Security infrastructure for the AI era.
SecureSpace helps teams secure agents, applications, APIs, cloud systems, and AI-connected workflows through research-led services, architecture support, and enterprise guidance.
We are also building Mintos AI, the product layer inside SecureSpace.
Security work for the systems modern software depends on.
SecureSpace works with startups, technology companies, enterprise teams, research organisations, and institutions facing security questions across intelligent systems and modern software.
AI and Agent Security
Assess instructions, context, retrieval, memory, tools, permissions, actions, and human approval.
Explore AI and Agent SecurityApplication Security
Review authentication, authorisation, business logic, tenant isolation, data handling, and AI-enabled workflows.
Explore Application SecurityAPI Security
Examine public, private, partner, internal, and agent-consumed APIs across access, tokens, data, and abuse paths.
Explore API SecurityCloud Security
Review identities, workloads, secrets, infrastructure, deployment pipelines, and AI-supporting environments.
Explore Cloud SecuritySecurity Architecture
Map trust boundaries, permissions, data flows, failure paths, controls, and security decisions.
Explore Security ArchitectureEnterprise Readiness
Organise evidence, prepare for buyer diligence, identify gaps, and explain security posture clearly.
Explore Enterprise ReadinessSecurity support that moves from questions to decisions.
Engagements may include focused reviews, architecture support, security assessments, enterprise-readiness work, applied research, or ongoing security capacity.
Understand the system
We begin with architecture, workflows, users, agents, data, identities, and operational consequences.
Identify meaningful risk
We separate urgent exposure, architecture weaknesses, implementation gaps, and longer-term maturity work.
Support practical action
We help teams turn findings into remediation, decisions, controls, evidence, and clearer ownership.
One security approach across the systems AI software depends on.
Important risks rarely remain inside a single layer. An agent-security issue may originate in an API permission, cloud identity, application workflow, retrieval source, or weak approval process.
Agents
Instructions, planning, memory, retrieval, tool use, permissions, actions, and human oversight.
Applications
Authentication, authorisation, business logic, tenant boundaries, data flows, and AI-enabled interfaces.
APIs
Public, internal, partner, service-to-service, and agent-consumed interfaces.
Cloud
Identities, workloads, secrets, environments, CI/CD, infrastructure, and runtime visibility.
Governance and Evidence
Policies, security decisions, ownership, audit trails, buyer diligence, and reusable evidence.
Mintos AI is the product layer being built inside SecureSpace.
SecureSpace services and research reveal recurring problems across agents, applications, APIs, cloud systems, permissions, approvals, and security evidence. Mintos AI is being designed to translate useful patterns into infrastructure.
Initial pilot launch planned for the end of July 2026, subject to product readiness and security review.
Services create field knowledge. Research creates depth. Product creates scale.
Security services
Immediate security, architecture, product, cloud, API, AI, and readiness work.
Research
Emerging questions around authority, context, tools, evidence, and oversight.
Mintos AI
Repeatable patterns translated into product infrastructure.
Continuous learning
Real engineering and enterprise constraints refine the direction.
Security support for teams building and operating serious software.
AI builders
Assess agents, tool use, memory, retrieval, permissions, and autonomous workflows before authority expands.
Startups
Improve product, application, API, cloud, and AI security without building a large internal security team immediately.
Enterprises
Support architecture, assessments, governance, evidence, procurement, and emerging AI-security requirements.
Developer-tool companies
Review IDE, CLI, CI/CD, MCP, repository, cloud, and API integrations handling customer code or data.
Research laboratories
Collaborate on agent security, evaluation, red-team methods, provenance, governance, and responsible publication.
Universities
Explore joint research, student projects, technical workshops, laboratories, and longer-term research programmes.
Research collaboration for questions that do not fit inside a standard assessment.
SecureSpace welcomes structured proposals from universities, laboratories, companies, enterprise teams, independent researchers, security practitioners, students, and public-interest organisations.
Current areas of interest include agent security, instruction integrity, tool-use security, retrieval and provenance, identity and permissions, secure AI development, runtime behaviour, governance, and evidence.
Security work for teams responsible when systems become real.
SecureSpace supports organisations dealing with security decisions across AI systems, applications, APIs, cloud infrastructure, architecture, governance, buyer expectations, and operational evidence.
Start with the security requirement in front of you.
Discuss a service engagement, propose a research collaboration, or follow the Mintos AI build.