Breach detection, AI-driven deception engineering, and cryptographic data provenance — unified into a single security operations platform.
Submit any email, domain, or key pattern as a monitored asset. The platform indexes it across active intelligence sources and begins cross-source correlation immediately — no manual configuration required.
The breach intelligence engine queries code repositories, paste aggregators, and credential databases in parallel. Each finding is AI-enriched with severity classification and cross-source correlation strength before surfacing.
Cryptographically signed canary records are woven into the data layer. Any interaction with signed data from an unauthorized source triggers immediate attribution, profiling, and containment — regardless of network origin.
Session DNA builds per-account behavioral baselines: endpoint access sequences, inter-request timing, and activity windows. Statistical deviation scoring detects compromised sessions the moment behavior diverges — even with valid credentials.
Critical-threat actors are transparently rerouted to a synthetic parallel environment. Production remains completely isolated. Every action the attacker takes is logged to an immutable chain while they operate under the assumption they've succeeded.
Every detection, containment event, and access log is written to a SHA-256 hash chain replicated to tamper-proof object storage. The chain cannot be modified retroactively — each entry's integrity is verifiable independently of the database.
Continuous scanning of public code repositories for inadvertent credential commits, hardcoded API keys, database connection strings, and private configuration data.
Real-time classification of paste aggregator content. AI assigns severity, identifies credential exposure patterns, and surfaces findings before threat actors can operationalize the data.
Sensor-layer traffic analysis with MITRE ATT&CK technique classification. Attacker behavioral profiles build automatically — predictive traps deploy ahead of observed movement patterns.
Canary records with full behavioral histories. Hall of Mirrors generates layered fake data per attacker session. Predictive trap placement maps to observed attack chain progression using MITRE ATT&CK techniques.
Multi-source breach detection with AI enrichment and cross-source correlation. Findings persist to a tamper-proof audit chain. Alert fatigue is reduced through severity classification before any notification fires.
API keys, session tokens, and data exports carry embedded provenance signatures. A network mismatch on any signed artifact triggers instant detection, automated block, and forensic attribution chain.
Critical-threat actors are transparently rerouted to a synthetic environment. The production surface remains isolated. Full attacker methodology is captured to an immutable log — they operate unaware of containment.
Per-session behavioral baselines across endpoint access sequences, request timing, and activity windows. Deviation scoring detects account compromise regardless of credential validity — before unauthorized access causes damage.
SHA-256 hash-chained event log replicated to object storage under Object Lock enforcement. Retroactive deletion or modification is mathematically detectable. Chain verification runs on demand against the remote backup.
A distributed network of purpose-built decoy systems is being staged across multiple infrastructure regions. Each node presents a realistic attack surface — exposed services, credible configurations, and responsive protocols — designed to attract, engage, and profile threat actors at scale.
Captured attacker behavioral data feeds directly into the platform's predictive engine — improving canary placement accuracy, enriching IP reputation scoring, and building a living threat intelligence corpus from real-world adversarial activity.
EZMCyber addresses a specific gap — commercial deception and breach detection platforms price capabilities out of reach for most security teams. This platform packages deception engineering, breach intelligence, behavioral analysis, and cryptographic provenance into a deployable stack that competes technically with solutions that cost orders of magnitude more. The architecture is the differentiator.
Platform is live and expanding. Early access operators get direct influence on feature development and access to the full deception stack before general availability.