Continuous Threat & Exposure Management

12 campaigns your SIEM filed as 50,000 alerts.

Samyoga reads the security data you already have and shows what an attacker can actually reach: the live graph from every identity to every asset, and the named campaigns already moving through it.

See the platform
0
bytes moved across the lake
2.1M
events analyzed in one engagement
12
coordinated campaigns surfaced where prior tooling found zero
$697M
exposure quantified at one enterprise, methodology published
What we are

Risk is a flow, not a column.

Continuous Threat & Exposure Management measures what an attacker can actually reach across identities, assets, and OT — then acts on it. It is not a compliance dashboard, and it is not a louder SIEM. Here is the line, drawn four ways.

Mistaken forWhat we are notWhat we are
Compliance / GRCA compliance-evidence engine that maps controls to a framework.A live measure of attacker reachability — and we act on it.
A louder SIEMA per-event rule engine that counts 50,000 alerts.The decision surface above the lake: twelve named campaigns.
An identity toolA role-redesign program or a cloud-entitlement-only scanner.Identity, assets, and OT joined in one exposure graph.
A blast-radius dashboardAn inline, cloud-only operational number.Signed, offline-verifiable exposure your board and insurer can check.
Watch the flow

One compromised identity. Everything it can reach.

A vulnerability scanner hands you a column of CVSS scores. Samyoga traces the path: from a single compromised service account, across hosts and accounts, to the assets actually in reach — and stops at the edge of the blast radius. The graph below is synthetic, the propagation is the real model.

Cross-domain risk propagation from one compromised identitysvc-backupapp-01app-02admin-jdoedb-fin01file-sharedc-01hr-app01guest-wifi
Compromised identityReachable from itOutside the blast radius
Category

A continuously updating “map of cyber reality” + explanation engine.

Every other system in your stack takes a slice of the data. Samyoga is the decision surface above all of them — the Bloomberg Terminal for enterprise risk.

SystemWhat they take
SIEMData ingestion
CMDBAsset inventory
IAM graphIdentity relationships
Risk engineExposure scoring
Bloomberg TerminalDecision surface

Three things your CISO will check.

What are we exposed to right now? Each weekly dispatch ranks campaigns by quantified exposure, so your next board update opens with a number — not a slide of alert counts.

Will we see the next move before the breach? Coordinated campaigns surface on the second signal, not the fiftieth alert. Preemptive prioritization is the wedge — not an after-the-fact narrative.

Can we run it where our data and auditors require? Multi-tenant SaaS, on-prem with air-gapped Ollama, India data residency, OCSF 1.0 throughout. Pharma, hospitality, and global tech are running it today.

Dispatches

Other platforms count alerts. We tell you the dispatch.

Events tell you what happened. Graphs tell you what’s happening. Dispatches is the in-product landing surface and the wedge of the platform. The 50,000 events your SIEM surfaced last week are not 50,000 problems. They are usually a small number of campaigns with names you can repeat.

50,000+ EVENTS12 CAMPAIGNSQ3-DRL-DLP-ReconM&A-IP-Exfil-AttemptOT-Mfg-Lateral-ProbeHosp-Booking-SprayAzAD-Guest-PersistPHI-Egress-SpikeCloudConsole-BruteVendor-Token-ReuseGP-Front-Office-PhishTech-CodeSign-HijackPharma-MfgFloor-FIMHosp-POS-Skim-Recon
Step 1 — Detect

Coordinated activity collapses into one campaign — not fifty alerts.

Step 2 — Connect

Identities, assets, and entities resolve into a single graph so a campaign is one object, not a stack of tickets.

Step 3 — Narrate

Each dispatch is named, ranked, and dated — readable on a board slide, actionable on the SOC console.

Lake-native by construction.

The platform reads the data you already have, where you already have it. Your Snowflake or Databricks bill stops being a tax on security visibility and starts paying for itself a second time.

Your data lakeSnowflake · Databricks · S3 · IcebergSamyoga Control PlaneDetect · Connect · NarrateOutcomesBoard narrative · SOC alignment · auto-remediationNo data movement. No ingest tax. No agents on every endpoint.

Three sectors. Real exposure. Names withheld for now.

Customers introduced through PwC India and EY India are running Samyoga in production today. Identifying details are withheld until consent is on the record.

PHARMA

A top-3 Indian generics manufacturer connected Setu to its existing data lake without migrating a byte. The first weekly digest surfaced campaigns the prior tooling had missed.

0 bytes
moved across the lake boundary
HOSPITALITY

A national hospitality group runs the platform across a fleet of Windows endpoints with on-prem agents. FIM hostnames now resolve, severity dropped 24x in the first week.

24x
reduction in High-severity alert volume
TECHNOLOGY

A global technology enterprise uses Dispatches as the weekly board artifact. Twelve campaigns surface where the prior platform showed only an alert count.

12 vs 0
campaigns surfaced vs prior tooling

Where it runs.

Deploy
Multi-tenant SaaS or single-tenant on-prem.
Air-gapped
On-prem with embedded Ollama. No outbound calls.
Standards
OCSF 1.0 throughout. Audit trails for regulated industries.
Data
India data residency available. Customer data never leaves the lake.

See it on your data.

Tell us a little about your stack. We reply within one business day with two or three time slots.

Or email [email protected]