Fortinet, Inc.

Alert generation and augmentation using a large language model (‘LLM’)

Predicting attack paths using code analysis

Automating remediation actions in a cloud environment

Using generative artificial intelligence with asset tagging for code security

Generative artificial intelligence-based multi-stage composite event processing

Generating the ancestry of a deployment in a cloud environment

Ssh lineage table-based tracking of user login sessions

Using user feedback for alert generation in an anomaly detection framework

Compute environment security monitoring using a live state snapshot of a compute resource

Ensuring exactly once data ingestion

Browser-based detection of data exfiltration

Providing a security platform that includes a virtual data lake

Notification-based file integrity monitoring of a compute environment

Location-based identification of anomalous activity on a user device

Absolute risk score generation by a data platform

Scoring of events in an edge-based data platform

Machine learning model for managing security threat alerts for a compute environment

Customer onboarding and integration with anomaly detection systems

EXTERNALLY SECURING UNMANAGED DEVICES USING ARTIFICIAL INTELLIGENCE OPERATIONS (AIOPS) FOR NETWORK OPERATIONS

Monitoring the usage of an application at an edge device

Using generative artificial intelligence to interface with a knowledge graph

Cloud compliance monitoring for a cloud compute environment managed by a container orchestrator

Providing generative artificial intelligence (AI)-enabled notebook interfaces for a security framework

Determining directions of connections in monitoring a cloud environment

Tracking and relating discovered security issues over time

Determining user risk based on user posture and activity

Generation of threat intelligence based on cross-customer data

Security graph interface for monitoring a compute environment

Identification by a data platform of secrets misuse by cloud workloads

Risk scoring based on entity correlation

LINK-LEVEL NETWORK VIRTUALIZATION ARCHITECTURE FOR LARGE-SCALE NETWORK FUNCTION VIRTUALIZATION APPLICATIONS

Development and distribution of components for an anomaly detection framework

Anomaly-based on-demand collection of data by an agent for a data platform

Leveraging information gathered using static analysis for remediating detected issues in a monitored deployment

Semantic layer for data platform

Expanding data collection from a monitored cloud environment

Interactive analysis of multifaceted security threats within a compute environment

Detecting package execution for threat assessments

Detecting anomalous behavior of nodes in a hierarchical cloud deployment

Agent-based monitoring of a registry space of a compute asset within a compute environment

Compute resource risk mitigation by a data platform

Containerized agent for monitoring container activity in a compute environment

Kernel-based monitoring of container activity in a compute environment

Capturing and using application-level data to monitor a compute environment

Attack path risk mitigation by a data platform using static and runtime data

Risk engine that utilizes key performance indicators

Tiered risk engine with user cohorts

Handling of certificates by intermediate actors

Initiating and utilizing pedigree for content

Role-based permission by a data platform

Reducing resource consumption spikes in an anomaly detection framework

Attack path risk mitigation by a data platform

TRAINING TRUSTED USERS OF AN ENTERPRISE NETWORK FOR PHISHING ATTACKS ON A PER-USER BASIS

AUTHENTICATION OF DEVICE CONFIGURATIONS FOR AUTHENTICATED DEVICES

Runtime workload data-based modification of permissions for an entity

Activity monitoring of a cloud compute environment based on container orchestration data

AUTOMATIC NETWORK ERROR ROUTING FOR DOWNSTREAM NETWORK HOP ERRORS

Guiding query creation for a generative artificial intelligence (AI)-enabled assistant