AI Development
AI Security Review Services
We perform AI security reviews for assistants and agents: injection and leakage testing, tool permission audits, and actionable remediation so production rollout is safer.
Overview
What this service is
We review your AI system like an attacker would: prompts, retrieval, tool surface area, auth boundaries, secrets handling, and UX flows that can be exploited.
Findings are delivered as a prioritized list with fixes, not vague risk statements—so engineering teams can remediate quickly.
We can also add regression tests and monitoring so the same classes of issues don’t reappear after new features ship.
Benefits
What you get
Lower risk of prompt injection incidents
Identify and mitigate exploit paths before they reach users.
Reduced data exposure
Permission boundaries and retrieval filters are validated against leakage scenarios.
Safer tool-enabled automation
Tool schemas, allowlists, and approval steps are audited for misuse risks.
Actionable remediation
A fix plan helps you prioritize changes that materially reduce risk.
Better governance posture
Audit logs and monitoring recommendations support ongoing security and compliance needs.
Features
What we deliver
Threat model and attack surface map
Identify risk points across prompts, retrieval, tools, and user flows.
Prompt injection testing
Adversarial inputs to test instruction bypass, data exfiltration, and tool misuse.
Data access and leakage review
Validate permissions, filters, and sensitive data handling in retrieval and tool calls.
Tool permission audit
Review schemas, allowlists, and approval steps for actions that change systems or data.
Logging and monitoring recommendations
Add signals and alerts for risky patterns and unexpected behaviour in production.
Remediation plan
Prioritized fixes with implementation notes for engineering teams.
Process
How we work
Architecture review
We map your current workflows, tools, and access model to define the review scope.
Security testing
We run injection and leakage tests across prompts, retrieval, and tool calls.
Findings + fix plan
We deliver issues, severity, and recommended remediations with implementation guidance.
Optional hardening
We can implement guardrails, monitoring, and regression tests as part of delivery.
Tech Stack
Technologies we use
Core
Tools
Use Cases
Who this is for
Pre-launch AI security assessment
Run a focused review before opening access to customers or internal teams.
Tool-enabled agents
Audit action boundaries and reduce the risk of unintended or malicious operations.
Internal knowledge assistants
Validate role-based access and prevent leakage across teams or departments.
Post-incident hardening
Identify root causes and implement controls that prevent repeats after an issue occurs.
Vendor and provider review
Assess where third-party services introduce risk and how to isolate them safely.
FAQ
Frequently asked questions
This is an engineering security review focused on AI-specific risks. Independent third-party audits can be added if your compliance program requires them.
Yes. We test with representative tool schemas and permission boundaries so findings reflect real production behaviour.
We provide a clear remediation plan. If you want, we can also implement the fixes and add regression tests.
Yes. We can implement secrets isolation, allowlists, throttling, and monitoring aligned to your deployment model.
Many reviews can complete in 1–2 weeks depending on tool surface area and complexity.
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Regional
Delivery considerations for your region
Compliance & Data (AU)
For Australian teams, we keep privacy and data-handling explicit: access boundaries, safe logging, and clear retention policies.
We can support residency-sensitive designs (where feasible) and document data flows for stakeholder review.
- Privacy Act-aware delivery posture (generic, no legal claims)
- Documented data flows and access boundaries
- Retention/deletion options where required
- PII-safe logging and least-privilege defaults
- NDA and DPA templates available on request
Timezone & Collaboration (APAC)
We support APAC collaboration with AEST/AEDT-friendly meeting windows and async progress updates.
We keep momentum with weekly milestones, crisp priorities, and predictable release planning.
- APAC overlap with AEST/AEDT windows
- Async-first updates and written decisions
- Weekly milestone demos and scope control
- Release planning with staged rollouts
- Clear escalation path for blockers
Engagement & Procurement (AU)
We can structure engagements with clear scope, milestones, and invoicing that fits common procurement expectations.
If you need a lightweight vendor onboarding pack, we can provide delivery process notes and security posture summaries.
- AUD-based engagements and invoicing options
- Milestone-based billing for fixed-scope work
- Time-and-materials for evolving scope
- Procurement-friendly documentation on request
- Optional paid discovery to de-risk delivery
Security & Quality (APAC)
With APAC teams, async clarity matters: written decisions, stable releases, and test coverage that prevents regressions.
We use performance budgets and release checklists so handoffs stay smooth across timezones.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Release checklist + rollback plan for production launches
- Security checklist for auth and sensitive data flows
- Observability hooks (logs + error tracking) ready for production
Want to reduce AI security risk before launch?
Share your architecture and access model—we’ll run an AI-specific review and deliver a prioritized fix plan.
Security-focused engineering review.