About Uptycs
Uptycs sells a unified security analytics platform for continuous threat exposure management across cloud, workloads, containers, and endpoints. Uptycs unifies cloud posture, workloads, containers, Kubernetes and identity with real-time correlation, context and AI. Uptycs uses one shared data model to connect every layer of a customer environment. Uptycs covers cloud, containers, and endpoints through a single UI and data model. Uptycs detects and responds across cloud, endpoint and identity with correlated telemetry and threat context.[6]
Juno AI is embedded within the Uptycs platform, where it interprets detections and correlates signals. Juno plans and runs investigations end-to-end using unified security data. Juno shows which assets are affected and which are not. Juno turns technical findings into contextual summaries. Juno AI operates within the Uptycs environment and does not use customer telemetry to train external models. Uptycs queries a customer SIEM, ticketing system, identity provider and repos where they already are.[6]
Uptycs CNAPP provides a view of malicious activity discovered in a cloud environment. Uptycs uses an optional sensor in virtual machines to detect an attacker executing AWS commands with the AWS CLI. Uptycs scans process memory and files on disk with Yara rules to detect 700+ malicious toolkits. Uptycs maps malicious activity to the MITRE ATT&CK Framework and correlates it with threat intelligence. Uptycs provides context and evidence around what happened, when it happened, how it happened and who was responsible. Remediation actions in Uptycs include killing a process, carving process memory, deleting a file and quarantining the host. Uptycs uses an LLM to summarize malicious activity from all signals contributing to a detection. Uptycs analyzes network activity for up to 90 days to recommend security group configurations based on observed traffic. Uptycs provides recommendations to rightsize IAM policies after observing usage of Roles, Users, Keys and Permissions.[7]
Uptycs lets users run live investigations across their infrastructure from a SaaS console. Uptycs stitches together telemetry from endpoints, Kubernetes nodes and cloud resources. Uptycs lets users carve files and process memory to a laptop for forensic investigation.[7]
Uptycs extends CSPM with real-time cloud asset discovery and inventory mapping. Uptycs assesses network and identity relationships and correlates security findings across hybrid and multi-cloud environments. Uptycs scans Infrastructure as Code templates such as Terraform and CloudFormation to identify misconfigurations early in the development lifecycle. Uptycs correlates vulnerabilities, misconfigurations, runtime behavior, sensitive data, and identity risks to show potential attack paths to high-value assets. Uptycs runs the same compliance scanning on any enrolled cluster, whether EKS, GKE, AKS, or self-managed. Uptycs compliance scanning runs every 6 hours and is configurable. Uptycs traces runtime detections back to the originating code and configuration changes.[8][9][10]
Uptycs discovers sensitive data continuously and assesses risk with context for cloud workloads. Uptycs combines agentless scanning with ML-powered content analysis to discover and classify sensitive data across cloud assets. Uptycs classifies sensitive information across cloud environments by analyzing context, content, and metadata patterns. Uptycs correlates data sensitivity with exposure vectors, attack paths and infrastructure vulnerabilities. Uptycs identifies anomalous and behavioral indicators of data exfiltration attempts by insider threats or external actors. Uptycs CWPP offers unified visibility and real-time threat detection for hybrid and multi-cloud environments.[1][2][6][7][9][11][12]
Uptycs on the record