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UEBA for insider threat detection in government
Insights on user and entity behavior analytics (UEBA) from Deloitte and Databricks
As insider threat detection grows more complex, public sector teams need UEBA that can connect fragmented data, surface meaningful anomalies, and support faster investigations. A recent report details how Deloitte’s Cyber Data Optimization solution, powered by Databricks, can help.
Key takeaways
- Public sector cybersecurity teams can unify identity, workforce and user activity data
- Insider threat detection improves with persona-based behavioral baselines
- AI and machine learning anomaly detection can help surface suspicious activity faster
- Privileged user monitoring can support compromised account detection
- Deloitte and Databricks can help modernize behavioral threat detection at scale
Public-sector UEBA challenges
Public sector organizations need to monitor user and entity behavior across fragmented systems, mission-specific platforms, contractors, partners, and global workforces to protect critical mission objectives and crown jewels. Without centralized, contextualized data, it becomes difficult to determine who performed an action, whether it is truly anomalous, and how quickly to prioritize the response. Deloitte’s approach uses unified behavioral analytics to combine action-based and person-based risk lenses, improving context, reducing false positives, and enabling more consistent investigations and decisions.
From fragmented signals to actionable insight
Using Databricks’ Data Intelligence platform, Deloitte’s approach ingests, normalizes and enriches existing data so public sector organizations can evaluate behavior across multiple data sources rather than isolated alerts. Behavioral baselines can be shaped around personas, roles, missions and access levels, so teams can distinguish between normal and unusual activity to accelerate insider threat detection.
Our approach also supports action-based and person-based risk perspectives for public sector cybersecurity. This gives executives and analysts the context they need to prioritize investigations, understand emerging patterns and make more consistent decisions.
Supporting governed, role-based decision-making
Public sector insider threat programs involve multiple stakeholders, from executives and mission leaders to security operations, risk management, privacy, and compliance teams. Deloitte’s Cyber Data Optimization solution can support shared, governed views or risk, evidence, and rationale, enabling stakeholders to access the level of detail appropriate to their roles.
Executive-ready reporting and analyst-focused views can support leadership review, investigation triage, and oversight needs. Role-based masking and controlled access can help protect sensitive employee and human resources data without exposing unnecessary context, supporting more consistent decisions during monitoring and response.
