AI Agent Security
Security architecture and assurance for AI agent deployments — the systems your business will increasingly run on.
For organizations deploying AI agents in production: customer support, internal automation, code generation, decision support, and the workflows still being invented.
Book an AI security assessment call →You're probably here because:
You're deploying AI agents — or about to. Maybe a customer support agent that touches real customer data. Maybe an internal agent with access to your systems. Maybe code-writing agents in your engineering workflow. Maybe agents that make real decisions on behalf of your business.
Your security team is asking questions you don't have answers to yet. Your auditors are starting to ask too. The threat model is different from traditional applications — agents have goals, persistence, tool access, and the capacity to take unexpected actions. The controls that work for static applications don't all transfer.
You need someone who's thought about this carefully and can work with your team in the language of both security and AI systems.
What's included
An AI agent security engagement with Qhalent typically covers:
- · Threat modelling for the agent deployment — what can go wrong, what an attacker (or the agent itself) might cause, what the blast radius looks like
- · Architecture review — how the agent is built, what it can access, how it's authenticated, how its outputs are handled, where the failure modes sit
- · Prompt injection and output handling controls — design patterns for systems that consume untrusted natural-language inputs
- · Identity and access controls for agents — how the agent authenticates to your systems, what permissions it holds, how those are scoped and audited
- · Tool-use governance — when agents can call external tools, how those calls are constrained, what auditing exists
- · Data handling and privacy review — what the agent sees, what it remembers, what it logs, where that data flows
- · Operational guardrails — rate limits, kill switches, monitoring, anomaly detection, human-in-the-loop checkpoints
- · Compliance mapping — how the deployment maps to SOC 2, ISO 27001, GDPR, and emerging AI-specific regulatory frameworks (EU AI Act, NIST AI RMF)
How we deliver
AI agent security engagements vary in shape depending on where you are in the agent lifecycle. Common engagement types:
Pre-deployment review
For agents not yet in production. We assess the design, identify risks before they ship, and document the security controls that should be in place at launch.
Production assessment
For agents already deployed. We assess the live system against realistic threat models, identify gaps, and prioritize remediation.
Programme design
For organizations deploying multiple agents over time. We design the security framework, governance, and review process that applies across current and future agent deployments.
Ongoing advisory
For organizations where AI agent deployment is continuous. Monthly or quarterly review cadence, available for architecture reviews on new agents, and oversight as the threat landscape evolves.
What we don't do
We don't sell AI safety theater. The space is full of frameworks, checklists, and "AI governance" frameworks that don't actually reduce real-world risk. We work in operational specifics — the controls that actually constrain what an agent can do, not the policies that say what it shouldn't.
We don't pretend to know what will matter in two years. The AI landscape moves fast, and any consultant claiming to have the definitive playbook on AI security is overselling. We bring strong fundamentals (threat modelling, identity, access control, data handling) and a serious engagement with the current state of the field — not certainty.
We don't replace your AI engineering team. They know your systems; we bring the security lens. The engagement works best when our review feeds into their architectural decisions, not when we try to redesign systems we don't operate.
Engagement and pricing
AI Agent Security engagements are typically fixed-fee projects or monthly retainers, depending on engagement type.
The fee depends on the engagement shape, the complexity of the agent system (single agent vs. multi-agent system, tool access scope, data sensitivity), and your existing security maturity. We'll give you a defined price after a 30-minute scoping call.
What's included in the fee
The work in the engagement type selected, all deliverables (threat models, architecture review, recommendations, governance design), and reasonable follow-up to clarify or extend findings.
What's not included
Implementation of the controls themselves (handled by your engineering team, or via a separate implementation engagement), ongoing assessment of new agent deployments (rolls into a retainer or new project).
Why Qhalent for AI Agent Security
The hard part of AI agent security isn't the AI — it's the intersection of AI with everything else. Identity, access control, audit logging, data handling, application security, threat modelling, incident response. Agents amplify the consequences of weaknesses in any of these areas. The practitioners who do this work well are the ones who already understood those fundamentals deeply, then engaged seriously with what agents change.
We've spent two decades inside the operational security disciplines that agent deployments depend on. We hold CISSP, CCSP, and CISM credentials. And we've engaged with the AI security space seriously since AI agents started appearing in real enterprise deployments — reading the research, building internal capabilities, and developing assessment approaches.
We don't claim to have all the answers in a space where the right answers are still being discovered. We bring rigorous fundamentals and a serious, current engagement with how AI agent security is evolving — which is what the credible practitioners in this space are doing.
Ready to talk?
If you're deploying AI agents and want a serious security review, or you're thinking about a broader security framework for agent-based systems, let's talk. Thirty minutes is enough to understand your situation and recommend the right engagement shape.