Cybri is pitching a focused penetration testing service for large language models as enterprises lean on Artificial Intelligence to power critical workflows. The company frames the need with a 2024 data point that 87 percent of organizations faced an Artificial Intelligence powered cyber attack. It highlights that popular models such as ChatGPT and Claude, along with enterprise fine tuned variants, introduce new attack surfaces that require specialized testing.
The service targets real world risks including prompt injections and jailbreaking, data leakages, adversarial manipulation that can distort outputs or poison training data, and API misconfigurations that open pathways for unauthorized access. Cybri warns these weaknesses can translate into tangible business fallout, including compliance violations, reputational damage, and revenue loss.
Cybri’s approach is structured in phases. It begins with scoping and threat modeling to map critical systems, data flows, and attacker profiles, then moves into adversarial testing to simulate prompt injections, jailbreaks, and data exfiltration attempts. The firm’s US based ethical hackers conduct red teaming to mirror real attacker behavior, and senior testers augment coverage with Artificial Intelligence powered agents. The engagement concludes with reporting and guidance designed to be clear and actionable for executives and technical teams.
Deliverables include a detailed vulnerability report specific to Artificial Intelligence and large language model systems, a prioritized remediation roadmap mapped to risk severity, and business impact analysis that translates technical findings into compliance, financial, and reputational risk terms. Cybri also emphasizes compliance alignment with frameworks such as SOC 2, HIPAA, PCI DSS, and GDPR, and provides stakeholder ready reporting with tailored executive summaries and technical details.
According to the company, this testing is distinct from traditional network and app assessments because it focuses on adversarial prompts, data exfiltration, and model manipulation. Tests are scoped to avoid disruption, and most assessments run two to four weeks depending on scope and integrations. Cybri provides step by step remediation guidance and can retest once fixes are applied. The offering is positioned for SaaS, cloud, and Artificial Intelligence driven technologies, and is supported by client testimonials from organizations including MyPostcard, Pangea.app, Intus Care, Cherre.com, HealthCare.com, and Cylera.
