MAYA माया
Military Autonomous Yield-intelligence Architecture
“The attacker sees what we want them to see.”
THE PROBLEM
Traditional cyber defences - firewalls, antivirus, IDS - are reactive. They alert after an attacker is already inside, sometimes weeks or months after first entry. MAYA flips the equation: attackers enter what they believe is your real network, expose every tool and technique they carry, and are automatically detected, studied, and contained - without ever touching a real system.
THE SOLUTION
What MAYA Does
MAYA is an AI-managed cyber deception platform that deploys a network of fake assets - servers, databases, file shares, and credentials - across your network. Every interaction with these deception assets is confirmed malicious by definition: no legitimate user has any reason to access a honeypot.
The AI intelligence engine classifies every attacker, maps their behaviour to the MITRE ATT&CK framework, correlates their tools with global threat intelligence, and automatically fires containment actions within 30 seconds. An LLM then generates a plain-English incident report readable by any commanding officer in under a minute. MAYA reduces attacker dwell time from the global industry average of 197 days to under 60 seconds.
माया (MAYA) - Illusion. The cosmic unreal. That which appears to be but is not. In Vedantic philosophy, Maya is the divine illusion that conceals the truth beneath. Attackers see your network. They are inside an illusion built entirely for them.
CAPABILITIES
Key Features
Honeypot Fleet
SSH, web, database, and network service honeypots deployed across network segments - each mimicking real assets convincingly. Built on Cowrie, OpenCanary, and Dionaea.
Honeytoken Credentials
Fake API keys, passwords, and credentials planted in real documents and file shares. Any use = immediate confirmed breach signal. Zero false positives.
Canary Documents
Fake classified documents with embedded tracking beacons. Detect data exfiltration even after files leave the network.
AI Attacker Classification
ML model classifies every attacker: Nation-State APT / Ransomware Group / Insider Threat / Script Kiddie. Confidence score, tool identification, and attribution.
MITRE ATT&CK Mapping
Every attacker action mapped to standardised MITRE ATT&CK tactics and techniques - giving SOC teams a universal language for every incident.
Automated Response
IP block, network isolation, SOC alert, forensic capture - all automated and firing within 30 seconds of confirmed malicious activity. No human needed.
LLM Incident Reports
Plain-English incident narrative generated automatically. Any officer reads it in 30 seconds. No cybersecurity expertise required to act on it.
Adaptive Expansion
AI detects attack and automatically deploys additional honeypots in the likely next lateral movement path - deception perimeter grows with the attack.
DEPLOYMENT OPTIONS
Product Tiers
MAYA Core
Internal network deception - honeypot fleet deployed inside your network perimeter. Production-ready.
MAYA Edge
Phase 2Internet-facing deception - decoy services on your external IPs, catching attackers before they reach the perimeter.
MAYA Sentinel
Phase 3Continuous red team exercise platform - automates simulated attacks against MAYA to measure and improve SOC readiness.
WHY NOT A FOREIGN ALTERNATIVE?
Why MAYA?
“You cannot build your deception layer using a foreign company. MAYA is the only indigenous cyber deception platform you can own, audit, and certify end to end.”
INTEGRATION
Works With
DESIGNED FOR
Who It Serves
Proudly Made in India
Engineered in India with world-class standards. Deployable anywhere in the world. Full source code available for sovereign audit. No vendor lock-in. No foreign dependencies.
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Learn MoreReady to See MAYA in Action?
Working prototype available within 30 days. Schedule a live demo with our team tailored to your operational requirements. Anywhere in the world.