THE 7AI PLATFORM
Autonomous AI agents that investigate security alerts, form conclusions, and take action—transforming security operations from hours to minutes.
What makes 7AI different
7AI agents aren't chatbots or copilots waiting for instructions. They're autonomous specialists that investigate alerts, correlate data across your environment, form conclusions, and take action— just like your best analysts, at machine speed.
Each agent is an expert at specific security tasks
Full enterprise context—not isolated alert analysis
Bounded by design to eliminate hallucinations
Make decisions, adapt, and complete their mission
Platform capabilities
From ingestion to response, 7AI handles the full lifecycle of security operations—with AI agents at every layer.
Cases provide a single source of truth for every security incident. AI agents automatically populate cases with investigation findings, correlate related alerts, and maintain a complete audit trail—giving analysts full context without the manual grunt work.
When an alert fires, swarming AI agents spring into action — enriching data, querying your environment, correlating across systems, and forming conclusions. What used to take analysts hours now happens in minutes.
Intelligent alert processing that separates signal from noise before anything reaches your team.
7AI ingests alerts from your security tools, applies AI-powered analysis, and delivers only what matters. Instead of drowning in thousands of alerts, your team sees actionable conclusions with full context and recommended actions.
Flexible remediation options to take action based on investigation conclusions—not just predefined playbooks.
When AI agents determine a threat is real, customers get flexible response options - from suggestions to automated actions. Isolate endpoints, disable accounts, block IPs, trigger custom workflows. Actions are tied to conclusions, not just pattern matching.
Build custom response workflows that match your organization's policies and procedures. Drag-and-drop logic, conditional branching, and integration with your existing tools—no coding required.
Proactive threat hunting powered by AI that lets analysts do the strategic work they were hired for.
With AI agents handling alert triage, your analysts are free to hunt. 7AI provides powerful threat hunting capabilities to uncover threats hiding in your environment.
AI agents that consider enterprise context dynamically at the time of investigation.
7AI's Enterprise Insights captures organizational context to understand your unique policies, drastically reducing false positives by accounting for:
Agent Library
Each 7AI agent is an expert at specific security tasks, continuously expanding to cover new use cases and threat vectors.
Surfaces past alerts on a device and relates them to current activity to detect escalating risk.
Provides contextual data on a device including OS, owner, last activity, and vulnerability exposure.
Resolves multiple device identifiers to a canonical entity to ensure accurate correlation across alert sources.
Investigates the device’s recent activity, active processes, and connections to determine compromise likelihood.
Performs static and dynamic analysis of files, looking for known signatures, behaviors, and propagation patterns.
Traces the origin and modification path of a file across systems to determine source, spread, and potential data exfiltration.
Automates quarantine or deletion of files confirmed to be malicious, using native EDR and endpoint controls.
Determines if files are malicious, suspicious, benign, or unknown.
Correlates IP addresses with known devices, sessions, and user activity to track movement and exposure.
Inspects and interprets command-line arguments used during process execution to identify known attack patterns or scripting misuse.
Analyzes process behavior, ancestry, and execution context to detect suspicious or unauthorized activity on endpoints.
Interrogates Windows registry changes associated with alerts to detect persistence mechanisms or configuration tampering.
Retrieves and analyzes lineage data from SentinelOne to reconstruct the origin and propagation path of detected threats.
Queries recent activity within Splunk Mission Control to identify prior related incidents or alert patterns for context.
Compiles a timeline of events and entities associated with an alert, connecting dots across systems to produce a coherent incident narrative.
Expands and inspects URLs associated with alerts, checking for phishing indicators, downloads, redirects, and reputation.
Inspects login behavior across endpoints and identity providers to identify brute force attempts or session hijacks.
Fetches data from Okta about user identity, group memberships, device associations, and MFA status.
Identifies accounts that granted elevated privileges and assesses whether the action aligns with normal administrative behavior.
