Threat actor
Mantra Softech
Last fetched
Mantra Softech is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Mantra Softech India Pvt Ltd, founded in 2006 by Hiren and Bhavyen Bhandari, is an Indian company that develops and distributes biometric and identity management technologies. Headquartered in Ahmedabad, the company has developed a range of biometric devices, including fingerprint scanners, iris sensors, AI-driven video processors for monitoring purposes, and "mood pattern" or facial emotion detection embedded in its facial recognition technology. Mantra also played a big role in the development and implementation of India's Aadhaar program, the world's largest biometric-based digital identity system.
Techniques by tactic
No ATT&CK techniques are recorded for Mantra Softech in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Mantra Softech today — this states the absence of a published link, not that Mantra Softech has no infrastructure.
References
- https://indiatechnologynews.in/maldives-adopts-mantra-smart-identitys-morphs-fingerprint-scanner-for-national-id-system/
- https://www.bizcommunity.com/Article/196/373/233294.html
- https://www.mantratec.com/Face-Recognition
- https://blog.mantratec.com/Facial-Emotion-Recognition-in-AI-and-Security
- https://www.manilatimes.net/2025/04/28/tmt-newswire/globenewswire/mantra-softech-extends-licence-for-fpc-iris-technology-to-expand-into-new-markets/2100345
- https://mantraidentity.com/Assets/Images/Company_Profile.pdf
- https://cis-india.org/internet-governance/blog/table-2.pdf
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Mantra Softech into its techniques, tactics and any attributed infrastructure.
Queries
Resolves the slug to this actor, merging every duplicate node sharing the same name.
MATCH (a:ACTOR)
WHERE a.name =~ $pattern OR any(x IN a.aliases WHERE x =~ $pattern)
RETURN a.id AS id, a.name AS name, a.aliases AS aliases, a.description AS description,
a.references AS references, a.campaigns AS campaigns
LIMIT 25Run yourself →Techniques this actor uses, grouped by the tactic each one serves.
MATCH (a:ACTOR {name: $name})-[:USES_TECHNIQUE]->(t:ATTACK_PATTERN)
OPTIONAL MATCH (t)-[:USES_TACTIC]->(tac:ATTACK_PATTERN)
RETURN t.id AS techniqueId, t.name AS techniqueName, tac.id AS tacticId, tac.name AS tacticName
LIMIT 1000Run yourself →Infrastructure publicly attributed to this actor.
MATCH (n)-[:ATTRIBUTED_TO]->(a:ACTOR {name: $name})
RETURN labels(n)[0] AS kind, n.name AS name
LIMIT 25Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.