AI Security
Organisations are embedding AI across products, operations, and decision-making. Agabis helps you understand the security risks those systems introduce and address them before they become incidents.
- Services
- AI Security
Why AI Needs Different Security
AI systems introduce risks that traditional security testing does not cover. A penetration test of your web application will not tell you whether your LLM can be manipulated into leaking data, whether your RAG pipeline retrieves content it should not, or whether your AI agent can be redirected through prompt injection.
These are no longer theoretical concerns. They are documented, reproducible attack patterns that affect production systems today.
AI also creates governance challenges. Regulations and standards are evolving quickly. Clients, investors, and regulators are asking questions about how AI systems are controlled, monitored, and governed. Organisations need structured answers, not vague assurances.
Agabis treats AI security as a distinct practice area because the threat model, the attack surface, and the governance requirements are fundamentally different from traditional application security.
What AI Security Covers
Generative AI & LLM
Chatbots, copilots, content generation, summarisation tools
Retrieval-augmented generation (RAG)
Systems that combine LLMs with organisational data, documents, and knowledge repositories
AI agents and agentic workflows
Systems that can make decisions, trigger workflows, or perform tasks with limited human input
Traditional ML systems
Models used for classification, prediction, scoring, and recommendation
AI-enabled applications
Products or platforms with AI embedded into core features and workflows
Our AI Security Services
AI Security Assessments
Structured security evaluation of AI systems, covering model behaviour, data handling, integration points, access controls, and output validation. Identifies vulnerabilities specific to AI workloads that conventional testing overlooks.
AI Governance
Implementation and validation of AI governance frameworks aligned with ISO 42001, NIST AI RMF, and emerging regulatory requirements. Covers policy development, risk management, accountability structures, and audit readiness.
AI Security Architecture Reviews
Technical review of AI system design, data flows, integration patterns, and deployment architecture. Identifies structural weaknesses, insecure configurations, and design decisions that introduce risk before they reach production.
AI Red Teaming
Adversarial testing of AI systems designed to expose exploitable weaknesses. Covers prompt injection, jailbreaking, data extraction, output manipulation, and abuse scenario modelling. Tests how your AI behaves when someone actively tries to break it.
Our Delivery Approach
01
Discovery and Scoping
We begin by understanding your objectives, current environment, business context, and the outcomes you need from the engagement. This ensures the scope is aligned to what matters most.
02
Assessment and Analysis
We review the relevant systems, processes, controls, and workflows in scope to establish a clear picture of the current state and identify areas of risk, weakness, or opportunity.
03
Reporting and Prioritisation
We consolidate the findings into clear, structured outputs with supporting evidence, risk impact, and prioritised actions, helping your teams focus on what should be addressed first.
04
Recommendations and Roadmap
We provide practical recommendations and a clear roadmap that aligns technical, operational, and business priorities, helping you move from immediate actions to longer-term improvement.
FAQ
What is AI security?
What is an AI security assessment?
How is AI security assessment different from traditional penetration testing?
What frameworks does Agabis align AI security work with?
How long does an AI security engagement typically take?
Do you assess governance and compliance as part of AI security?
Understand Your AI Security Posture
Tell us what you are building or deploying. We will help you identify the risks and define the right approach.