Monitors behavior of service and administrative accounts for unusual access patterns or risky command execution.
Analyzes user activity trails to identify deviations from typical behavior and detect signs of credential misuse or insider threats.
Surfaces past alerts tied to the same user and correlates with the current incident to detect patterns of compromise.
Investigates a user's behavioral fingerprint to highlight anomalies in login, device usage, and data access patterns.
Enriches user entities with organizational role, authentication context, and recent access behavior for deeper investigation.
Provides a consolidated identity view of a user across identity providers and activity sources to support correlation.
Compiles login events for a user across systems to flag geographic anomalies, impossible travel, or access outside work hours.
Pulls contextual data from Windows environments about a given user, including group memberships and recent sessions.
Surfaces AWS account-level activity anomalies by profiling user and service actions against baseline behaviors.
Assesses configuration and access logs of AWS Elastic Load Balancers to detect misrouting, DDoS patterns, or privilege misuse.
Aggregates configuration and metadata from AWS resources to assess security posture and ownership.
Surfaces recent activity in Azure environments, identifying anomalous actions across users, service principals, and roles.
Fetches and compiles data from multiple systems in response to investigative prompts, enabling deeper context generation.
Tracks activity within S3 buckets to detect unusual access, modifications, or bulk downloads.
Enriches AWS S3 bucket info with metadata including permissions, access logs, and exposure risk for security review.
Performs semantic analysis on email body and subject for phishing indicators, urgency cues, or social engineering.
Evaluates email content against DLP policies to detect potential exfiltration or inappropriate data handling.
Analyzes patterns of email recipients to detect potential misuse of distribution groups or anomalous communication.
Examines sender metadata and authentication to detect spoofing, typosquatting, or domain abuse.
Fetches the full raw email from the mail server for analysis of headers, links, attachments, and content.
Calculates network and geographic proximity between IP addresses to evaluate possible lateral movement or coordinated attacker behavior.
Investigates and enriches domain-related observables, identifying reputation, WHOIS data, hosting details, and relationships to known threat infrastructure.
Performs enrichment and threat assessment for external IPs, correlating with threat intel feeds and identifying risky infrastructure.
Correlates internal IPs with associated assets and users, tracking movement across the environment for threat triage and attribution.
Aggregates geolocation, ASN, blacklist, and threat intel data for any observed IP address to aid in contextual alert triage.
Evaluates network traffic metadata to uncover anomalies in volume, direction, and communication patterns tied to alerts.
Surfaces past alerts on a device and relates them to current activity to detect escalating risk.
Provides contextual data on a device including OS, owner, last activity, and vulnerability exposure.
Resolves multiple device identifiers to a canonical entity to ensure accurate correlation across alert sources.
Investigates the device’s recent activity, active processes, and connections to determine compromise likelihood.
Performs static and dynamic analysis of files, looking for known signatures, behaviors, and propagation patterns.
Traces the origin and modification path of a file across systems to determine source, spread, and potential data exfiltration.
Automates quarantine or deletion of files confirmed to be malicious, using native EDR and endpoint controls.
Determines if files are malicious, suspicious, benign, or unknown.
Correlates IP addresses with known devices, sessions, and user activity to track movement and exposure.
Inspects and interprets command-line arguments used during process execution to identify known attack patterns or scripting misuse.
Analyzes process behavior, ancestry, and execution context to detect suspicious or unauthorized activity on endpoints.
Interrogates Windows registry changes associated with alerts to detect persistence mechanisms or configuration tampering.
Retrieves and analyzes lineage data from SentinelOne to reconstruct the origin and propagation path of detected threats.
Queries recent activity within Splunk Mission Control to identify prior related incidents or alert patterns for context.
Compiles a timeline of events and entities associated with an alert, connecting dots across systems to produce a coherent incident narrative.
Expands and inspects URLs associated with alerts, checking for phishing indicators, downloads, redirects, and reputation.
