined sensitive data
definitions encompassing personally identifiable information (PII),
personally identifiable financial information (PIFI) and protected
health information (PHI).
***See how it works. Watch these interactive demos.***
"Most companies detect sensitive data leaks through logs, files
or third-party systems when it's too late, after damage has
occurred," said Amjad Afanah, founder and CEO of HoundDog.ai.
"Additionally, documenting data flows for GDPR compliance proves to
be a manual, error-prone process that often fails to accurately
reflect the reality of constantly changing codebases. With
HoundDog.ai, companies can take a proactive stance in ensuring
their sensitive data is protected and eliminate costly, reactive
and error-prone processes for privacy compliance."
*New Features of HoundDog.ai Cloud Platform, Available in GA
Today*
The HoundDog.ai cloud platform, launched today, provides a
consolidated view of vulnerabilities across all code repositories
and automatically sends actionable security notifications in Jira
and Slack. Prior to this release, customers had integrated the
scanner into their CI pipelines, which surfaced the security
findings on security dashboards. While this may continue to be the
preferred model for many organizations that have standardized
security scanning workflows in GitHub and GitLab, the cloud
platform enables more intricate workflows that rely on ticketing
systems for vulnerability tracking and, of course, supports
privacy-related workflows.
Consequently, HoundDog.ai now offers alerts on new data elements
and automatic generation of RoPA reports for GDPR compliance.
Support for Python, TypeScript and JavaScript has been added, in
addition to the existing support for Java, C#, and structured
languages like SQL, GraphQL and OpenAPI. Visit HoundDog.ai for a
full list of features and capabilities.
*Investors and Customers Offer Insights on HoundDog.ai*
"Business models built around adding AI to existing products are
hamstrung from the outset," said Habib
Haddad, managing director at E14 Fund. "We're looking for
the entrepreneurs and products that are using AI to unlock value in
ways that go far beyond incremental improvements to existing
offerings, and that's what HoundDog.ai has done. Amjad and his team
have incorporated AI to dramatically reduce privacy compliance
costs and simplify the proactive detection of sensitive data
exposure with an efficient, frictionless code scanner. They're
fulfilling a true need in a market ripe with growth potential."
"As an increasing number of companies turn to AI-generated code
to accelerate development, embedding security best practices and
ensuring the security of the generated code becomes essential,"
said Amjad Masad, CEO of Replit and
an investor in the round. "HoundDog.ai is leading the way in
securing PII data early in the development cycle, making it an
indispensable component of any AI code generation workflow. This is
the reason I chose to invest in this company."
"Companies handling sensitive data need a code scanner that is
both fast and integrates with existing security dashboards, such as
the GitLab Vulnerability Report in our case," said Bryan Kaplan, EVP, chief information and
security officer at Juvare. "It needs to provide peace of mind by
ensuring that sensitive data does not accidentally leak into logs,
files, or third-party systems, even with high-frequency updates to
the codebases. It's this capability that drew us to HoundDog.ai, as
no one else is presently offering this."
"The Cacilian platform has helped hundreds of customers improve
their security posture with its comprehensive penetration testing
capabilities," said Chase Bowman,
vice president of security testing and engineering at Prescient
Security. We are excited to extend the coverage of our findings to
include sensitive data leaks through logs, files, and third-party
systems, which can be extremely costly to address in production,
via our integration with HoundDog.ai. HoundDog's AI-powered scanner
can be plugged into the CI pipeline for continuous — and not just
point-in-time — detection, and can drastically simplify datamap
generation for privacy compliance."
About HoundDog.ai
HoundDog.ai helps organizations protect sensitive data from
exposure and streamline compliance workflows by integrating data
security and privacy controls at the code level from the very
start. With its AI-powered code scanner, HoundDog.ai detects code
logic suspected of handling sensitive data, flags vulnerabilities
where PII data is exposed in plaintext (in logs, files, and 3rd
party systems) and automates the generation of sensitive datamaps
and RoPA reports for GDPR. HoundDog.ai supports popular languages
and integrates with existing tools, CI pipelines and developer
workflows. More at http://www.hounddog.ai.
Media Contact
Cristin Connelly, HoundDog.ai, +1
404-931-6752, cristin@cathey.co, www.hounddog.ai
View original content to download
multimedia:https://www.prweb.com/releases/hounddogai-closes-seed-round-launches-ai-powered-code-scanner-to-identify-sensitive-data-exposures-during-development-while-slashing-compliance-costs-302152475.html
SOURCE HoundDog.ai