Page 2 | Top Artificial Intelligence Software for Splunk Cloud Platform in 2025

Find and compare the best Artificial Intelligence software for Splunk Cloud Platform in 2025

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Use the comparison tool below to compare the top Artificial Intelligence software for Splunk Cloud Platform on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

1

StrikeReady

StrikeReady

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StrikeReady introduces the first-of-its-kind unified, vendor-agnostic security command center powered by AI, designed to enhance, centralize, and expedite an organization's threat response efforts. This innovative platform elevates the capabilities of the entire security team by aggregating, scrutinizing, and operationalizing security data from across the organization's comprehensive security technology stack. By equipping security teams with actionable insights, StrikeReady promotes quicker and more informed decision-making through real-time, comprehensive visibility across a dynamic security landscape. As a result, Security Operations Center (SOC) teams can shift their focus from reactive measures to proactive defense strategies, enabling them to stay one step ahead of ever-evolving threats. The advent of this groundbreaking, AI-enhanced command center is fundamentally transforming the operational dynamics of SOC teams and their defensive strategies. Furthermore, the platform's unique vendor-neutral approach ensures a seamless and cohesive overview of the entire security operation, making it an invaluable asset for modern organizations.
2

Amplifier Security

Amplifier Security

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AI-driven self-healing security solutions for your workforce integrate human-in-the-loop automation to effectively bridge the gap between security measures and workforce engagement. By adopting a contemporary approach to workforce security, businesses can leverage the synergy of AI and their personnel to enhance overall security. Eliminate the hassle of managing spreadsheets and pursuing employees, allowing for rapid resolution of security concerns. Collaborate with employees to implement security controls, ensuring that productivity remains intact. Utilize your current security tools to identify vulnerabilities and execute remediation efforts efficiently. Our goal is to realign the cybersecurity focus to encompass both technology and the individuals who operate it, fostering a harmonious and secure business environment. This dual focus not only strengthens defenses but also empowers employees to contribute actively to the security landscape.
3

Vorlon

Vorlon

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Achieve ongoing near real-time detection and identification of data in transit between third-party applications, equipped with remediation capabilities. Failing to consistently monitor third-party APIs may unwittingly give attackers an average of seven months to exploit vulnerabilities before you can identify and resolve an issue. Vorlon offers continuous surveillance of your third-party applications, detecting unusual activities in near real-time by processing your data every hour. Gain a clear understanding of the risks associated with the third-party apps utilized by your Enterprise, along with actionable insights and recommendations. You can confidently report progress to your stakeholders and board, ensuring transparency. Enhance visibility into your external applications and swiftly detect, investigate, and respond to unusual activities, data breaches, and security incidents as they occur. Additionally, assess the compliance of the third-party applications your Enterprise relies on with relevant regulations, providing stakeholders with solid proof of compliance. Maintaining effective security protocols is essential for safeguarding your organization against potential threats.
4

Veriti

Veriti

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The Veriti platform, powered by AI, actively oversees and effectively addresses security vulnerabilities throughout the entire security framework without interfering with business operations, starting from the operating system level and extending upwards. With full transparency, you have the ability to quickly eliminate threats before they materialize. Veriti integrates all configurations to create a foundational security baseline, and it then correlates various data sources such as telemetries, CAASM, BAS, vulnerability management solutions, security logs, and intelligence feeds to identify misconfigurations that could lead to exposures. This automated process allows for a non-intrusive evaluation of all security settings. You'll gain direct insight into your risk posture and all available remediation strategies, which include compensating controls, Indicators of Compromise (IoCs), and necessary patches. Consequently, your team can make well-informed security decisions. The most effective remediation occurs before vulnerabilities can be exploited. By utilizing advanced machine learning techniques, Veriti not only predicts the potential ripple effects of any remediation action but also evaluates the possible impacts, ensuring that your security measures are both proactive and strategic. As a result, your organization can maintain a robust security posture in an ever-evolving threat landscape.
5

