Splunk has quietly become one of the most AI-infused platforms in the enterprise. A practitioner's tour of where AI and Splunk meet today - plain-English SPL, machine learning in the search pipeline, the agentic SOC, and connecting AI agents to Splunk through MCP.
You do not need a research lab to use AI responsibly - you need guardrails that fit how your business works. A practical, one-page-policy approach to AI governance, mapped to the compliance controls you already owe.
AI in security is oversold in marketing decks and underused where it matters. Here is where it reliably saves analyst time or catches what a human would miss - and the guardrails that keep it an asset.
AI adoption has outrun AI governance at most companies. Here are the real risks - shadow AI, prompt injection, deepfakes, and the AI supply chain - and the controls that address them without killing productivity.
The landscape of cybersecurity has evolved dramatically over the past few decades. From the early days of simple antivirus software to today's sophisticated AI-driven defense mechanisms, the journey has been marked by rapid advancements and shifting paradigms. This blog post explores the milestones in the evolution of cybersecurity, highlighting how these changes have shaped our approach to digital security. The Early Days: Antivirus and Basic Security Measures The Advent of Antivirus...
