Our security philosophy, architectural guardrails, and Megas Secure roadmap.
At Megas Moves, we treat security as a continuous product direction and a set of active practices, not as an absolute or unrealistic guarantee. We do not claim that AI-assisted workflows replace all dedicated security teams, nor do we promise zero-risk codes or guaranteed 1ms responses. Instead, our goal is to decrease human error and reinforce infrastructure through automated audits.
Megas Secure is our upcoming security and infrastructure hardening tier. It introduces AI-assisted security operations designed to reduce dependency on large security teams.
By deploying specialized swarm-agent investigations and configuring automatic containment workflows, Megas Secure helps developers identify vulnerabilities, audit deployment configurations, and contain breaches immediately.
The following features represent the roadmap objectives for Megas Secure:
AI-assisted code scanning to detect standard code smells, logical flaws, input sanitization issues, and deprecated package usages before commits are merged.
Continuous evaluation of Docker files, Terraform structures, Kubernetes manifests, and Nginx setups to verify configurations match security benchmarks.
Automated scanning of repository commits to catch hardcoded environment keys, OAuth tokens, keystore passwords, or database credentials before they are pushed.
Periodic audits of user access matrices, IAM policies, and webhook scopes to ensure your workspaces strictly follow the principle of least privilege.
Scans cloud provider settings and network rules (e.g. open ports, unencrypted database snapshots, loose CORS setups) to identify exposure routes.
Provides swarm-agent investigation templates and runbooks to speed up diagnosis, isolation, and repair of runtime issues.
Maintains structured logs of all agent commands, task approvals, config updates, and database actions to provide accountability.
Suggests automatic containment workflows and quick rollback actions to restore stable repository states when a production alert triggers.
Megas Moves separates context from code repositories. While shared context stores architectural rules and milestones, your private source code remains localized inside your host server or secure container. Handshakes with LLM providers are executed under secure, token-scoped sessions.