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$
USD
I will do manual ai red teaming and psychological vulnerability testing
Ibrahim K.
About this gig
Traditional red teaming misses how AI actually breaks. Automated scanners check for token manipulation and basic prompt injectionbut they miss long-term relationship exploitation, identity manipulation, and trust-based compliance.
As the founder of Akhi Security, I provide expert manual adversarial AI red teaming focused entirely on the psychological vulnerabilities of your conversational LLM applications. If your chatbot has backend tool access or handles sensitive customer data, it can be socially engineered into abandoning its safety filters.
️ The Frameworks I Test Against:
- Emotional Rapport: Testing if sustained conversational presence can manipulate the bot into rule abandonment.
- Identity Malleability: Forcing the AI to question its base alignment or create unauthorized personas.
- The Wrapped Request: Leveraging the AIs core drive to be helpful against its safety constraints.
- Command-Driven Probing
What You Receive:
- Adversarial Test Log
- Vulnerability Severity Report
- Actionable Hardening Guidelines
Note: All testing is performed safely on your staging environments. Please message me before ordering to discuss you model's architecture!
Get to know Ibrahim K.
Ibrahim K.
CEO at Akhi AI Redteaming: LLM Safety and Security Expert
- FromNigeria
- Member sinceOct 2026
- Avg. response time1 hour
Languages
English, Yoruba
I am Ibrahim Kolade, CEO of Tasknory and Akhi AI Redteaming. I specialize in enterprise-grade AI safety alignment, LLM vulnerability testing, and adversarial red teaming. At Akhi AI, we help organizations secure their conversational models against safety bypasses, prompt injection, and complex psychological manipulation risks. Whether you are building a custom healthcare chatbot, a customer agent, or an enterprise LLM application, I bring executive-level oversight and proven methodology to harden your AI's guardrails. Let's make your AI safe.
FAQ
How does psychological AI red teaming differ from automated scanning?
Automated tools find syntax errors and basic prompt injections. We use manual human psychology to find complex conversational flaws, emotional manipulation risks, and guardrail erosion.
What AI models can you test?
We test all major LLMs (GPT, Claude, Gemini, DeepSeek, Kimi) and custom fine-tuned models. Our framework targets the core behavioral architecture of conversational AI.
Do you test on live production chatbots?
No. To keep your live operations completely safe, we perform all adversarial testing inside your dedicated staging, sandbox, or development environments.
What do you need to start testing?
We just need access to your staging chatbot interface or API endpoint. You do not need to share proprietary code or backend architecture.
What exactly will I receive?
You get a full prompt test log, a vulnerability severity report mapping failure points, and specific system prompt hardening guidelines to patch the flaws.
