Enterprise Service
AI Security & Cybersecurity
Secure AI systems across models, data and integrations.
Assess and harden AI applications against prompt injection, data leakage, insecure integrations, and related LLM risks.
Problem Solved
LLMs introduce new attack paths that traditional application security reviews often miss.
Key Deliverables
- ✓AI security assessment report
- ✓Threat model for LLM applications
- ✓Prompt-injection and abuse testing findings
- ✓Remediation recommendations
- ✓Security control backlog
Execution Methodology
Service Capabilities
Core skillsets and operational domains covered in this practice area.
- AI security assessments
- LLM threat modelling
- Prompt injection testing
- Data protection review
- Identity and access review
- AI red teaming
- Cloud and API security for AI systems
Flexible Engagement Models
Available as a targeted advisory sprint, a fixed-scope implementation project, an embedded engineering pod, or fractional CAIO support.
Schedule Service Scoping SessionFrequently Asked Questions
How is AI security different from traditional cybersecurity?
AI systems blend instructions and data in natural language, so reviews must cover prompts, retrieval context, model behavior, plugins and supply-chain risk, not only static code.
Initiate Your AI Security & Cybersecurity Program
Connect directly with an AkonnAI practice leader to discuss scope, timelines, and business case justification.
Book an AI Strategy Session