Services

Security testing of machine learning models for novel vulnerabilities including prompt injection, model manipulation, data poisoning, and jailbreak techniques using frameworks like MITRE ATLAS. Sub-services include agentic AI goal hijacking defense, large language model penetration testing services, data poisoning vulnerability assessments, and continuous AI red teaming programs.
Simulated adversarial attacks against generative AI systems (LLMs, image generators) to uncover critical vulnerabilities like prompt injection, jailbreaking, and data leakage before malicious actors exploit them, using frameworks like MITRE ATLAS.
Comprehensive security audit of the entire AI development lifecycle, from third-party model repositories and training data sources to deployment pipelines, to identify and mitigate risks of poisoned models, backdoors, and compromised dependencies.
Specialized security testing for Retrieval-Augmented Generation architectures, targeting vulnerabilities in vector databases, document chunking, and retrieval logic to prevent data poisoning, context corruption, and unauthorized knowledge base access.
Security assessment and hardening of autonomous AI agents and multi-agent systems against manipulation, where adversaries attempt to subvert the agent's objectives, corrupt its tool usage, or induce harmful autonomous actions.
Adversarial testing of AI systems integrated with physical hardware—such as industrial robots, drones, and autonomous vehicles—to identify vulnerabilities that could lead to safety-critical failures or malicious control.
Tailored adversarial testing for custom, fine-tuned language models in high-stakes industries like healthcare, finance, and legal, focusing on domain-specific jailbreaks, compliance violations, and specialized prompt injection techniques.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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