Agentic AI operates deep inside your organisation. That demands a security posture to match. Here's exactly how we approach it.
Deploying autonomous agents inside an enterprise means granting them access to systems, data, and decision pathways that matter enormously. We take that seriously — not as a box-ticking exercise, but as a design requirement that shapes every architectural decision we make.
Agents in a BlockPattern deployment operate within explicitly defined permission boundaries. They cannot exceed the access they are granted. Every action is logged. Every decision is traceable. And humans retain the ability to override, pause, or shut down any agent at any time.
We're an early-stage business and don't yet carry formal third-party certifications. What we do carry is a transparent approach to security architecture, a commitment to plain-language disclosure about how your data is handled, and a willingness to answer every question — including the uncomfortable ones.
Every agent is granted the minimum permissions required to perform its defined role — nothing more. Access is scoped to specific systems, specific data types, and specific actions. Permission expansion requires explicit sign-off and is logged.
Every agent action — every API call, every document generated, every decision made — is written to a tamper-evident audit log. You have complete visibility into what your agents did, when, why, and with what data.
Agents operate within hard-coded constraint layers. They cannot take actions outside their defined scope, regardless of what an instruction or input says. Boundary violations are logged and escalated — not silently executed.
Any agent can be paused, overridden, or shut down by an authorised human at any point. No agent has irrevocable authority over any system or workflow. Human control is a non-negotiable architectural requirement.
Data that your agents observe, process, or generate belongs to your organisation. We do not use client operational data to train models, improve our own systems, or share with third parties. This is a contractual commitment, not a policy.
We work with you to define where data is stored and processed — whether that means your existing cloud infrastructure, a private cloud deployment, or on-premise installation. We don't impose a data residency model; we fit yours.
All data passing through agent pipelines is encrypted using current industry standards (TLS 1.3 in transit, AES-256 at rest). Encryption key management practices are disclosed and can be reviewed during due diligence.
Agent logs, generated documents, and processed data are retained according to schedules you define — not ours. At engagement end, all data is returned or deleted in accordance with your data destruction policies, with written confirmation provided.
Our agent deployments rely on underlying AI models (we disclose which models are used in each deployment) and may involve cloud infrastructure providers. All sub-processors are disclosed to clients prior to deployment. You have the right to review and reject any sub-processor that conflicts with your requirements.
Agents run on our managed infrastructure — the fastest path to deployment. Suitable for organisations with standard cloud data policies and no hard residency requirements.
Agents are deployed directly into your existing cloud environment (AWS, Azure, GCP). You retain full infrastructure ownership and control. We manage deployment; you own the stack.
For organisations with strict data sovereignty or air-gap requirements. Agents run entirely within your physical infrastructure. No data leaves your environment under any circumstances.
No. Each agent is scoped to the specific systems required for its defined role, with read/write permissions explicitly defined and agreed before deployment. No agent has blanket access.
Yes. Every agent action is logged in detail — timestamps, inputs processed, decisions made, actions taken, and outputs generated. Audit logs are exportable and queryable.
We disclose the specific foundation models used in your deployment before we begin. Model selection is part of the design conversation, with data handling implications of each option explained clearly.
Agents operate within defined confidence thresholds. Below these thresholds, they escalate to a human rather than act. All agent actions are reversible by design where technically possible.
We are an early-stage business and are in the process of pursuing ISO 27001. We're transparent about where we are and will provide full architectural and data handling documentation for your due diligence process.
Yes — always. We welcome and expect technical security reviews. We'll provide architecture diagrams, data flow maps, and relevant documentation, and make our team available for your security team's questions.
We'd rather answer hard questions now than have them become problems later. Our team is available for technical security conversations before any commitment is made.
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