A productized security service that designs and deploys permission boundaries and runtime controls for AI agents operating inside business software.
Added Aug 12, 2026
Medium opportunity (71%)
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AI product teams are allowing agents to call tools, access customer data, and act across tenant boundaries without mature authorization architecture. Existing identity controls often cover human users but not agent identities, delegated permissions, prompt-injection exposure, tool-use limits, credential handling, or complete action attribution. Building these controls internally requires scarce application-security and platform-engineering expertise.
Deliver a fixed-scope implementation that maps agent actions and data access, designs least-privilege roles, and deploys gateway policies for credentials, tenant isolation, rate limits, tool restrictions, and audit logging. Begin with an assessment and threat model, then implement controls in the customer's existing identity, gateway, and code infrastructure. Conclude with adversarial testing, remediation guidance, and an operational runbook.
AI agents are moving from demonstrations into customer-facing workflows where they can take consequential actions. The signals show companies simultaneously hiring for agent permissions, gateway security, supply-chain controls, and auditability, indicating an immediate implementation gap.
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• Advance trusted execution for AI agents, establishing controlled access to sensitive data and tools with built-in identity, policy enforcement, and auditability. • Design, implement, and ship cloud services that make secure workspaces and governed data access easier to use, extend, and operate.
Design and build the guardrail services that mediate actions an AI agent takes, scoped permissions, tool-call validation, and hard limits on what an agent can read, write, or send Write production code for data access controls that keep customer PII and sensitive records inside approved boundaries, even when an agent is orchestrating the request
Own identity, access and role-based control models for AI workloads, model endpoints and data Produce technical risk assessments and layered security designs, and take solutions through
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