Security is more than a checklist.
Traditional penetration testing doesn't work on LLMs. You need experts who understand prompt injection, latent data leakage, and autonomous loop vulnerabilities. At Bithost, we dive deep into your model’s behavior to find the gaps before attackers do.
01
LLM Security Testing
We try to "break" your LLM using jailbreaks and indirect injections to see if it exposes your system prompts or private data.
02
Agentic AI Audits
If your AI can use tools (APIs, Browsers, Databases), we audit the permissions to prevent "Excessive Agency" and unauthorized actions.
Red Teaming
Simulated attacks on your AI infrastructure to test real-world resilience.
Data Privacy
Ensuring PII is never stored in weights or leaked in completions.
Policy Check
Automated checks to ensure AI responses match your brand guidelines.
Tool Safety
Sandboxing your agentic tools so they can't cause damage to your DB.
Bring your AI into compliance.
Whether it's EU AI Act, DPDP, GDPR, HIPAA, or your internal company guardrails, we help you set up an environment where AI agents operate within strictly defined legal and ethical boundaries.
Human-in-the-Loop
Design workflows where critical AI decisions require human approval.
Traceable Logs
Human-readable logs for every single step an AI agent takes.
Policy Enforcement
Real-time filtering to stop non-compliant responses immediately.
Frequently asked questions
Here are some common questions about our services.
Agents are different from simple chatbots. They have the power to do things, send emails, access databases, or write code. This "Agency" creates risks that traditional security doesn't cover. We specialize in those "execution-level" risks.
A standard LLM penetration test takes about 10-15 business days. For complex Agentic environments with multiple tool integrations, it can take 5-7 weeks to map out every possible failure point.
Yes. We specialize in setting up the technical guardrails (logging, bias checks, and risk thresholds) that regulators now require for high-risk AI applications.
Yes, we deploy real-time observability guardrails that flag anomalous AI behavior, hallucinations, or attempted exploits as they happen in production.
A one-time audit is a snapshot. For high-growth startups, Bithost sets up automated "Evals" that run during every CI/CD deployment to catch security regressions before they go live.
RAG security focuses on preventing unauthorized access to the vector database, while model security focuses on the LLM's behavioral boundaries and response generation.
We prevent prompt injection by implementing a "Defense-in-Depth" strategy, combining system prompt hardening, input/output filtering, and strictly sandboxed tool environments.
Let's Connect
Not sure what you need? We offer a free 30-minute security consultation to look at your architecture and tell you where the biggest risks are. No pressure, just helpful advice.
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