Dell AI-Ready Data Platform

Dell

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Specifically designed to deploy AI seamlessly across all types of data, our solution maximizes the potential of your unstructured information, enabling you to access, prepare, train, optimize, and implement AI without constraints. We have integrated our top-tier file and object storage options, such as PowerScale, ECS, and ObjectScale, with our PowerEdge servers and a contemporary, open data lakehouse framework. This combination empowers you to harness AI for your unstructured data, whether on-site, at the edge, or in any cloud environment, ensuring unparalleled performance and limitless scalability. Additionally, you can leverage a dedicated team of skilled data scientists and industry professionals who can assist in deploying AI applications that yield significant benefits for your organization. Moreover, safeguard your systems against cyber threats with robust software and hardware security measures alongside immediate threat detection capabilities. Utilize a unified data access point to train and refine your AI models, achieving the highest efficiency wherever your data resides, whether that be on-premises, at the edge, or in the cloud. This comprehensive approach not only enhances your AI capabilities but also fortifies your organization's resilience against evolving security challenges.
6

Observo AI

Observo AI

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Observo AI is an innovative platform tailored for managing large-scale telemetry data within security and DevOps environments. Utilizing advanced machine learning techniques and agentic AI, it automates the optimization of data, allowing companies to handle AI-generated information in a manner that is not only more efficient but also secure and budget-friendly. The platform claims to cut data processing expenses by over 50%, while improving incident response speeds by upwards of 40%. Among its capabilities are smart data deduplication and compression, real-time anomaly detection, and the intelligent routing of data to suitable storage or analytical tools. Additionally, it enhances data streams with contextual insights, which boosts the accuracy of threat detection and helps reduce the occurrence of false positives. Observo AI also features a cloud-based searchable data lake that streamlines data storage and retrieval, making it easier for organizations to access critical information when needed. This comprehensive approach ensures that enterprises can keep pace with the evolving landscape of cybersecurity threats.
7

NVIDIA DGX Cloud Serverless Inference

NVIDIA

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NVIDIA DGX Cloud Serverless Inference provides a cutting-edge, serverless AI inference framework designed to expedite AI advancements through automatic scaling, efficient GPU resource management, multi-cloud adaptability, and effortless scalability. This solution enables users to reduce instances to zero during idle times, thereby optimizing resource use and lowering expenses. Importantly, there are no additional charges incurred for cold-boot startup durations, as the system is engineered to keep these times to a minimum. The service is driven by NVIDIA Cloud Functions (NVCF), which includes extensive observability capabilities, allowing users to integrate their choice of monitoring tools, such as Splunk, for detailed visibility into their AI operations. Furthermore, NVCF supports versatile deployment methods for NIM microservices, granting the ability to utilize custom containers, models, and Helm charts, thus catering to diverse deployment preferences and enhancing user flexibility. This combination of features positions NVIDIA DGX Cloud Serverless Inference as a powerful tool for organizations seeking to optimize their AI inference processes.
8

100x

100x

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100X is an advanced platform powered by artificial intelligence, designed to effectively troubleshoot intricate software systems by autonomously examining tickets, alerts, logs, metrics, traces, code, and knowledge in order to identify and resolve issues. It follows a multi-stage approach that includes establishing a detailed knowledge graph by connecting to your environment, thoroughly investigating each alert or support ticket received, dynamically querying telemetry data, and correlating signals across various systems to isolate specific problems backed by evidence. Furthermore, it recommends reliable solutions complete with pertinent context and continuously learns from every resolution by recording commands, fixes, and failure patterns identified by your team. With seamless integration capabilities with tools such as Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, 100X can be deployed within your cloud infrastructure, guaranteeing that all data is accessed, processed, and retained solely within your cloud environment. This fosters a secure and efficient troubleshooting process that adapts to evolving challenges in software management.
9

Deductive AI

Deductive AI

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Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.
10

Synergy

Unframe

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Synergy serves as an AI-driven command center designed for enterprise IT operations, consolidating fragmented monitoring, ticketing, logging, and documentation into a cohesive interface. By continuously integrating data from tools such as Splunk, New Relic, Jira, ServiceNow, and Confluence, it transforms overwhelming alert storms into well-organized, prioritized insights. Its Smart Incident Workflows streamline routine processes, recommend subsequent actions, identify ownership gaps, and expedite resolutions, thereby reducing the average time for detection and repair. Additionally, Synergy’s proactive monitoring capabilities identify potential risks ahead of conventional alerts, highlight error surges and missed escalations, detect emerging trends, and respond to investigative inquiries using natural language. Furthermore, its integrated root cause analysis tracks incidents comprehensively across timelines, logs, metrics, tickets, and post-mortem evaluations, connecting to related events for immediate context and producing succinct summaries to aid in understanding. Overall, Synergy enhances operational efficiency and effectiveness for IT teams, ensuring they remain ahead of potential issues.
11

