7AI is tailored to your environment, workflow, and needs for security that works like you do: fast, adaptive, and focused on outcomes that matter.
Highlighted examples of how 7AI agents are delivering security outcomes today. To learn more about the breadth of 7AI use cases, get a demo.
7AI agents are able to ingest, parse, analyze, and understand whether threat intelligence data is relevant to your environment.
Triggered by alerts from EDR solutions, 7AI agents enrich data, perform investigations, form conclusions, and output results to other systems.
By integrating with cloud security solutions, 7AI agents understand cloud security alerts and perform end-to-end investigations at AI speed.
Alerts from identity solutions spawn AI agents to run agentic investigations with full enterprise context, offloading non-human work.
The 7AI Agentic Security Platform consists of AI agents that perform specific security tasks. Agents are experts at their task, able to understand context, and are bound by architecture to eliminate hallucinations.
7AI agents each have a specific scope, and are able to make decisions, adapt, and improve.
Agents are experts in the specific tasks they are given to perform.
7AI agents have access to tools to analyze, conclude, and complete their mission.
Explore our list of current and planned 7AI agents. Contact your 7AI success team or email product@sevenai.com if you don’t see an agent you need.
Investigates for alerts triggered in proximity to the alert in question.
Gathers data around an incident for investigators.
Identifies bottlenecks and suggests process improvements.
Builds new behavioral signatures for entities based on actions.
Monitors changes in the performance of deployed ML models.
Flags individuals or devices behaving outside typical norms.
Detects time-based anomalies (example: late-night logins).
Tracks trends in workforce activity levels.
Tracks access to sensitive healthcare data to prevent breaches.
Tracks storage and usage of payment data per PCI DSS standards.
Flags violations of internal security or operational policies.
Ensures proper financial controls for Sarbanes-Oxley compliances.
Identifies inconsistencies or unexpected patterns in datasets.
Connects related data points across multiple sources.
Ensures data remains unaltered during storage or transit.
Monitors data storage to ensure retention policies are followed.
Extracts key insights from massive datasets.
Flags unexpected patterns in device activity.
Ensures BYOD usage aligns with security policies.
Identify process execution and network, file, registry, and user logon activity.
Identifies devices that have connected to a domain.
Fetches or identifies the exposure level.
Gathers a summary of a devices’ recent activity, to provide context.
Tracks firmware updates and vulnerabilities.
Fetches the unique device ID using only the hostname.
Monitors behavior specific to IoT devices.
Logs and verifies changes in ownership for devices.
Checks for unusual activity associated with a device post-login.
Analyzes an email’s body, subject, headers, and sender.
Analyzes sentiment within emails for potential insider threats.
Investigates email correspondence between known domains, and examines inbound and outbound email traffic.
Analyzes email headers (SPF, DKIM, and DMARC) to assess email legitimacy.
Rebuilds entire threads to map communication flows.
Flags emails sent without required encryption.
Evaluates the file attachments included in an email.
Extracts and investigates metadata for anomalies.
Identifies if internal users are sending spam externally.
Investigates the identity and role of an email recipient, gathers if links were clicked, or attachments downloaded.
Tracks access patterns to detect unusual or bulk access.
Flags files attempting to evade detection through obfuscation.
Determines if files are malicious, suspicious, benign, or unknown.
Monitors adherence to file sharing policies within the organization.
Flags files that deviate significantly from normal sizes.
Identifies files where the type doesn’t match the extension or content.
Investigates file hashes (MD5, SHA1, and SHA256).
Investigates alert evidence for a file using its SHA1 hash.
Automates network isolation of compromised systems.
Identifies the root cause of a security incident.
Suggests tailored responses to specific types of attacks.
Automatically carries out predefined incident response playbooks.
Collects evidence for detailed post-incident analysis.
Monitors and investigates traffic patterns related to CDNs.
Identifies suspicious DNS tunneling activity.
Evaluates a domain’s reputation by checking certificates, registration age, and more.
Resolves the domain name to an IP address to further investigate.
Investigates the reputation of an external IP address.
Identifies public services at the domain’s IP and categorizes them.
Detects anomalous usage of standard network protocols.
Flags potential scanning attempts on internal/external networks.
Investigates internal processes linked to network traffic with an external IP.
Extracts the Top Level Domain+1 from a URL to identify the root domain.
Determines whether URLs pose a threat to user accounts or data.
Tracks and reports VPN usage patterns for security compliance.
Monitors inventory and usage of IT assets.
Ensures all software is properly licensed.
Tracks and applies necessary software updates.
Ensures critical services remain operational.
Detects and reports on unauthorized changes to configurations.
Identifies exposed services, devices, and domains within the organization’s attack surface.
Simulates delivering malicious payloads through email, USB drives, or download links.
Creates mock Command & Control infrastructure to test detection capabilities.
Tests brute-force attacks by simulating password spraying across multiple accounts.
Mimics data extraction through unauthorized channels like DNS tunneling or HTTP.
Simulates endpoint attacks, such as malware delivery or exploitation of local vulnerabilities.
Executes known exploits on test systems to evaluate their exposure to vulnerabilities.
Mimics lateral movement across devices to test internal defenses.
Creates realistic phishing email campaigns to test employee susceptibility.
Simulates malicious port scans to identify open and vulnerable ports.
Tests potential privilege escalation paths within systems.
Simulates social engineering attacks, such as impersonating employees or third-party vendors.
Simulates OWASP Top 10 attacks (such as SQL injection, XSS) on web apps.
Tests wireless network security with attacks like deauthentication or packet sniffing.
Tracks chatter or leaked credentials on dark web forums.
Maps connections between malware variants and campaigns.
Builds profiles on known threat actors based on observed activity.
Consolidates intelligence feeds to provide actionable insights.
Monitors for patterns indicative of zero-day exploit attempts.
Detects deviations in user access patterns.
Tracks long-term shifts in user behavior.
Flags potential credential sharing scenarios.
Tracks and reports changes in group membership for users.
Investigates unusual activity associated with the user post login.
Monitors and investigates unauthorized privilege escalations.
Confirms with a user, via connectors, about their login activity relative to an alert.
Analyzes email activity and metadata to provide context around a user's communications.
Reviews the login patterns of the user to identify suspicious activity.
Determines the role and context of a user within an organization.
Scans for vulnerabilities in internally developed software or APIs.
Focuses on vulnerabilities specific to cloud environments like misconfigurations or excessive permissions.
Identifies deviations from secure baseline configurations.
Analyzes Docker and Kubernetes containers for known vulnerabilities.
Detects risks like unpatched database engines or weak authentication settings.
Monitors firmware versions on devices for vulnerabilities.
Checks public exploit databases to track weaponized vulnerabilities.
Validates if discovered vulnerabilities are truly exploitable in the environment.
Scans networks for weaknesses like misconfigured devices or outdated protocols.
Tracks vulnerabilities in open-source components used by the organization.
Tracks and ensures that critical patches are applied across all systems.
Integrates findings from manual pen testing with automated vulnerability scans.
Tracks progress on remediating vulnerabilities and highlights overdue actions.
Prioritizes vulnerabilities based on severity, exploitability, and potential impact.
Monitors vulnerabilities in third-party services or libraries.
Scans systems for known vulnerabilities using public databases like CVE.
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.
Find out how 7AI can transform your security operations with swarming AI agents.