Pioneering the Future of AI Data Security with Comprehensive
Autodiscovery Capabilities
NEW
YORK, Aug. 6, 2024 /PRNewswire/ -- BigID, a
trailblazer in data security, privacy, compliance and AI Data
Management, today announced a significant expansion of its
industry-leading Autodiscovery capabilities. This new enhancement
extends their powerful autodiscovery technology to include AI
assets and models, marking a pivotal advancement in securing data
across modern data environments and accelerating AI adoption
securely.
With this groundbreaking capability, BigID can now automatically
discover and catalog AI assets from major platforms, including
Azure OpenAI, Hugging Face, and OpenAI - and automatically build an
AI asset inventory in order to reduce risk of data leaks, data
breaches, and non-compliance. These platforms represent the most
popular managed AI systems and open-source model repositories
available today, making this a crucial development for enterprises
leveraging AI technology.
"BigID pioneered autodiscovery in the cloud, enabling automatic
detection of sensitive data across AWS, Azure, and GCP," said
Nimrod Vax, Head of Product and
co-founder at BigID. "With this latest innovation, our customers
can now extend discovery and cataloging to AI data sources, helping
ensure they secure their data, stay ahead of AI regulations like
the EU AI Act, and bolster their overall security posture."
Key features of BigID's expanded autodiscovery include:
- Detection of Unmanaged AI Models: Utilizing BigID's
unique classification capabilities, the platform can now identify
and alert users about the presence of Large Language Models (LLMs)
saved in unstructured environments and code repositories. This
extends across any unstructured data source that BigID connects to,
spanning both cloud and on-premises environments.
- Detection of Managed AI Models and Training Data Sets:
BigID can now detect and catalog managed AI models, such as those
in Azure OpenAI, Hugging Face, and OpenAI. The platform can also
alert users if sensitive information was used during the training
process, providing critical insights into data security and
compliance.
- Automated Inventory of AI Assets: Customers can now use
BigID to automatically inventory AI assets, models, and data used
for training AI models - including datasets and files, models, and
vector databases.
- Future Expansion: In Q3, BigID plans to add coverage for
Azure AI and GCP Vertex AI, with further expansion to AWS Bedrock
and Databricks slated for Q4. This ongoing commitment to innovation
ensures that BigID remains at the forefront of AI data
security.
This latest advancement from BigID empowers organizations to
catalog and inventory their AI assets comprehensively, providing
unprecedented visibility and control over their data. By automating
the discovery and cataloging of AI models and associated data,
BigID helps enterprises mitigate risks and adhere to evolving
regulatory requirements.
See BigID's latest in pioneering AI security at the Black Hat
Conference, August 5 - 8 at booth
#4364.
About BigID:
BigID empowers organizations to know their enterprise data and
take action for data-centric security, privacy, compliance, AI
innovation, and governance. Customers deploy BigID to proactively
discover, manage, protect, and get more value from their regulated,
sensitive, and personal data across their data landscape. BigID has
earned numerous accolades, including being highlighted as CRN's top
100 security companies two years in a row in 2024 and 2023, a
finalist in CRN's 2024 Tech Innovator Awards, recognized as the
most innovative security company of the year for its AI data
security in the 2024 Globee Awards, and named as a "Market Leader
Data Security Posture Management (DSPM)" in the 2023 Global InfoSec
Awards. Additionally, BigID's impressive growth earned it a spot on
the 2023 Deloitte 500 for the third consecutive year, one of CNBC's
2022 Top 25 Startups for the Enterprise, named to the Forbes Cloud
100, and recognized on the 2023 Inc. 5000 for the third consecutive
year. For more information, please visit www.bigid.com.
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SOURCE BigID