Best Artificial Intelligence Software for Splunk Cloud Platform - Page 2
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Compare the Top Artificial Intelligence Software that integrates with Splunk Cloud Platform as of October 2025 - Page 2
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This a list of Artificial Intelligence software that integrates 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.
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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. -
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Deductive AI
Deductive AI
Deductive AI is a cutting-edge platform that redefines how organizations handle complex system failures. By connecting your entire codebase with telemetry data, encompassing metrics, events, logs, and traces, Deductive AI empowers teams to pinpoint the root cause of issues with unprecedented precision and speed. It streamlines the process of debugging, significantly reducing downtime and improving overall system reliability. Deductive AI integrates with your codebase and observability tools, creating a unified knowledge graph powered by a code-aware reasoning engine to diagnose root causes like an expert engineer. It builds a knowledge graph with millions of nodes in seconds, uncovering deep relationships between codebase and telemetry data. It orchestrates hundreds of specialized AI agents to search, discover, and analyze breadcrumbs of root cause spread across all connected sources. -
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Synergy
Unframe
Synergy is an AI-native command center for enterprise IT operations that unifies siloed monitoring, ticketing, logging, and documentation into a single pane of glass. It continuously correlates signals across tools like Splunk, New Relic, Jira, ServiceNow, and Confluence to turn alert storms into clear, prioritized insights. Synergy’s Smart Incident Workflows automate routine tasks, suggest next steps, flag ownership gaps, and accelerate resolution to cut mean time to detection and repair. Its proactive monitoring detects risks before traditional alerts trigger, flags error spikes and missed escalations, recognizes emerging patterns, and answers investigative queries in natural language. Built-in root cause analysis traces incidents end-to-end across time, logs, metrics, tickets, and post-mortems, links to similar events for instant context, and generates concise summaries. -
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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. -
5
Apica
Apica
Apica is the observability cost optimization leader helping IT teams gain complete control over their telemetry data economics. Apica Ascent processes all observability data types including metrics, logs, traces, and events while optimizing observability costs by 40% compared to traditional approaches. Unlike solutions that lock users into proprietary formats, Ascent offers true flexibility with support for any data lake of choice, on-premises or cloud deployment options, and elimination of expensive tool sprawl through modular solutions. Built to handle high-cardinality data that overwhelms competitive solutions, Ascent includes the patented InstaStore™ optimized storage technology for maximum efficiency and advanced root cause analysis capabilities. Organizations choose us to make observability investments that reduce costs instead of spiraling them out of control. -
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CognitiveScale Cortex AI
CognitiveScale
Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives. -
7
Cyclops
Cyclops Security
Prioritizing risk is one of the biggest challenges in cyber security, our innovative solution creates a business context for your security operations, allowing you to validate the effectiveness of your security controls in the context of your unique business requirements. Cyclops integrates with your existing security tools using the CSMA approach to gather metadata on threats, vulnerabilities, cloud instances, SaaS apps, and more. It then enriches this data with context and insights by looking at the same entities in different products that are integrated. By providing this contextualized approach to risk validation, our cybersecurity mesh product helps you make intelligent decisions and focus on what really matters. -
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Conifers CognitiveSOC
Conifers
Conifers.ai's CognitiveSOC platform integrates with existing security operations center teams, tools, and portals to solve complex problems at scale with maximum accuracy and environmental awareness, acting as a force multiplier for your SOC. The platform uses adaptive learning, a deep understanding of institutional knowledge, and a telemetry pipeline to help SOC teams solve hard problems at scale. It seamlessly integrates with the ticketing systems and portals your SOC team already uses, so there's no need to alter workflows. The platform continuously ingests your institutional knowledge and shadows your analysts to fine-tune use cases. Using multi-tier coverage, complex incidents are analyzed, triaged, investigated, and resolved at scale, providing verdicts and contextual analysis based on your organization's policies and procedures, while keeping humans in the loop. -
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Swish.ai
Swish.ai
The first hyperautomation platform that works with any existing ITSM tool to uncover and act on insights in real time, accelerating ticket resolution time and reducing costs. Swish.ai hyperautomation platform mines, automates, and predicts the best course of action, and then routes to the best-matched agent. The Swish.ai platform evaluates your historical ITSM ticket data to create and inform dynamic AI models that capture insights about your unique environment, even as it evolves. Swish.ai’s patented solution goes beyond NLP to understand your company lingo. It improves the understanding of each underlying ticket issue and identifies the next best action accurately on the spot. Once tickets have been accurately classified, the platform evaluates additional real-time variables before assigning them to the best-matched agents. We also provide reference resources to ensure they have everything needed to resolve the ticket without re-routing or pausing it.