With the rise of digital transformation, organizations are experiencing an exponential increase in cyber threats. Unauthorized access, insider threats, and compliance challenges have made Identity and Access Management (IAM) security a top priority. Traditional security measures fall short when it comes to detecting sophisticated cyberattacks in real time. Organizations need a solution that is not only proactive but also integrates seamlessly with their existing infrastructure. Additionally, business users must be able to access, understand, and act on security insights without deep technical knowledge.
This calls for a system that doesn’t reinvent the wheel but enhances what’s already in place—pulling in logs from current providers and turning raw data into real-time, actionable intelligence.
The need for a better solution
Modern organizations need more than just another log analysis tool. While many tools exist for log alerting and monitoring, the challenge lies in how easily and intelligently they integrate with existing log providers and make insights accessible across teams.
Key gaps include:
- Integration with log platforms/services already in use
- Seamless data ingestion into Databricks
- Proactive detection of anomalies and alerting on patterns frequently investigated
- Natural language accessibility for business users to query and understand logs without technical expertise
Our solution bridges these gaps.
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Unified log processing, proactive alerting, and AI-powered insights
Our platform is not about replacing existing tools—it’s about amplifying them. By integrating with your current log providers (e.g., CloudTrail, GuardDuty, Azure Monitor, GCP Cloud Logging), the system captures and processes log data through Databricks, where it becomes a foundation for intelligent security insights.
The solution leverages:
- Custom log connectors to ingest data from existing services
- Databricks Workflows to orchestrate real-time data processing
- AI/BI Genie to allow non-technical users to ask questions and get clear answers
- Model Serving to refine insights using large language models
- Slack Integration for real-time alerts and querying
This creates a closed-loop, intelligent security system that proactively identifies threats and translates complex insights into actionable business language.
Seamless log integration
The solution captures a variety of logs—Access, Security, Audit, Application, Network, Compliance, and more—directly from the services you’re already using. This data is then ingested into Databricks using custom connectors, enabling low-latency data flow and preserving your existing infrastructure.
Proactive alerting and anomaly detection
What sets this solution apart is its ability to provide proactive alerting on anomalies and behavioral patterns that align with what your users frequently ask about. Instead of waiting for a problem to be flagged manually, the system learns what’s important and automatically surfaces relevant insights and alerts in real time.
Empowering business users via AI/BI Genie
With AI/BI Genie, business users can ask questions in plain English like:
- “What unusual access attempts occurred yesterday?”
- “Is there a spike in failed logins from a specific IP?”
- “Who accessed sensitive systems outside business hours?”
AI/BI Genie converts these questions into queries and provides answers in a format that’s digestible—no SQL or coding required. This democratizes access to security insights, bridging the gap between IT and business stakeholders.
Real-time monitoring with Slack integration
To ensure insights are immediately actionable, Slack is integrated into the workflow. This allows:
- Natural language queries and alert subscriptions
- On-demand access to key dashboards and summaries
- Cross-functional teams to collaborate on security events in real time
Advanced AI with Model Serving
The system leverages the latest, highest-tier models available through Databricks Model Serving to enhance the accuracy and relevance of responses. This AI-powered layer ensures that outputs are context-aware, precise, and tailored to the user’s query. Whether it’s summarizing complex logs, identifying nuanced threats, or answering natural language questions, the model serving component refines the output to deliver actionable, real-time intelligence across technical and non-technical users alike.
Business outcomes
Implementing this system results in:
- Improved threat detection through real-time, proactive analysis
- Operational efficiency by automating log processing and alerting
- Enhanced compliance with audit-ready insights
- Greater accessibility for business users with AI-assisted querying
- Strategic agility with faster, insight-driven decisions
Conclusion
Rather than replacing your existing log monitoring tools, this solution enhances them by creating a unified, intelligent layer that ingests, processes, and interprets log data in real time. It brings the power of Databricks, large language models, and proactive analytics into a single solution—accessible not just to security professionals but to business users as well.
Cybersecurity becomes not only stronger, but smarter, simpler, and more aligned with how your teams already work. With zeb as your trusted partner, you can harness this innovation to transform your security operations and empower your teams with insights that drive faster, more informed decisions. Contact us to see how this approach can be tailored to your organization’s unique needs.