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Miatz Private Limited

Registered office:
C-101, Lotus Tower, Arge Urban Bloom, 30/A, 4th Main, 2nd Stage, Yeswanthpur, Bengaluru, Karnataka 560022, India
CIN:
U62013KA2026PTC226418
GSTIN:
29AAVCM3922D1Z6
Phone:
+91 82802 73456
Email:
hello@miatz.com
Website:
miatz.com
Grievance Officer:
Aishwarya · aishwarya@miatz.com · replies within 30 days

miatz™, Itz'at™, Tuukul™, T'aan™, Kanan™, Xook™ and Chuun™ are trademarks of Miatz Private Limited (registrations in progress) · what the names mean

The Atlas / Risk, Fraud & Security

Risk, Fraud & Security

Spotting the transaction, message or behaviour that should not be there.

  • Transaction monitoring
  • Threat detection
  • Phishing triage
  • Policy enforcement
  • Checking what leaves the organisation against its own data-handling policy

    Inspects outbound mail, file uploads and text pasted into external services for the categories the policy says must not leave — customer identifiers, source code, unreleased numbers — and blocks, quarantines or warns the sender, recording what was matched, on which rule, and who owns that rule.

    Effort
    Weeks of work
    Organisation size
    Enterprise
  • Triaging what staff report to the phishing mailbox

    Reads each message forwarded to the report-phishing address, pulls sender, headers, links and attachments out of the raw source, collapses reports of one campaign into a single case, and drafts a verdict naming the indicators it relied on — so an analyst confirms or overturns a judgement instead of opening four hundred near-identical mails.

    Effort
    Weeks of work
    Organisation size
    Mid-market
  • Ranking security-log anomalies for the analyst queue

    Learns what ordinary behaviour looks like for each account, host and service from the organisation's own logs, then surfaces the windows that depart from it — an account authenticating from a new country at an unusual hour, a host suddenly talking to hundreds of internal addresses — each presented with the baseline it broke and the published technique it resembles.

    Effort
    More than a few weeks
    Organisation size
    Enterprise
  • Working the alert queue a transaction-monitoring system produces

    Scores the alerts a rules-based monitoring system raises against how that customer, product and corridor have behaved before, groups related alerts into one case, assembles the account history and counterparty links an investigator would otherwise pull by hand, and orders the queue — leaving the decision to file or close with a named person.

    Effort
    More than a few weeks
    Organisation size
    Enterprise