Cisco AgenticOps

Cisco

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AgenticOps represents a revolutionary approach that is reshaping enterprise IT operations to align with the requirements of an AI-centric future, utilizing AI agents to convert real-time telemetry, automation, and extensive domain expertise into smart, comprehensive actions that manage workflows across networking, security, and applications within a cohesive platform. Central to this innovation is Cisco’s Deep Network Model, a specialized large language model developed from over four decades of Cisco knowledge, which includes CCIE-level insights, CiscoU educational materials, and practical operational experiences, and has been enhanced through reinforcement learning, chain-of-thought reasoning, and test-time scaling to ensure both accuracy and speed. This sophisticated engine drives AI Canvas, the first generative user interface designed specifically for cross-domain IT operations, which synthesizes live telemetry data into a smart workspace. Users benefit from the integrated Cisco AI Assistant, enabling them to engage in natural language conversations to troubleshoot problems, investigate alternatives, identify root causes, and take corrective measures. This seamless integration of various functionalities enhances operational efficiency, allowing teams to respond swiftly and effectively to evolving challenges. Ultimately, the combination of these advanced technologies paves the way for a more agile and responsive IT environment.
12

CardinalOps

CardinalOps

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The CardinalOps platform functions as an AI-driven solution for managing threat exposure, offering organizations a comprehensive perspective on their prevention and detection mechanisms across various domains such as endpoint, cloud, identity, and network. By consolidating insights from misconfigurations, insecure internet-facing assets, absent hardening measures, and deficiencies in detection or prevention, it delivers a complete overview of vulnerabilities and prioritizes necessary actions based on business relevance and adversary strategies. The platform actively aligns its detections and controls with the MITRE ATT&CK framework, allowing users to evaluate the depth of their coverage and to uncover ineffective or absent detection rules, while also producing tailored deployment-ready detection content through seamless API integration with leading SIEM/XDR systems like Splunk, Microsoft Sentinel, and IBM QRadar. Additionally, its automation and threat intelligence operationalization capabilities enable security teams to address vulnerabilities more swiftly and effectively. Overall, the solution enhances an organization’s ability to respond to threats in a timely manner, ultimately strengthening its security posture.
13

Daylight

Daylight

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Daylight combines cutting-edge agentic AI with top-tier human skills to offer an advanced managed detection and response service that transcends mere notifications, striving to “take command” of your cybersecurity landscape. It ensures comprehensive monitoring of your entire environment, leaving no gaps, while providing context-sensitive protection that adapts and evolves based on your systems and historical incidents, including communications through platforms like Slack. This service boasts an exceptionally low rate of false positives, the quickest detection and response times in the industry, and seamless integration with your existing IT and security tools, accommodating limitless platforms and integrations while delivering actionable insights through AI-enhanced dashboards without unnecessary noise. With Daylight, you receive true comprehensive threat detection and response without the need for escalations, round-the-clock expert assistance, tailored response workflows, extensive visibility across your environment, and quantifiable enhancements in analyst efficiency and response time, all designed to transition your security operations from a reactive stance to a proactive command approach. This holistic approach not only empowers your team but also fortifies your defenses against evolving threats in the digital landscape.
14

7AI

7AI

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7AI is a cutting-edge security platform designed to streamline and enhance the entire security operations lifecycle by utilizing advanced AI agents that swiftly investigate security alerts, derive conclusions, and execute actions, transforming processes that previously consumed hours into mere minutes. In contrast to conventional automation tools or AI assistants, 7AI features specialized, context-aware agents that are carefully structured to prevent inaccuracies and function independently; these agents assimilate alerts from various security systems, enrich and correlate information across endpoints, cloud, identity, email, network, and other sources, ultimately delivering comprehensive investigations complete with evidence, narrative summaries, cross-alert correlations, and audit trails. This platform provides an all-encompassing security solution that ranges from detection to alert triage, effectively filtering out noise and eliminating up to 95–99% of false positives, as well as facilitating investigations through extensive data collection and expert reasoning. Furthermore, it supports unified incident-case management by auto-generating cases, enabling team collaboration, and ensuring smooth handoffs, thus enhancing the overall efficiency of security operations. With its innovative approach, 7AI not only optimizes security processes but also empowers organizations to respond to threats more effectively and efficiently.
15

