See the whole attack. Investigate it for you. In your own cloud.
Yeti normalizes every source to one open schema, watches it four different ways, and puts a frontier agent on top to investigate. Every event is retained losslessly and verified, and none of it leaves your environment.
Four ways in, so nothing gets a free pass.
Every source is normalized to one open schema first, so a detection written once works everywhere. Then four independent methods run against it, each catching exactly what the others cannot.
Root credentials used, audit logging turned off, a storage bucket made public, an admin policy attached out of nowhere. The actions that are never routine surface the moment they land, with no tuning window.
A burst of failed sign-ins that finally succeeds. Access that walks from one system to the next. Sequences are read in the order things actually happened, so the story holds up on replay and in a courtroom.
The platform learns each user and host, then flags what does not fit them: a first-ever sign-in location, a jump between two places too far apart to be real, a volume spike measured against its own history, not a global guess.
Risk builds up per user, host, and address as signals stack. You get a single, high-confidence incident when it crosses the line, ranked by how much of an attack chain it represents, so analysts work what matters instead of drowning in alerts.
The whole security surface, into one correlated view.
Purpose-built OCSF parsers across cloud, identity, endpoint, network, and email feed the same pipeline, tagged to MITRE ATT&CK so coverage gaps are visible, not guessed.
CloudTrail, VPC Flow, Route 53, GuardDuty, WAF, Azure AD, Azure VNet Flow, GCP Cloud Audit
Okta, OneLogin, Duo, CyberArk
CrowdStrike, Defender, SentinelOne, Sysmon, Windows, macOS, Linux, auditd, sshd
Palo Alto, Fortinet, Cisco ASA, Cisco AAA, Juniper, Zeek, web proxy, honeypot
Proofpoint, Veeam, JVM, and a documented path to add any source
The first hour of the work, already done.
The agent is scoped to your tenant by the auth layer, not by anything it can widen. It reads on its own; every action that changes something waits for a human to confirm.
The agent queries logs, traces, and metrics itself, correlates across sources, and returns root cause with the evidence attached.
Natural language is translated into the query the engine runs, so an analyst does not need to know the query dialect to hunt.
Draft a detection from a described behavior, check rule health, and map coverage against ATT&CK techniques.
Describe the dashboard you want and the agent plans and dry-runs it before anything is created.
A containment action with a who, what, and when written to a durable audit trail.
Push to Linear, Jira, or ServiceNow from the incident, with the context pre-filled.
Turn an investigation into a query-backed alert that watches for the pattern going forward.
Forward into the SIEM you already run.
Put Yeti in front as the lossless capture and normalization tier. Normalized events can be shaped into the native schema of your existing platform, so nothing is a forklift migration and nothing you rely on today goes dark.
Events land in native ASIM tables, queryable and alertable from the first event, not as a generic custom-log blob.
The same events reshaped into UDM and routed to the right event type for Chronicle.
Syslog forward to whatever you already run. A convenience copy; the lossless evidence tier stays the source of truth.
Incidents are throttled and de-duplicated before they page anyone, using the official Slack and PagerDuty payload formats and a generic webhook for SOAR.
STIX / TAXII / MISP feed sync and AbuseIPDB enrichment. Indicators are matched against the live stream as events arrive.
Retrohunt: take a new indicator and sweep it across everything you have retained. Because nothing was dropped, the answer to “have we ever seen this?” is real.
Two questions every regulated buyer asks first.
Your keys, your cloud
BYOC across AWS, Azure, and GCP with BYOK. Data and keys stay behind a one-way tenant boundary the control plane cannot cross.
ExploreLossless & audit-grade
SHA-256 on every chunk, zero sampling, a round-trip self-check before storage, and detections stored as queryable evidence.
ExploreAuditors don’t accept “approximately”.
Filtering, deduplication, and AI summarization all share the same fatal flaw: when the investigator, the auditor, or the court asks for the original record, it’s already been deleted in the name of cost savings. Sasquatch preserves every byte — and proves it with a cryptographic checksum on every event.
Auditor: “Where are the rest of the events? What was in them?” The answer is you don’t know — they were deleted upstream.
Auditor: “This is fine.” Original bytes, cryptographically attested. That’s the whole audit.
Every security event captured, every privileged action traceable — across every microservice, every day.
Complete PHI access trails. No gaps, no summarization. BAA obligations satisfied byte-for-byte.
Tamper-evident records across the cardholder data environment. Every authorization and admin action intact.
Full data fidelity across the authorization boundary. Every event available for the full continuous-monitoring window.
Every event. Every time. In the math, not the marketing.
SHA-256 of the original bytes equals SHA-256 of the decompressed bytes, checked on every event as it flows. Any deviation triggers an immediate alert — and has never happened in production.
