Top 5 AI SOC Analyst Platforms of 2025

The Top 5 AI SOC Analyst Platforms of 2025

As organizations grapple with an unrelenting surge in security alerts and ever-more sophisticated cyber threats, the security operations center (SOC) is undergoing a fundamental transformation. The rise of agentic AI – autonomous, reasoning-driven systems that can triage, investigate, and even remediate threats – promises to redefine how security teams operate. But with a growing field of contenders, it’s challenging to decipher the real differences between solutions and choose the best fit for your needs.

Here, we break down the leading AI SOC analyst platforms of 2025, highlighting their unique strengths, limitations, and where Prophet Security stands out.

1. Prophet Security (Best Overall)

Prophet Security is an AI-native SOC platform that deploys an "Agentic AI SOC Analyst" to autonomously triage, investigate, and respond to security alerts across your environment. Unlike legacy SOAR tools or managed services, Prophet dynamically plans and executes investigations, synthesizes evidence, and delivers actionable recommendations-learning and adapting to your unique environment.

Strengths:

• Full-Stack Integration: Ingests alerts from SIEM, EDR, cloud, and identity tools for unified triage and investigation.
• Autonomous Reasoning: Mimics expert analyst workflows, correlating evidence, reconstructing timelines, and prioritizing real threats.
• Rapid Response: Reduces mean time to response (MTTR) by up to 10x, with explainable, auditable actions.
• Privacy-First: Never uses customer data to train LLMs; all actions are transparent and under your control.
• Continuous Learning: Adapts to analyst feedback, improving accuracy and relevance over time.

Limitations:

• Integration coverage is expanding rapidly for niche environments: Prophet supports a wide range of tools across SIEM, EDR, cloud, and identity ecosystems. For highly customized environments, new integrations are added quickly based on customer demand and use case priority.

Prophet augments your existing security stack, ensuring every alert is investigated thoroughly and consistently, closing the gap between detection and action.

2. Microsoft Security Copilot

Microsoft Security Copilot brings generative AI to the heart of Microsoft’s security suite. As a Copilot, it relies primarily on human input (prompts) to support SOC workflows. Recently, it  introduced agentic capabilities that allow guided triage, threat vetting, and remediation across Defender, Sentinel, Purview, and more. Copilot agents can offload high-volume tasks such as phishing response, vulnerability remediation, and identity protection, learning from feedback and integrating with Microsoft’s Zero Trust framework.

Strengths:

• Deep integration across the Microsoft security ecosystem.
• Expanding agentic automation for repetitive SOC tasks.
• Strong compliance and privacy commitments.

Limitations:

• Limited to Microsoft’s own ecosystem; less extensible for diverse, multi-vendor environments. Vendor lock-in a concern.
• The core of Microsoft Security Copilot is a chat-based solution, requiring prompts. New agentic features are still rolling out, with some capabilities in preview.

3. Charlotte AI (CrowdStrike)

CrowdStrike’s Charlotte AI delivers agentic AI across its Falcon platform, blending intelligent automation with human expertise. Charlotte AI automates detection triage, accelerates investigations, and enables bounded autonomous response, all governed by customer-defined guardrails.

Strengths:

• Deep Falcon platform integration, including Next-Gen MDR.
• Highly traceable and auditable actions.

Limitations:

• Primarily benefits organizations already standardized on CrowdStrike.
• Built on static playbooks from Falcon MDR.
• Requires Falcon Fusion SOAR for some functionality.
• Bounded autonomy means some actions still require human oversight.

4. Purple AI (SentinelOne)

SentinelOne’s Purple AI, now enhanced with “Athena,” has evolved from an LLM-powered chatbot to an agentic AI system capable of real-time detection, triage, and remediation. Purple AI can ingest data from third-party security tools and orchestrate complex workflows using its Singularity Hyperautomation platform.

Strengths:

• Supports third-party integrations and natural language queries in multiple languages.
• Automates investigations and prioritizes threats using OCSF-normalized data.

Limitations:

• Mostly useful when paired with SentinelOne’s native tools.
• Lacks visibility or transparency into the AI’s decision-making or thought process. Community score of similar alerts determines whether an alert is marked as true positive or false positive, lacking native reasoning capabilities
• Doesn’t mimic the investigation methodology of an expert SOC Analyst
• Agentic orchestration is still maturing compared to more established platforms.

5. Darktrace Cyber AI Analyst

Darktrace’s Cyber AI Analyst is a pioneer in agentic AI for security, autonomously investigating alerts, forming hypotheses, and generating full incident reports. Its latest models, like DIGEST and DEMIST-2, use graph neural networks and custom language models for deeper context and faster prioritization.

Strengths:

• Proven scale: 90 million investigations in 2024, equivalent to 42 million analyst hours.
• Advanced incident graphing and contextual understanding.
• Strong in IT/OT convergence and bridging the cyber skills gap.

Limitations:

• Most effective for organizations already using Darktrace’s detection stack. Specifically, Cyber AI Analyst is part of the Darktrace ActiveAI Security Platform. 
• Less visible in competitive bake-offs compared to other top vendors.

Platform Comparison Table

Conclusion

The AI SOC analyst landscape is rapidly advancing, but not all platforms are created equal. Prophet Security stands out for its data-agnostic integration, fast time to deployment and ROI, autonomous reasoning, and privacy-first approach – delivering the speed, depth, and transparency modern SOCs demand. Whether you’re looking to augment your existing stack or leapfrog legacy limitations, Prophet Security is built to help your team do more, faster, and with greater confidence than ever before. Request a demo of Prophet AI today to see it in action.

Frequently Asked Questions

What is an AI SOC analyst platform?
An AI SOC analyst platform is an autonomous security system that replicates the work of human SOC analysts—triaging, investigating, and responding to alerts using technologies like large language models, agentic automation, and machine reasoning. These platforms help security teams move faster, reduce manual toil, and improve detection-to-response timelines.

How does agentic AI improve automated incident response?
Agentic AI enhances incident response by acting independently—gathering evidence, correlating signals, reconstructing timelines, and delivering actionable conclusions without relying on static playbooks. It enables fast, explainable decision-making that scales across all alert types.

What makes Prophet Security stand out among AI SOC platforms?
Prophet Security’s Agentic AI SOC Platform featuring an AI SOC Analyst that autonomously triages, investigates, and responds to alerts. Prophet AI mimics expert investigation workflows, integrates across your existing security stack, and delivers clear, auditable actions without using customer data to train its models. It adapts continuously based on analyst feedback—so results improve over time without needing custom playbooks.

Can Prophet AI work with my existing SIEM, EDR, and cloud tools?
Yes. Prophet Security is built to integrate across common SOC tooling, including SIEM, EDR, cloud, identity, and more. The platform’s integration ecosystem is expanding rapidly, with new connectors added regularly to support customer-specific environments.

Is Prophet AI’s decision-making explainable and trustworthy?
Absolutely. Prophet AI is designed for full transparency. Every action it takes is traceable and auditable, allowing analysts to validate the AI’s logic and conclusions. This is especially critical for compliance, post-incident review, and analyst trust.

How is Prophet different from chat-based copilots like Microsoft Security Copilot?
While copilots rely on prompts and offer support through chat, Prophet’s agentic AI takes full initiative—planning investigations, collecting evidence, and acting autonomously. It doesn’t wait for instructions; it proactively works through alerts from start to finish, reducing the burden on human analysts.