Best AI Agents for Splunk Cloud Platform
View:
Compare the Top AI Agents that integrate with Splunk Cloud Platform as of October 2025
Sort By:
This a list of AI Agents that integrate with Splunk Cloud Platform. Use the filters on the left to add additional filters for products that have integrations with Splunk Cloud Platform. View the products that work with Splunk Cloud Platform in the table below.
What are AI Agents for Splunk Cloud Platform?
AI agents are autonomous systems designed to perform specific tasks by simulating intelligent behavior. They can perceive their environment, make decisions, and take actions to achieve particular goals based on their programming or learning. These agents can be rule-based, relying on pre-set instructions, or machine learning-based, adapting their behavior over time through experience. AI agents are used in various applications, from virtual assistants to self-driving cars and even decision-making systems in business. Their capabilities range from simple automation to complex problem-solving and predictive tasks. Compare and read user reviews of the best AI Agents for Splunk Cloud Platform currently available using the table below. This list is updated regularly.
-
1
Akira AI
Akira AI
Akira.ai provides businesses with Agentic AI, a set of specialized AI agents designed to optimize and automate complex workflows across various industries. These AI agents collaborate with human teams, enhancing productivity, making real-time decisions, and automating repetitive tasks, such as data analysis, incident management, and HR processes. The platform integrates smoothly with existing systems, including CRMs and ERPs, ensuring a disruption-free transition to AI-enhanced operations. Akira’s AI agents help businesses streamline their operations, increase decision-making speed, and boost overall efficiency, driving innovation across sectors like manufacturing, finance, and IT.Starting Price: $15 per month -
2
BREVIAN
BREVIAN
AI agent that understands data from your ticketing systems, CRMs, knowledge bases and release notes, and assists your support teams to resolve tickets faster. Automate routing tickets to the right team based on ticket content. Go from reactive support to proactive support by detecting emerging issues earlier. Categorize tickets into common topics and trends, and improve knowledge bases to reduce ticket volume. BREVIAN AI agents have security and safety built-in, so you don’t need to integrate different products to be enterprise-ready. Implement consistent controls independent of your data and models. Business teams can even combine different agents to build an intelligent network across their enterprise data. Knowledge extraction for structured and unstructured data including images. -
3
100x
100x
100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary. -
4
Cisco AgenticOps
Cisco
AgenticOps is a groundbreaking paradigm redefining enterprise IT operations for the AI-driven era, leveraging AI agents to transform real-time telemetry, automation, and deep domain knowledge into intelligent, end-to-end actions, executing cross-domain workflows in networking, security, and applications directly within a unified platform. At its core is Cisco’s Deep Network Model, a large language model purpose-trained on over 40 years of Cisco expertise, spanning CCIE-level reasoning, CiscoU content, and real-world operational scenarios, further refined via reinforcement learning, chain-of-thought reasoning, and test-time scaling for precision and speed. This engine powers AI Canvas, the industry’s first generative UI for cross-domain IT operations, which aggregates live telemetry data into an intelligent workspace. Through the embedded Cisco AI Assistant, users interact via natural language to diagnose issues, explore options, drill into root causes, and execute remedial actions.
- Previous
- You're on page 1
- Next