AI is the New Attack Surface
AI is no longer a future risk. It's a current attack surface. Whether your team is embedding LLMs into products, orchestrating autonomous agents, or consuming AI APIs, each introduces new classes of vulnerabilities that traditional security tools weren't designed to catch. Our AI Security services are purpose-built for the way AI actually works — covering the model, the pipeline, the data, and the runtime.
IS THIS SERVICE A RIGHT FIT FOR YOU?
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You are building or have deployed an LLM-powered product or feature
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Your developers are using AI coding assistants or AI-generated code in production
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You have agentic workflows where AI takes autonomous actions
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You're an AI startup that needs security credibility for enterprise customers or investors
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You want to understand your AI attack surface before a pen tester — or an attacker — does
Find Your AI Exposure Before Attackers Do
From data poisoning to insecure outputs, modern AI systems expose entirely new classes of vulnerabilities. Select any layer below to explore the threats — and our defenses.
Why AI Security Cannot Wait
Traditional security perimeters don't stop adversarial machine learning. As AI moves from prototype to production, the gap between deployment speed and security oversight is widening. We help you close that gap before it’s exploited.
74%
of security leaders say they have no formal process for evaluating AI system risks
#1
attack vector in deployed LLMs is prompt injection — with no single built-in defense
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LLM Top 10 is the de facto standard — most teams haven't assessed against it yet
CORE CAPABILITIES
Comprehensive AI Security Services
From data pipelines to autonomous agents, we secure every layer of your AI stack against emerging adversarial threats.
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AI Development Security
Security embedded into the AI/ML development lifecycle — from data pipelines to model packaging and deployment.
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Threat modeling for ML pipelines
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Secure training data handling & supply chain review
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Model artifact integrity (preventing tampering & poisoning)
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CI/CD security for AI workflows
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Dependency & open-source model vetting (Hugging Face, etc.)
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AI-BOM / SBOM for ML
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LLM Security
Hardening large language model integrations against prompt-based, inference-time, and retrieval attacks.
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Prompt injection & jailbreak assessment
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System prompt leakage testing
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RAG pipeline security (retrieval poisoning, data boundary enforcement)
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Output validation & content filtering architecture
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Model API security review (keys, rate limiting, logging)
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OWASP LLM Top 10 assessment
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Agentic AI Security
The highest-risk surface: AI systems that can perceive, reason, and act autonomously.
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Agent action boundary review
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Tool/plugin security assessment
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Multi-agent trust chain analysis
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Privilege escalation paths in orchestrated workflows
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Memory & context injection risks
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Human-in-the-loop control reviews
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AI Governance & Compliance Readiness
Helping organizations demonstrate responsible AI use to regulators, auditors, and enterprise customers.
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EU AI Act readiness assessment
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AI risk classification & documentation
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Data privacy review for AI systems (GDPR, CCPA)
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AI policy drafting (acceptable use, model governance)
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Security questionnaire support for AI vendors
Why Choose BisonCyber for Your AI Security?
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Dual-Domain Expertise
We understand both the security and the AI — not just one side.
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Battle-Tested Experience
Practitioners who have assessed real-world AI deployments, not just read the papers.
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Actionable Outcomes
We deliver actionable findings, not theoretical risk matrices.
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Stack Agnostic
Tailored to your stack — whether you're using OpenAI, Anthropic, open-source models, or all three.
