Pynt vs Stream.Security

About Stream.Security

Stream.Security sells an AI-First platform built to fight AI-enabled attacks. Stream finds the paths through production that are exploitable and closes them itself. Stream Security describes autonomous production defense as the ability to keep adapting as the environment and the attack change. Stream defends production for security teams at scale.^[5][6]

ProductionTwin continuously computes the current state, structure and dependencies of cloud, SaaS, identity, runtime, AI, network, perimeter, on-prem and security controls as one connected system. Stream continuously models cloud environments as they change, unifying configurations, identities, behaviors, and activity. Stream models AWS, Azure, and GCP environments in real time. Cloud, SecOps, and IR teams operate from one shared view. Stream tightens access and permissions, enforces boundaries and guardrails, and corrects configuration. Stream simulates every remediation or response option and validates it in real time.^[7]

Stream produces attack storylines from entry point to blast radius. Stream collects telemetry from cloud audit logs to application APIs with eBPF. Stream maps every event to its originating identity and enriches it with live asset context, risk, IP intelligence, IOC correlation, and MITRE ATT&CK mapping. Stream plants canaries on the paths an attacker is likeliest to take next and tunes its own detections over time. Stream detects agent-driven threats ranging from prompt injection attacks to full privilege escalation by correlating application, identity, and cloud activity within a single, unified timeline.

Stream follows one identity across the entire production estate. Stream correlates hunts across cloud, SaaS, identity, and on-prem as one system, not four consoles. Stream reconstructs workloads that lived for minutes after they are gone. Stream promotes whatever a hunt proves into a permanent detection or canary. Stream contains the attack and remediates the vulnerability. Stream computes the live blast radius and containment options, generating remediation flows before anything executes. Stream simulates every response option against production before it runs. Stream fixes at the least-impact point, which can be perimeter, identity, network, control, or workload. Stream recomputes the path after acting to verify closure.

Stream ingests cloud-native telemetry agentlessly across AWS, Azure, GCP, OCI, Kubernetes, and VMware. For runtime visibility, Stream offers an eBPF sensor that captures network, API, process, and file activity, or integrates with an existing CWP or EDR. Stream Security integrates with identity providers like Azure Entra. Stream Security delivers visibility into source control activity, correlating identity behaviors, configuration drift, and access misuse. Stream Security adds visibility into DBaaS activity, correlating behavior and access misuse. Stream.Security integrates with firewalls and WAFs, correlating security policies with real-time network reachability. Stream Security integrates with endpoint detection and response (EDR) tools. Stream Security integrates with vulnerability scanners to determine the criticality of alerts from the exploitability of assets. Stream enriches logs with threat intelligence sources for IOCs. Cloud logs can be offloaded to Stream Security while a SIEM receives only enriched events and high-confidence alerts. Stream Security provides ticketing integration that lets users open and assign tickets directly from the Stream Security UI. Stream Security provides SOAR platforms with insights into risky activities and enables automated responses.^[1][5][8]