
7 AIAgentic security platform that automates threat detection, investigation, and response across the SOC.
Overview
Key features
- Agentic AI for autonomous threat triage
- Automated alert investigation and enrichment
- Integration with SIEM, EDR, and SOC tools
- Human-in-the-loop oversight controls
- Incident response workflow automation
- Continuous monitoring across security telemetry
Pricing
- Model
- Freemium
- Category
- AI security
- Rating
- 4.5 / 5 (4)
Use cases
Automated Alert Triage
Deploy AI agents to autonomously triage and enrich incoming security alerts around the clock, reducing analyst alert fatigue and surfacing only the most relevant threats.
Accelerated Incident Investigation
Use agentic AI to investigate and contextualize threats across SIEM and EDR data, shortening mean time to respond and helping SOC teams resolve incidents faster.
Continuous SOC Monitoring
Maintain 24/7 monitoring across security telemetry with autonomous agents that detect and respond to suspicious activity while keeping human analysts in oversight roles.
Analyst Productivity Augmentation
Offload repetitive investigation tasks to AI agents so human analysts can focus on complex threat hunting, strategic initiatives, and higher-value security work.
Pros & Cons
Pros
- Automates repetitive SOC tasks and reduces analyst burnout
- Continuous 24/7 monitoring and triage
- Designed to integrate with existing security stacks
- Frees analysts to focus on complex investigations
Cons
- Enterprise focus may not suit smaller teams
- Requires trust and oversight of autonomous agent actions
- Effectiveness depends on quality of integrations and data sources
Reviews
Average from 4 ratings.
Sign in to leave a review.
Does the job
Pretty happy overall. Agentic AI for autonomous threat triage just works and designed to integrate with existing security stacks. Enterprise focus may not suit smaller teams can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Compared a few options
Evaluated this against two competitors. Where it wins: agentic AI for autonomous threat triage and continuous 24/7 monitoring and triage. On balance the feature set — especially automated alert investigation and enrichment — justifies the 5 stars for our use case.
Compared a few options
Evaluated this against two competitors. Where it wins: human-in-the-loop oversight controls and continuous 24/7 monitoring and triage. Where it lags: effectiveness depends on quality of integrations and data sources. On balance the feature set — especially continuous monitoring across security telemetry — justifies the 4 stars for our use case.
Does the job
Pretty happy overall. Human-in-the-loop oversight controls just works and continuous 24/7 monitoring and triage. but no dealbreakers — I'd recommend it to a friend without hesitating.
Q&A
Is 7 AI suited for smaller security teams or only large enterprises?
The platform is built for enterprise‑scale SOCs; smaller teams may find it less fitting due to the need for extensive integrations, data quality, and oversight of autonomous actions.
Asked by Giulia Conti · Jun 22, 2026
How does the human‑in‑the‑loop model work with the autonomous agents?
While agents automatically handle repetitive tasks, analysts supervise decisions through oversight controls, intervening only on higher‑value incidents, which lets teams focus on strategic work while retaining ultimate control.
Asked by Renata Silva · May 20, 2026
Which security tools can 7 AI integrate with, and how does integration affect its threat triage?
7 AI integrates with existing SIEM, EDR, and SOC platforms, pulling data from those sources to enable its autonomous agents to triage, investigate, and enrich alerts using the telemetry already in your stack.
Asked by Xander de Vries · Apr 18, 2026
Ask a question
AI security alternatives

Conversational AI resume builder powered by Claude that generates ATS-optimized resumes from your description

Pattern-encrypted iPhone vault for photos, videos and files with zero-knowledge security.

Automated CAPTCHA-solving API built for high-volume scraping and automation workflows.

Predictive analytics and fraud detection for Web3 wallets, tokens, and dApps.

AI toolbox for optimizing online business performance, security, and marketing workflows.

Automated trust management platform for security and compliance.

AI-driven phishing simulations that train employees and expose human security gaps.

Drop-in authentication and user management for modern web and mobile apps.
Trending now

Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.

Sponsored answers, paid per click.

Accurate Homework Help with Full Explanations

Open multimodal 12B model handling interleaved images and text with a 128K context window.
