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CybersecurityAI-assisted

5 AI SOC Platforms to Review in 2026

When selecting an AI Security Operations Center (SOC) platform, organizations must consider different AI reasoning approaches. These include autonomous agentic AI reasoning and playbook automation. Agentic AI provides innovative autonomous capabilities,…

MBy Mark JensenDec 03, 20252 min read

When selecting an AI Security Operations Center (SOC) platform, organizations must consider different AI reasoning approaches. These include autonomous agentic AI reasoning and playbook automation. Agentic AI provides innovative autonomous capabilities, while playbook automation offers predictable efficiency and ease of auditing. A combination of these approaches can enhance operational effectiveness.

Prophet Security's platform integrates playbook automation with reasoning-based decision-making. It enables teams to operate efficiently while understanding AI actions.

Strengths:

Investigation Quality: Provides depth and accuracy, mirroring experienced analysts. Agentic Solution: Leverages autonomous AI agents for intelligence gathering, investigation, and reasoning without prebuilt playbooks. Transparent Reasoning: Offers explainable AI decisions, enabling audits and understanding.

Limitations:

Tooling Support: Expanding support for niche tools based on customer needs.

Bricklayer AI provides a multi-agent platform for deploying and governing AI agents, allowing for shared memory and flexibility.

Strengths:

Autonomous Task Execution: AI agents perform security actions, integrate tools, and run playbooks. Long-Term Memory: Retains workflow data for future context and learning.

Limitations:

Cost Tradeoff: Significant effort and infrastructure required for deployment and training.

Conifers.ai's Cognitive SOC platform adapts and refines models using historical data, telemetry, and risk profiles for continuous learning.

Strengths:

Multi-Tenant Architecture: Suitable for MSSPs needing scalable AI capabilities. Agentic AI: Ingests multi-source data for alert enrichment and analysis.

When selecting an AI Security Operations Center (SOC) platform, organizations must consider different AI reasoning approaches.
Mark Jensen · Thehackingpost

Limitations:

No Remediation: Lacks end-to-end remediation workflows.

Trellix Helix XDR integrates AI capabilities with XDR telemetry for threat detection, alert enrichment, and response suggestions.

Strengths:

Mature XDR Ecosystem: Utilizes a developed security stack for enriching AI models. Orchestration Integration: Collaborates with external orchestration tools for enhanced response.

Limitations:

Playbook Workflows: Relies on pre-configured workflows rather than agentic AI.

Cisco XDR and AI Assistant for Security

Cisco's platform provides extensive coverage across various domains, utilizing agentic AI for investigation, triage, and response.

Strengths:

Attack Verification: Uses AI to analyze and correlate threats for verification. Forensics Automation: Triggers automatic forensic evidence collection based on context.

Limitations:

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Cost: High startup and maintenance costs for enterprise-level solutions.

AI SOC Platform Best For Agentic AI Usage Playbook Automation Unique Feature

Prophet Security Future-ready SOCs Autonomous AI agents Combines with AI reasoning Transparent, explainable reasoning

Bricklayer AI Multi-agent orchestration Executes tasks and integrates tools Autonomous playbook execution Long-term memory for learning

Conifers.ai MSSPs or adaptable SOCs Ingests multi-source data Automatic false positive closure Continuous learning scalability

Trellix Helix XDR Mature XDR environments Threat detection and enrichment Integrates with orchestration tools Enterprise-grade ecosystem

Cisco XDR Wide coverage needs Investigation and verification Automatic response triggering Broad coverage and forensics

Organizations can benefit from both agentic AI and playbook automation by combining their strengths. The trend towards agentic AI is growing, and organizations should consider its implications when investing in AI SOC platforms.

What is an AI SOC? An AI SOC leverages automation and AI to enhance threat detection, investigation, and response.

What are the benefits of agentic AI? Agentic AI offers adaptive decision-making, handles complex tasks, and reduces investigation time.

Will agentic AI replace human analysts? No, AI SOCs require human oversight for effective and safe operations.

What are the benefits of transparent decision-making? Transparency in AI SOC decisions increases trust and allows for audits and verification.

Based on reporting by TechBullion.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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