A unified platform for cloud, identity, infrastructure, and operational security.

Continuously evaluate the relationships between users, devices, permissions, workloads, repositories, cloud resources, vulnerabilities, and exposures.

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CypherEra Platform

One connected operating model for modern risk

The platform brings graph-backed correlation, identity context, attack-path thinking, cloud and runtime visibility, code risk, AI-era controls, and continuous compliance evidence into a single workflow—so teams can detect, prioritize, and remediate with shared truth.

Unified security context across cloud and operations

Security Graph & Correlation

Understand how your environment is connected.

CypherEra correlates assets, identities, workloads, repositories, infrastructure resources, permissions, and runtime exposures across providers into a continuously evolving security graph.

  • Normalize signals across clouds, SaaS, code, and identity providers
  • Keep relationship context fresh as resources and permissions change
  • Ground prioritization in how assets actually relate—not isolated alerts
Illustration of a connected security graph across cloud and code environments

Identity Lens

Identity protection without identity complexity.

Analyze MFA posture, stale accounts, sign-in behavior, privileged access, identity risk, lifecycle drift, and cross-platform exposure across connected identity systems.

  • See risky identities alongside the resources they can reach
  • Spot privilege creep and dormant access before it becomes leverage
  • Reduce identity noise with continuous, cross-system context
Identity Lens view across users, roles, and access paths

Attack Path Analysis

See how attackers could move through your environment.

CypherEra evaluates multi-step attack paths across identities, permissions, cloud infrastructure, workloads, storage systems, repositories, and exposed services to help teams prioritize remediation based on operational impact.

  • Chain exposures across identity, network, data, and code surfaces
  • Rank paths by blast radius and likelihood—not ticket volume
  • Give remediation teams a clear “why this first” narrative
Attack path visualization across critical infrastructure

Infrastructure & Cloud Security

Continuously monitor cloud posture and exposure.

Evaluate encryption, logging, public exposure, network protections, workload configurations, storage recovery posture, container security, Kubernetes protections, and infrastructure risk continuously.

  • Track configuration drift and risky defaults across environments
  • Connect misconfigurations to identity and data sensitivity
  • Extend visibility into containers and Kubernetes without bolt-on silos
Cloud infrastructure and workload security illustration

Vulnerability & Runtime Security

Bring operational context into vulnerability management.

Prioritize vulnerabilities using identity exposure, attack paths, infrastructure relationships, workload sensitivity, and operational reachability instead of severity scores alone.

  • Tie CVEs to reachable attack paths and privileged access
  • Reduce backlog noise with exploitability-aware prioritization
  • Align patching with operational risk, not scanner output alone
Code and runtime context for vulnerability prioritization

AI & MCP Security

Secure modern AI environments.

Monitor AI workloads, MCP integrations, permissions, exposed tooling, runtime behavior, and model-connected attack surfaces across modern AI-enabled environments.

  • Inventory AI-adjacent services, tools, and integration points
  • Watch permission and exposure patterns around MCP and model access
  • Extend governance as teams ship AI features faster than policy updates
Integrations and tooling across modern AI-enabled stacks

Code Risk

Scan, correlate, and prioritize risk across the software supply chain.

The platform ingests repository and pipeline signals from connected VCS providers, runs unified scanners for dependencies, secrets, IaC, sensitive data, malware, and containers, then maps findings into the security graph alongside identities, cloud resources, and attack paths.

  • Continuous sync from GitHub, Azure DevOps, and other connected code sources
  • One finding model across SCA, secrets, IaC, DSPM, malware, and container image risk
  • Prioritize remediation with graph context—not isolated scanner severity alone
Code risk findings correlated across dependencies, secrets, IaC, data, malware, and containers

Continuous Compliance

Compliance becomes an outcome — not the objective.

CypherEra continuously maps live technical controls and operational evidence to security frameworks, helping organizations maintain readiness across SOC 2, HIPAA, ISO 27001, NIST, and internal governance standards.

  • Evidence tied to real configuration and activity—not point-in-time screenshots
  • Shared language for security, engineering, and audit stakeholders
  • Continuous readiness as environments and controls evolve
Continuous compliance mapping to security frameworks

See the platform on your data model

CypherEra team
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