AI Security Audit
Comprehensive assessment of your AI infrastructure — agent configurations, prompt handling, data access patterns, API security, authentication mechanisms, and output filtering. We find the vulnerabilities before someone else does.
AI SECURITY HARDENING
Your AI Agents Handle Sensitive Data. Make Sure Nobody Else Does.
Infrastructure-level security for AI systems — prompt injection prevention, data access controls, agent boundary enforcement, and incident response protocols. Built for production, not compliance theater.
From $5,000 CAD·Scoped per engagement.
30-minute scoping call first. We confirm fit before you commit.
Problem statement
The Biggest Security Threat to Your AI Is Not a Hacker. It Is a Badly Written Prompt.
Prompt injection is the number one vulnerability in AI systems. It holds the top position on the OWASP Top 10 for LLM Applications. Yet only 34.7% of organizations have deployed dedicated defenses against it.
The math is uncomfortable: a single prompt injection attempt against an unprotected AI agent succeeds 17.8% of the time. By the 200th attempt, the breach rate reaches 78.6%. Your agents are being probed right now — the question is whether they are hardened to withstand it.
This is not theoretical. CrowdStrike documented prompt injection attacks against over 90 organizations in 2025, including attacks that embedded hidden prompts in phishing emails to confuse AI-based email triage systems. The global average cost of a data breach reached $4.44 million in 2025, with shadow AI adding an extra $670,000 to the average.
If your AI agents have access to customer data, financial records, or internal systems — and they are not hardened — you are running production systems with the security posture of a prototype.
#1
Prompt injection is the #1 vulnerability in OWASP LLM Top 10 (OWASP)
78.6%
breach rate after 200 prompt injection attempts on unprotected systems (Practical DevSecOps)
$4.44M
average data breach cost in 2025 — shadow AI adds $670K (IBM)
What you get
Production-Grade Security. Not a Checklist.
Security hardening is not a document. It is a set of controls built into your AI infrastructure — at the prompt level, the agent level, the data level, and the network level. We audit what you have, identify what is exposed, and harden every layer.
Prompt Injection Defense
Multi-layer prompt injection prevention: input sanitization, system prompt isolation, output validation, and adversarial testing. We test your agents against known attack vectors and harden them against novel ones.
Data Access Controls
Principle of least privilege applied to your AI agents. Every agent gets access only to the data it needs, with logging on every data access event. No agent should be able to read your entire database because nobody restricted it.
Agent Boundary Enforcement
Guardrails that prevent agents from exceeding their defined scope — tool access restrictions, action approval workflows, escalation triggers, and kill switches. Your agents do what you authorized and nothing more.
Output Monitoring and Filtering
Real-time monitoring of agent outputs for data leakage, hallucination detection, and policy violations. Alerts when an agent produces output that deviates from expected patterns.
Incident Response Protocol
A documented, tested playbook for when something goes wrong — agent compromise, data exposure, prompt injection breach, or unexpected behavior. Your team knows exactly what to do, who to contact, and how to contain it.
The process
Three Phases to a Hardened AI Stack.
A structured engagement that starts with a full audit and ends with production-grade security controls and a tested incident response playbook.
01
Audit
Full security assessment of your AI infrastructure. We map every agent, every data connection, every API endpoint, and every prompt handling mechanism. The output is a prioritized vulnerability report with severity ratings.
02
Harden
We implement security controls based on the audit findings — starting with critical vulnerabilities and working down. Prompt injection defenses, data access controls, agent boundaries, and output monitoring go live.
03
Test and Document
Adversarial testing against your hardened systems. We attempt to break what we built — and fix anything that gives. The engagement closes with an incident response protocol and a security documentation package.
Investment
From $5,000 — scoped per engagement.
Scoped per engagement
From $5,000
Full AI security audit with prioritized findings, prompt injection defense implementation, data access controls and agent boundary enforcement, output monitoring and filtering setup, incident response protocol, and security documentation package.
Price varies based on number of agents, system complexity, and integration surface area. The scoping call determines exact scope and cost.
Book Your Security Assessment →Who it's for
Built for Teams Running AI in Production.
Companies With AI Agents Handling Client Data
Your agents process customer information, financial data, or confidential documents. A breach does not just cost money — it costs trust. Hardening protects both.
Organizations Scaling AI Usage
You started with one agent. Now you have five. Or ten. Each new agent expands your attack surface. Security hardening ensures your security posture scales with your AI deployment.
Teams That Built AI Fast and Skipped Security
You moved fast to get AI into production. Smart. But the prototype security posture that got you live is not the production security posture that keeps you safe. We close the gap.
Regulated Industries With AI Compliance Requirements
Healthcare, financial services, legal — industries where a data breach triggers regulatory action. Security hardening gives you the controls and the documentation to demonstrate compliance.
Why DeployLabs
Designed by someone who builds AI systems and knows where they break.
DeployLabs builds autonomous AI business engines. Security is not an afterthought — it is built into every system we operate. We know where AI systems fail, what attack vectors exist, and how to close them before they are exploited.
This engagement exists because businesses that built AI fast are now realizing the prototype security posture that got them live is not the production security posture that keeps them safe. We close that gap.
Secures your builds and others'
We harden AI systems regardless of who built them. If you have agents in production, we can secure them.
Agent-native security
Not generic cybersecurity. Prompt injection, agent boundary enforcement, and output monitoring — specific to how AI agents actually work.
Practical, not compliance theater
Controls that your team can actually operate. Documentation your auditors can actually read. No checkbox security.
Canadian operations
Built for Canadian businesses operating under PIPEDA, Ontario privacy law, and emerging Canadian AI regulation.
Common questions
Common questions before booking.
The provider secures their infrastructure. You are responsible for securing how you use it — prompt handling, data access, agent permissions, and output monitoring. Most vulnerabilities exist in the application layer, not the model layer. That is what we harden.
Typically 1-3 weeks depending on system complexity. A single-agent system with limited integrations can be audited and hardened in a week. Multi-agent systems with complex data flows take closer to three.
Yes — and we recommend it. Security hardening is most efficient when built into the deployment process rather than bolted on afterward. When combined with an AI deployment engagement, security controls are integrated from the start.
Critical vulnerabilities are flagged immediately and addressed in Phase 2 before anything else. We do not wait until the end of the engagement to tell you about a critical exposure.
The engagement sets up monitoring infrastructure and trains your team to use it. For ongoing managed security monitoring, we offer a monthly support arrangement — ask about this on the scoping call.
Your agents are being probed right now. Are they hardened?
30-minute scoping call. No commitment. We tell you what your exposure is.
Need AI agents built from scratch? | Need a governance framework first? | Start with an assessment?