Echo: The First AI SOC Platform Purpose-Built for Linux and Kubernetes. From Kernel to Verdict.
Runtime detection and response for Linux, Kubernetes and cloud, with AI agents that run your Level 1 and Level 2 security operations. Echo's eBPF agent records every process and connection as it happens. With that full context, Echo's AI catches what other tools miss, screens out false positives, stops attacks in progress, and sends your team only what needs their attention.
Eco
For SOC teams, CISOs, telecom operators, IBM Power shops, MDRs, MSSPs, government, and anyone who has to prove what happened.
Your Analysts Live in Noise. Echo Starts From the Whole Story.
A SOC analyst's day is thousands of alerts, most of them false positives, each a fragment to piece together from logs and consoles. Echo doesn't start from alerts. It starts from the complete causal chain, so there is nothing to piece together and nothing to guess.
An Analyst's Queue Today
❑Are these related? Who started it? Which pod? Was it a routine release? An analyst has to piece it together by hand, and an AI reading the same alerts has to guess.
What Echo Reads
✓The same activity, recorded as it happened and linked by cause and effect. Echo reasons over facts, and you can check each one.
AI models are becoming a commodity. Complete, causal runtime data is not.
An AI Is Only as Good as Its Data.
Traditional security tools see only part of the picture, leading to missed attacks, false positives, and immense work for incident response. With complete, audit-quality ground truth data, linked by cause and effect, an AI can automatically work out what actually happened.
Turn that insight into a real-time system that gathers the data, links it by cause, identifies suspicious activity, and uses AI to decide whether it is malicious.
Record every process, connection, and file access across thousands of hosts in an enterprise, link it into a massive graph that captures context around events, and store it for 90 days, keeping host CPU consumption under 2%.
Use cost-effective, local AI models that understand Linux, Kubernetes and cloud systems to do expert SOC analysis.
The first AI SOC Platform to realize the vision.
Other Tools Turn Signals Off So Humans Can Keep Up. Echo Keeps Them On.
An attack rarely starts with the damage. After initial access, which may come through a known exploit, a zero-day with no signature, or quietly abused credentials, attackers look around. They run reconnaissance, escalate privileges, set up persistence and make small lateral moves. Only later do they act on their objectives.
Detections for that middle stretch exist, but they are noisy and hard to tune, so SOC teams turn them off or learn to ignore them. Most tools catch an attack at the front door, if the exploit is known, or at the end, when the damage is already under way.
Signals only overwhelm a SOC when people have to read them. Echo's AI agents review every one with full causal context, keep the middle-stage signals on, and link them into one trace, so Echo can respond before the attacker reaches their goal.
Watching Every Event. Surfacing the Activity That Matters.
Echo is a real-time system, not a batch job. Each event updates the causal graph the moment it happens, and every stage after it runs continuously.
Level 1 and Level 2, Done. Your Team Starts at the Answer.
Malicious. contractor-17 opened an interactive shell inside web-7f9c through kubectl exec, connected out to an unrecognized host and tried to read /etc/shadow. No release or change ticket matches.
✓ Killed pod; cluster self-healed
❑ Rotate the web-7f9c service-account token
"It's like magic. Echo hands our analysts an audit-ready report backed by a complete dossier on the attacker activity."
Five Days of Guessing With Other Tools. Minutes to Evidence With Spyderbat.
An overnight outage took a customer's Kubernetes cluster offline when TLS connections started failing. Splunk, Datadog and their EDR showed nothing useful. After five days of troubleshooting, and a contractor denying any change, DevOps escalated to security.
Within Minutes, Spyderbat Showed
"Spyderbat has distinct components that allow you to see things as they were, as they are, and how they should be."
"Spyderbat is an amazing option for companies looking for rich Kubernetes specific runtime protection."
An AI SOC Platform That Owns Its Data and Acts on It.
Kernel-Level Data You Control
Every user and system action, visualized and instantly replayable, for 90 days.
Caught While They Unfold
Insider abuse, misconfiguration, zero-days and known vulnerabilities, detected and answered while the attack is still unfolding.
Guardrails and Automated Response
Learns each application's normal behavior and blocks drift. Built-in and custom actions block IPs or kill pods so the cluster self-heals.
1 in 260 Million Reached a Person
That was one day in our own environment. Everything else was triaged, investigated or set aside automatically.
Your Data Stays Yours. Deploy Where You Want.
Echo Is the AI SOC Platform, Purpose-Built for Linux and Kubernetes.
Most security expertise, and most security tooling, grew up on Windows endpoints. Echo was built for the infrastructure modern businesses actually run on: Linux servers, the Kubernetes clusters built on them, and the cloud they run in.
Every Server, Bare Metal to Cloud
RHEL, Ubuntu, Amazon Linux, Debian, Rocky and more, on x86, ARM and IBM Power.
Clusters, Pods and Control Plane
Follow an attack across VMs, pods, namespaces and nodes, back to the workload and the person or process that started it.
AWS, Hybrid and Multi-Cloud
Runtime activity joined with cloud context such as IAM roles and tags.
The AI You're Putting Into Production
Model servers, agents and pipelines run on Linux and Kubernetes too. See every process, file and connection an agent touches.
The Best Test Is Your Own Data.
Each shape is something that happened, connected to what caused it. Hover one to see what it is and how it connects to the rest of the attack.
The Kubernetes machine where everything below ran. Every step in this trace happened on it.
Led to: sshd · contractor-17The login. contractor-17 connected by SSH at 13:58. Everything below traces back to this session.
Caused by: Kubernetes node · Led to: kubectl execcontractor-17 opened an interactive session inside a running production container. A normal admin tool, and a common way in. On its own, too noisy for most SOCs to alert on.
Caused by: sshd · contractor-17 · Led to: containerd-shimThe container runtime starting the requested command inside the pod. It links the host side of the trace to the container side.
Caused by: kubectl exec · Led to: Container contextNamespace prod, pod web-7f9c, container nginx. Echo attaches this context to every process inside, so you always know where it ran.
Caused by: containerd-shim · Led to: nginx worker · pid 4127The web server. It serves pages and has no reason to start a shell.
Caused by: Container context · Led to: bash -iShell from web server. An interactive shell spawned by nginx. Linked to what came before, it is clearly wrong.
Caused by: nginx worker · pid 4127 · Led to: DNS lookup, connection to :4444, cat /etc/shadowA lookup of rare-domain.example, a rarely seen domain. On its own, this is the kind of faint signal most tools switch off.
Caused by: bash -iOutbound connection on an unusual port. This is the reverse shell, the attacker's remote control. Echo blocked this IP automatically.
Caused by: bash -i · Led to: 203.0.113.44Credential access. An attempt to read stored password hashes.
Caused by: bash -iThe attacker's server, outside your network. The dotted line shows the connection leaving the cluster.
Caused by: connection to :4444