Inspects login behavior across endpoints and identity providers to identify brute force attempts or session hijacks.
Fetches data from Okta about user identity, group memberships, device associations, and MFA status.
Identifies accounts that granted elevated privileges and assesses whether the action aligns with normal administrative behavior.
Monitors behavior of service and administrative accounts for unusual access patterns or risky command execution.
Analyzes user activity trails to identify deviations from typical behavior and detect signs of credential misuse or insider threats.
Surfaces past alerts tied to the same user and correlates with the current incident to detect patterns of compromise.
Investigates a user's behavioral fingerprint to highlight anomalies in login, device usage, and data access patterns.
Enriches user entities with organizational role, authentication context, and recent access behavior for deeper investigation.
Provides a consolidated identity view of a user across identity providers and activity sources to support correlation.
Compiles login events for a user across systems to flag geographic anomalies, impossible travel, or access outside work hours.
Pulls contextual data from Windows environments about a given user, including group memberships and recent sessions.
Surfaces AWS account-level activity anomalies by profiling user and service actions against baseline behaviors.
Assesses configuration and access logs of AWS Elastic Load Balancers to detect misrouting, DDoS patterns, or privilege misuse.
Aggregates configuration and metadata from AWS resources to assess security posture and ownership.
Surfaces recent activity in Azure environments, identifying anomalous actions across users, service principals, and roles.
Fetches and compiles data from multiple systems in response to investigative prompts, enabling deeper context generation.
Tracks activity within S3 buckets to detect unusual access, modifications, or bulk downloads.
Enriches AWS S3 bucket info with metadata including permissions, access logs, and exposure risk for security review.
Performs semantic analysis on email body and subject for phishing indicators, urgency cues, or social engineering.
Evaluates email content against DLP policies to detect potential exfiltration or inappropriate data handling.
Analyzes patterns of email recipients to detect potential misuse of distribution groups or anomalous communication.
Examines sender metadata and authentication to detect spoofing, typosquatting, or domain abuse.
Fetches the full raw email from the mail server for analysis of headers, links, attachments, and content.
Calculates network and geographic proximity between IP addresses to evaluate possible lateral movement or coordinated attacker behavior.
Investigates and enriches domain-related observables, identifying reputation, WHOIS data, hosting details, and relationships to known threat infrastructure.
Performs enrichment and threat assessment for external IPs, correlating with threat intel feeds and identifying risky infrastructure.
Correlates internal IPs with associated assets and users, tracking movement across the environment for threat triage and attribution.
Aggregates geolocation, ASN, blacklist, and threat intel data for any observed IP address to aid in contextual alert triage.
Evaluates network traffic metadata to uncover anomalies in volume, direction, and communication patterns tied to alerts.
The 7AI Agentic Security Platform connects to IT and Security tools, enabling agents to enrich, investigate, and form conclusions. The following is a highlighted list of API-based connectors available today.
Abnormal
AbuseIPDB
Alienvault OSSIM
Amazon Cloud Trail
Amazon GuardDuty
Anthropic
AWS
Censys
Chronicle
Cisco Secure
Confluence
Cortex
Crowdstrike
Databricks
Datadog
DNSlytics
Elastic
Gmail
Google Cloud
Google SecOps
Google Workspace
Hybrid Analysis
IBM Radar
IPinfo
Jira
Microsoft 365
Microsoft Azure
Microsoft Entra
Microsoft Excel
Office 365
Microsoft Sentinel
Microsoft Teams
Mimecast
NVD
Okta
PagerDuty
Panther
PhishTank
Proofpoint
Qualys
Reversing Labs
Secureworks
Sentinel One
Servicenow
Slack
Snowflake
Splunk
Spur
Stellar Cyber
Sumo Logic
Tenable
URL haus
Urlscan.io
Virus Total
Wiz
Schedule a conversation with our team. We'll learn about your environment, understand what you're trying to solve, and show you exactly how 7AI transforms security operations.