Best Practices for Compliance Management on AI Risk Policies
Best Practices for Compliance Management on AI Risk Policies

Soniya Bopache
SVP and GM of Arctera
24x7 data compliance with in-depth risk analytics.

Classify and control unstructured data.
More than half of all enterprise data is defined as “dark” or unknown, which creates significant regulatory risks. Arctera Data Insight is a robust reporting platform that gives compliance teams the ability to classify and contextualize content — enhancing eDiscovery, quickly identifying risks, and ensuring that your organization meets its regulatory requirements.
Scan and assess unstructured files and expose data liabilities.
Quickly locate and classify high-risk content and identify who uses each file.
Proactively manage and audit content files with predictive analytics.
Leverage easy-to-use reporting to eliminate waste, reduce costs, and consistently apply data classification policies.
Optimize compliance with regulatory archiving across platforms, including Arctera™ Enterprise Vault.
Identify data you should keep versus data you can defensibly delete.
Minimize duplicate, stale, orphaned, and dark data.
Enable content owners to easily apply policies through a self-service portal.

Analyze user behavior and protect against data theft within your organization.
Identify potential access issues or malicious insider behavior based on metadata and activity.
Profile users based on social interactions and roles, identifying questionable relationships.
Leverage User Risk Scores to assess potential threats and prioritize high-risk data.
Facilitate user behavior changes with a pre-built remediation workflow.
Stop ransomware fast with real-time file activity monitoring.
Secure authentication with Active Directory and CyberArk.
Accelerate risk cleanup with bulk remediation via API or CSV.
Scale scanning with high-availability Collector Pools.
Report on MIP labels and metadata for deeper insight.
Streamline SIEM workflows with OCSF-compliant logging.
Flag anomalies automatically and identify suspicious or malicious user behavior.
Use proprietary algorithms to collate employee profiles, behavior, and content sensitivity.
Leverage integrated file analysis, data loss prevention (DLP), and archiving solutions.
Highlight non-malicious access risks from negligent employees or exposed shares to administrators.
Capture user activity for billions of actions to identify trend lines and outliers.

Control global access permissions and identify possible ransomware hidden in your files.
Leverage detection templates to find ransomware through read-and-write count variables.
Create a detailed audit trail of who accessed data and when they made changes.
Identify the data owners and custodians you need to engage for policy and compliance efforts.
Utilize data ownership identifications and access permissions visibility for entitlements review.
Identify ways your organization can prevent security threats, reduce regulatory risk, and optimize storage.
Best Practices for Compliance Management on AI Risk Policies

Soniya Bopache
SVP and GM of Arctera
Today, Arctera stands at a pivotal moment, not in transition, but in transformation, following our acquisition by Cloud Software Group. As a result, we’re doubling down on our compliance-focused product innovation, sales motions and customer experience by making our compliance operations a standalone business unit in the Cloud Software Group family.

Soniya Bopache
SVP and GM of Arctera
AI has officially crossed into regulated territory. It’s no longer just automating routine work. It’s shaping what’s said, how it’s said, and even which decisions get made.

Shilo Thomas
Product and Solutions Marketing, Data Compliance