AI and LLM security architecture
Threat modeling, LLM boundary enforcement, tool-use controls, prompt-injection defenses, and secure patterns for AI-enabled workflows.
Cryptix Security
Security architecture for high-trust systems.
Practical security leadership for AI, cloud, crypto, public-sector, and regulated environments, from strategy and threat modeling through hands-on implementation.
Focus areas
AI SECURITY
Cloud architecture, regulated systems, startup security programs, public-sector readiness, and LLM boundary enforcement.
DESIGN -> IMPLEMENT -> OPERATE
Services offered
Focused help for security-critical systems.
Cryptix Security helps teams make practical security decisions across AI, cloud, regulated environments, and high-trust product architecture.
Cloud and application security
Architecture review, hardening, security design, identity boundaries, logging, detection, and practical remediation plans.
Crypto and fintech security
Security leadership for custody, regulated financial systems, vendor risk, operational controls, and audit-facing programs.
Public-sector readiness
Support for FedRAMP, CMMC, control mapping, evidence collection, hardening plans, and security program execution.
Security program leadership
Fractional or advisory leadership for roadmap creation, board-ready risk narratives, hiring plans, and security operating models.
Assessments and threat modeling
Focused reviews for product launches, architecture changes, acquisition diligence, and high-risk integrations.
Consulting
Available for focused security work.
Cryptix Security is available for high-impact consulting across application security, cloud security, AI security architecture, threat modeling, hardening, and security program execution.
About Monte
Security leadership for regulated and high-trust systems.
Monte Toren is a security executive and architect with experience across crypto, fintech, public-sector compliance, cloud platforms, and consumer technology.
Highlights include serving as crypto CISO during a historic FINRA custody approval, working as a Netflix security architect and head of security, and supporting public-sector security programs involving FedRAMP and CMMC readiness.
He is also a startup specialist who is comfortable operating from strategy through implementation, including hands-on design, deployment, and maintenance of security programs in smaller environments.
Featured project
Prompt wording is not a security boundary.
Guard Bands treats the model as a consumer of verified data, not the root of trust. The surrounding application enforces whether wrapped content is authentic, fresh, unmodified, and being used in the expected context.
Featured project
Guard Bands
An open, pre-1.0 security protocol for applications that pass documents, web pages, tickets, emails, or other user-controlled content into LLM and MCP tool workflows. The project now has a small Python core, an interoperable TypeScript implementation, and a separate reference deployment.
Separate data from control
Guard Bands wraps untrusted content with cryptographically signed boundaries that authenticate marker metadata, issuer, lifetime, and context, similar in spirit to prepared statements separating SQL data from SQL commands.
Cross-language protocol
Protocol v2 uses deterministic JSON canonicalization and shared conformance vectors so Python and TypeScript reproduce HMAC, Ed25519, inline, detached, and MCP artifacts byte-for-byte.
Verify before sensitive actions
Applications verify signatures, freshness, and context binding before content can influence tool calls, workflow decisions, private-data access, or policy-controlled paths.
MCP tool boundaries
The Python and TypeScript integrations authenticate MCP tools/call inputs and complete results, bind calls to tool, audience, context, and input digest, and preserve visible boundaries around text returned to a model.
Core and deployment split
Reusable protocol code and FastAPI/MCP integrations stay small. SSO, audit sinks, APIs, two-channel services, Docker, and operational demonstrations live in a separate reference repository that consumes the core as a versioned dependency.
Open review before v1
Guard Bands remains experimental. Python v0.11.0 and TypeScript v0.1.0 are public on GitHub, while an independent protocol/security review is explicitly required before v1.0.0.
Read the project site
Visit guardbands.com for the architecture, current capabilities, production gaps, security notes, releases, external-review status, and links to all three repositories.
Open guardbands.com