Security for Agentic AI
We help enterprise teams design and operate secure agentic AI systems — focusing on concrete security controls, resilient architectures, and measurable risk reduction for LLM- and tool-driven workflows in critical environments where failure carries real consequences.
Why AI Security Is an Emerging Imperative
Agentic AI systems — LLMs that plan, reason, and use tools autonomously — are transforming enterprise operations. From automated code generation and document analysis to customer-facing agents and decision-support systems, these capabilities are being deployed at scale across critical industries.
Yet agentic AI introduces attack surfaces that traditional security frameworks were never designed to address. Prompt injection, tool abuse, context poisoning, model manipulation, and uncontrolled data exfiltration are not theoretical risks — they are documented, reproducible exploits catalogued in the OWASP Top 10 for LLM Applications and the OWASP Top 10 for Agents. The security community is only beginning to develop the controls and operational practices these systems demand.
Deploying AI without a deliberate security architecture is not innovation — it is an unmanaged experiment with production data and enterprise trust.
The Cloud Security Landscape
AI-powered tools are amplifying both offensive and defensive capabilities. As the IBM Cost of a Data Breach Report 2025 documents, cloud environments remain the primary battleground — and adversaries now wield AI tools that probe thousands of environments simultaneously around the clock.
$4.03 M
Average cost of a data breach in Germany
Close to the global average of USD 4.88 M, Germany consistently ranks among the top ten costliest countries for data breaches.
72 %
Of breaches involved cloud environments
Nearly three quarters of all breaches now involve data stored in cloud environments — public, private, or hybrid.
86 %
Of businesses experienced a disruption
The vast majority of breached organisations suffered business disruption, which can last for months or even years.
How We Secure Agentic AI Systems
Our approach follows a structured, four-phase methodology — designed to deliver actionable security controls without slowing down your AI development roadmap.
AI Threat Landscape Assessment
Map your agentic AI architecture, identify threat vectors specific to LLM workflows, tool integrations, memory systems, and data pipelines.
Security Architecture Design
Design security controls aligned with OWASP Top 10 for LLM Applications and Agents — covering prompt safety, tool authorisation, data boundaries, and model governance.
Control Implementation & Testing
Implement input validation, output filtering, access controls, and monitoring. Validate with adversarial testing scenarios tailored to your deployment.
Operational Playbook & Monitoring
Deliver AI-specific detection rules, logging pipelines, and incident response playbooks so your team can operate securely at scale.
Engagement Scope and Deliverables
What's Included
- Threat modeling for LLM and agentic workflows, including tool use, memory, and external integrations
- Secure architecture patterns for cloud-hosted and self-hosted deployments across providers
- Data protection and access control design for prompts, context stores, and model outputs
- Security control baseline aligned with OWASP Top 10 for LLM Applications and OWASP Top 10 for Agents
- AI-specific detection, logging, and incident response playbooks
Expected Outcomes
- Security control baseline for agentic AI deployments in critical environments
- Conformity with recognized guidance such as OWASP Top 10 for Agents
- Reduced risk from prompt injection, tool abuse, model manipulation, and data leakage
Why Organisations Choose PrimeFaktor
We are a specialised cybersecurity consultancy — not a generalist firm staffing projects at scale. Every engagement is led by our senior architects, ensuring the depth and quality that critical environments demand.
Senior-Led Engagements
Every engagement is conducted by CISSP-certified, PhD-qualified security architects — the same people who designed the methodology.
Focused Attention, Not Volume
As a boutique consultancy, we offer a deeply specialised and personalised service. Your engagement receives dedicated focus — not a templated exercise.
Proven in Critical Industries
Our team has hands-on experience securing environments in automotive, healthcare, medical devices, and financial services — industries where AI security gaps carry tangible consequences.
EU-Based, Regulation-Aligned
Operating from Vienna, we work within GDPR, NIS2, EU AI Act, and European regulatory frameworks as standard practice — not as an afterthought.
Planning to deploy AI or AI agents in your enterprise environment?
In 30 minutes we align priorities and define next steps.