We introduced
AI Access Security to
enable businesses to safely adopt GenAI apps across
their organization by mitigating the risks associated with data leakage in prompts
and malicious content in responses.
AI Access Security includes an
extensive dictionary of generative artificial intelligence (GenAI) apps to help you
identify GenAI apps alongside contextual, fine-grained access control policy rules
to help you prevent exfiltration of sensitive data.
AI Access Security
also provides detailed monitoring capabilities that enable you to filter for
specific GenAI apps, users, and GenAI use cases, which in turn enables you to write
targeted Security policy rules to strengthen your security posture that help you
control the data leaving your organization for GenAI apps allowed within your
organization.
GenAI apps are AI apps capable of generating text, images, videos, and other forms of
data in response to user prompts and continuously learn based on user inputs. Their
usage is proliferating at an astonishing rate and offer limitless opportunities for
businesses. However, the nature by which GenAI apps contentiously improve presents a
new danger to businesses and security administrators — how can you ensure your
employees are not exposing sensitive or proprietary data to GenAI apps?
AI Access Security is powered by three core principals that allow your
organization to safely use GenAI apps while ensuring your sensitive or proprietary
data isn't exposed.
Identify and Control GenAI Apps—AI Access Security provides
robust GenAI app taxonomy, attributes, and access control tools to identify
and manage which GenAI apps are sanctioned, tolerated, or unsanctioned in
your corporate network.
Comprehensive Visualization and Reporting—Your manage AI Access Security entirely from Strata Cloud Manager—your
single pane of glass management experience across your security enforcement
channels. AI Access Security includes a detailed dashboard that
displays trends that help you to filter and explore usage based on users,
data transfers, GenAI apps, and use cases across all channels. You can also
generate executive summary reports to summarize GenAI app usage, policy
violation metrics, and other important data security metrics.
Data Protection—Enterprise Data Loss Prevention (E-DLP), the Palo Alto Networks
cloud-based data loss prevention service that uses AI and supervised machine
learning algorithms, is the detection engine that enables you to prevent the
exfiltration of sensitive data for file and non-file based uploads and text
prompts.
