AI/LLM Security Assessments

We combine focused simulation of LLM-specific threats with traditional application security testing, conducting hands-on exploitation of the running software, target applications, and LLM endpoints.

LLM-specific attack simulation examines real-world adversary behaviors against your models. We test for data exfiltration via context leak chains and secrets extraction, jailbreak-style policy bypasses that ignore system instructions, and cost amplification or flooding attacks that abuse your infrastructure. Techniques like Unicode obfuscation and Base64-encoded payloads help us probe your content moderation capabilities.

Traditional application and API testing identifies foundational security weaknesses in the broader application ecosystem, including classic web and API vulnerabilities, as well as novel issues arising from AI-driven workflows.

For organizations leveraging cloud platforms in their AI stack, Bishop Fox tests your ecosystem against today's more advanced adversary tradecraft. We will assess your cloud-specific risks, uncovering privilege and data exposure risks, identifying insecure infrastructure by design, and revealing denial-of-wallet risks.

Our consultants execute a proven methodology that looks beyond basic misconfigurations and vulnerabilities to uncover deeper weaknesses and defensive gaps, from unguarded entry points to overprivileged access and vulnerable internal pathways. As a result, you receive valuable, focused insights into tactical and strategic mitigations that make the most impact on strengthening your resilience.

For the ultimate test, we emulate realistic, multistep adversary operations targeting your AI pipeline. Red team operations may execute scenarios such as OSINT reconnaissance followed by spear phishing of DevOps personnel, cloud pivots to access model artifacts, and eventual data exfiltration or extortion scenarios. We will also test across the full model lifecycle, injecting poisoned data during training and tampering with automated gates in your CI/CD pipeline to uncover trust boundary breakdowns.

Purple Teaming engagements help identify and resolve gaps in your detection and response capabilities in real time, using tailored test cases executed by our Red Team working directly with your Blue Team.

We will also assess your incident response readiness by running tabletop drills and identifying runbook gaps. This ensures your team is prepared to not just prevent AI-centric attacks, but also to recover if they occur.