Case Studies

AI Security Outcomes

Anonymized examples of AI security work: what we found, why it mattered, and how outcomes were measured.

Featured

Fintech: Prompt Injection in a Support Agent

A fintech's customer-support assistant could call internal tools to look up accounts. Our red team chained an indirect prompt injection through a support ticket to those tools, reaching data the agent should never have exposed.

We deployed an LLM firewall with input/output filtering, tightened tool-call authorization, and added retrieval access controls — closing every exploit path before the public launch.

14
Injection Paths Closed
100%
Tool Calls Authorized
2wk
Pre-Launch Hardening
Fintech support agent architecture with a prompt-injection path blocked before internal tools
More Stories

Proven Results

Explore how we've helped organizations defend with AI and secure the AI they ship.

Clinical AI system protected by patient-data guardrails and governance controls
Healthcare

Health System: Clinical LLM Governance

Built a model inventory, PHI-leakage guardrails, and NIST AI RMF evidence for a clinical documentation assistant ahead of a board review.

9
Models Inventoried
AI RMF
Evidence Mapped
Shopping assistant workflow with pricing, coupon, and checkout abuse paths blocked
E-commerce

Online Retailer: Shopping Assistant Abuse

Red-teamed a customer-facing shopping assistant for jailbreaks, content-safety bypasses, and coupon/pricing abuse before a seasonal campaign.

11
Abuse Cases Fixed
LLM
Firewall Deployed
Manufacturing ML pipeline with dependency and training-data integrity checks
Manufacturing

Manufacturer: ML Supply-Chain Review

Reviewed third-party model dependencies and training-data sources for a predictive-maintenance pipeline, prioritizing data-poisoning and integrity risks.

23
Dependencies Vetted
OT
Risk Register
Multi-agent RAG architecture with retrieval boundaries and data-exfiltration controls
AI-Native SaaS

SaaS Platform: Agent & RAG Hardening

Hardened a multi-agent RAG product against prompt injection and data exfiltration, and mapped findings to the OWASP LLM Top 10 for customer security reviews.

17
Findings Closed
OWASP
LLM Top 10 Mapped
Public-sector AI use cases mapped to risk tiers and documented controls
Public Sector

Public Agency: EU AI Act Readiness

Helped an agency classify AI use cases by risk tier and document the controls and evidence needed for EU AI Act obligations.

AI Act
Risk Tiers Mapped
12
Controls Documented
Energy telemetry feeding autonomous security triage and containment across utility systems
Energy

Utility: Agentic SOC Rollout

Stood up AI-driven anomaly detection and agentic triage across identity and cloud telemetry for a utility modernizing its security operations.

63%
Faster Triage
24/7
Autonomous Coverage
Who We Secure

Sectors Shipping AI

Deep expertise across industries deploying AI into sensitive, high-stakes environments.

Financial Services

Securing AI copilots, fraud models, and assistants under banking and PCI-DSS obligations.

Healthcare

Guardrails and governance for clinical LLMs and diagnostic models handling PHI.

Public Sector

NIST AI RMF alignment and EU AI Act readiness for agencies deploying AI.

Critical Infrastructure

Protecting ML-driven monitoring and automation across energy and utilities.

AI-Native SaaS

Red teaming and LLM firewalls for products built on agents and foundation models.

Manufacturing

ML supply-chain and data-integrity protection for industrial AI systems.

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