How Agentic AI Transforms Enterprise Security and Observability

Presented by Splunk

Agentic AI is poised to revolutionize enterprise digital resilience by combining conversational analysis from LLMs with autonomous task execution. This powerful combination enables organizations to shift from reactive troubleshooting to proactive planning in security and observability.

Key Benefits of Agentic AI

1. Faster Root-Cause Analysis

   • Crosses siloed application boundaries for complete visibility
   • Completes in minutes what previously took engineers hours
   • Automates multi-step security investigations

2. Proactive Threat Prevention

   • Forecasts vulnerabilities before exploitation
   • Detects subtle user behavior anomalies
   • Identifies system health issues before escalation

3. Contextual Decision-Making

   • Processes multidimensional environmental data
   • Adapts reasoning in real-time
   • Optimizes operational performance

4. Workforce Upskilling

   • Provides natural language interface
   • Democratizes knowledge across domains
   • Enhances analyst capabilities

Deployment Considerations

1. Human Oversight

   • Maintain human-in-the-loop for critical decisions
   • Implement human-on-the-loop for agent management
   • Use reinforcement learning to improve models

2. Specialized Agents

   • Domain-specific agents reduce hallucinations
   • Targeted agents improve accuracy
   • Lower compute costs than general-purpose LLMs

3. Integration Protocols

   • MCP for LLM integration
   • A2A for agent communication
   • AGNTCY for enterprise orchestration

4. Access Governance

   • Define clear agent access levels
   • Establish audit trails
   • Maintain compliance

Splunk's AI Approach

Splunk is embedding generative and agentic AI across its security and observability solutions, building on its machine learning heritage. The company's unified data platform creates an AI-ready foundation for enterprise digital resilience.

Learn more at www.splunk.com/ai

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