Apica

Apica

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Apica offers a unified platform for efficient data management, addressing complexity and cost challenges. The Apica Ascent platform enables users to collect, control, store, and observe data while swiftly identifying and resolving performance issues. Key features include: *Real-time telemetry data analysis *Automated root cause analysis using machine learning *Fleet tool for automated agent management *Flow tool for AI/ML-powered pipeline optimization *Store for unlimited, cost-effective data storage *Observe for modern observability management, including MELT data handling and dashboard creation This comprehensive solution streamlines troubleshooting in complex distributed systems and integrates synthetic and real data seamlessly
16

CognitiveScale Cortex AI

CognitiveScale

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Creating AI solutions necessitates a robust engineering strategy that emphasizes resilience, openness, and repeatability to attain the required quality and agility. Up until now, these initiatives have lacked a solid foundation to tackle these issues amidst a multitude of specialized tools and the rapidly evolving landscape of models and data. A collaborative development platform is essential for automating the creation and management of AI applications that cater to various user roles. By extracting highly detailed customer profiles from organizational data, businesses can forecast behaviors in real-time and on a large scale. AI-driven models can be generated to facilitate continuous learning and to meet specific business objectives. This approach also allows organizations to clarify and demonstrate their compliance with relevant laws and regulations. CognitiveScale's Cortex AI Platform effectively addresses enterprise AI needs through a range of modular offerings. Customers can utilize and integrate its functionalities as microservices within their broader AI strategies, enhancing flexibility and responsiveness to their unique challenges. This comprehensive framework supports the ongoing evolution of AI development, ensuring that organizations can adapt to future demands.
17

Cyclops

Cyclops Security

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One of the greatest hurdles in cybersecurity is effectively prioritizing risk, and our cutting-edge solution offers a tailored business framework for your security operations, enabling you to assess the efficacy of your security measures in relation to your specific organizational needs. Cyclops seamlessly integrates with your current security systems through the CSMA methodology, collecting metadata on a variety of threats, vulnerabilities, cloud environments, SaaS applications, and beyond. It further enhances this information by contextualizing it, analyzing the same entities across different integrated platforms. By delivering this context-driven approach to risk assessment, our cybersecurity mesh product empowers you to make informed decisions and concentrate on what truly matters for your business's security posture. Ultimately, this allows organizations to proactively address vulnerabilities while aligning security strategies with business objectives.
18

Conifers CognitiveSOC

Conifers

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Conifers.ai's CognitiveSOC platform is designed to enhance existing security operations centers by seamlessly integrating with current teams, tools, and portals, thereby addressing intricate challenges with high precision and situational awareness, effectively acting as a force multiplier. By leveraging adaptive learning and a thorough comprehension of organizational knowledge, along with a robust telemetry pipeline, the platform empowers SOC teams to tackle difficult issues on a large scale. It works harmoniously with the ticketing systems and interfaces already employed by your SOC, eliminating the need for any workflow adjustments. The platform persistently absorbs your organization’s knowledge and closely observes analysts to refine its use cases. Through its multi-tiered coverage approach, it meticulously analyzes, triages, investigates, and resolves complex incidents, delivering verdicts and contextual insights that align with your organization's policies and protocols, all while ensuring that human oversight remains integral to the process. This comprehensive system not only boosts efficiency but also fosters a collaborative environment where technology and human expertise work hand in hand.
19

AWS DevOps Agent

Amazon

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The AWS DevOps Agent is a solution provided by Amazon Web Services (AWS) that functions as a self-sufficient, continuously operating operations engineer, tasked with identifying and preventing issues within your infrastructure, applications, and deployment processes. This tool autonomously analyzes your application assets and their interconnections, encompassing infrastructure, code repositories, deployment workflows, monitoring tools, and telemetry data, to synthesize information from logs, metrics, traces, deployment activities, and recent code modifications. In the event of an alert, unexpected error surge, or a help request, the DevOps Agent promptly initiates an automated analysis; it conducts incident triage around the clock, performs root-cause examinations, and offers detailed remediation strategies that can seamlessly integrate into team workflows (for instance, through Slack, ServiceNow, or PagerDuty) or directly generate support tickets with AWS. Moreover, this proactive approach ensures that potential issues are addressed before they escalate, enhancing the overall reliability of your systems.