SERA AI brings the security workflow into a single AutoSOC view, from incoming alerts through investigation and response. It provides a clear view of how security operations move through the workflow from signal to action. For fully autonomous investigation and response, see SERA AutoSOC.
Bring incoming security alerts into a clear operational workflow.
Follow the security workflow as alerts move through investigation.
See the operational path from incoming alert through the security workflow.
Keep response visible as the security workflow moves toward action.
Can your SOC see the full path from incoming alert to response?
Alert overload for security teams
Automates alert triage and prioritization
Slow threat detection and response
Speeds real-time threat detection and response
Fragmented visibility across systems
Unifies telemetry from all sources
Complex compliance and audit demands
Simplifies compliance with actionable evidence
Data privacy risks with AI use
Removes sensitive data before any model call
AI that depends on the cloud
Runs on-premises or air-gapped with local models
SERA AI transforms Seceon’s aiSIEM and aiXDR from basic alert tools into proactive intelligence engines offering automated response, real-time insights, privacy, and scalable integrations.
Uses advanced GenAI to monitor security data in real time, proactively detecting threats across network, cloud, and endpoints to prevent damage before they escalate and impact your business.
Lets analysts ask security questions and draft SOAR playbooks in plain English. SERA AI instantly provides context-rich answers using live organizational telemetry, making investigation and insight generation fast and accessible for all teams.
Ranks and prioritizes alerts by confidence and severity, offering actionable step-by-step recommendations to reduce noise, minimize alert fatigue, and help security teams focus on what matters most.
Removes sensitive data such as card numbers, national IDs, keys and passwords before any prompt reaches a model. Its multi-tenant design integrates with 3,000+ connectors and runs in the cloud, on-premises or air-gapped.
Run SERA AI in your cloud, on-premises or air-gapped. Your raw security data stays in your environment.
On-premises, in your cloud or air-gapped, with local models and the same features everywhere.
Raw logs stay in your own cluster and are not sent to outside AI providers.
Card numbers, IDs, keys and passwords are removed before any prompt reaches a model.
Admins can turn AI off. Detection, correlation and response keep running.
Measured results from AI-driven investigation and automation.
70% of incidents are resolved without analyst intervention, so teams can focus on genuine threats.
Automated playbooks contain confirmed threats in under 90 seconds, with guardrails on high-impact actions.
SERA AI provides 24/7 personalized, real-time support, with Seceon engineers reviewing every AI-assisted draft.
At an MSSP partner running 209 customer environments, false alarms fell 93.9% over 15 days.
Explore the robust capabilities of SERA AI in our detailed datasheet. SERA AI is a GenAI-based feature designed to enhance our aiSIEM, by offering advanced, AI-driven insights.
Click below to access our datasheet and see how SERA AI can help your organization modernize compliance and achieve audit-ready confidence across 20+ frameworks.
Download DatasheetGet clear answers about how Seceon SeraAI helps security teams investigate threats, automate response, reduce analyst workload, and keep security data in their own environment.
Seceon SeraAI is the AI intelligence layer embedded across the Seceon OTM platform. Unlike a standalone chatbot, it is designed for security operations, allowing analysts to investigate threats using natural language, automate response workflows, generate SOAR playbooks, and support autonomous alert investigation and resolution.
Yes. SeraAI allows analysts to investigate security activity using plain-language questions instead of requiring knowledge of a specific query language. Analysts can ask questions about threats such as lateral movement, and SeraAI can investigate across security data sources while supporting contextual follow-up questions.
SeraAI helps reduce analyst workload by autonomously investigating, validating, and resolving routine Level 1 (L1) alerts. It can escalate confirmed true positives with investigation context already attached, helping analysts spend more time on genuine security incidents instead of repetitive alert triage.
Yes. SeraAI can convert a natural-language description of a security response into a production-ready SOAR playbook. This allows security teams to describe the desired response in plain language and automate the creation of response workflows.
Yes. SeraAI runs on-premises, in a sovereign or customer cloud, or fully air-gapped, with local models and the same features in every deployment. This helps organizations keep security and operational data within their controlled environment rather than depending on external AI services.
Raw logs and payloads stay in your own cluster and are not sent to external model providers. Before any prompt reaches a model, sensitive data such as card numbers, national IDs, cloud keys, tokens, and passwords is removed. With local models, no outbound traffic is required.
Yes. Collection, detection, correlation, alerting, and SOAR playbooks run without the AI layer, so monitoring continues if a model or gateway cannot be reached. Administrators can also turn SeraAI off deliberately, for example if a model is suspected of being compromised.
SeraAI is the assistant analysts work with: it answers questions in plain English, helps investigate threats, and drafts SOAR playbooks. SERA AutoSOC is the autonomous layer that investigates, scores, and resolves cases within guardrails you define, with human approval available for high-impact actions.
SeraAI can help security teams automate incident-reporting workflows by using natural-language interaction to support evidence compilation, incident investigation, and timeline reconstruction. This can help teams prepare regulatory incident information more efficiently when responding to applicable reporting requirements.
