We secure both traditional and decentralized AI systems, including use cases across Web3, DeFi, and autonomous agents. Our team applies advanced threat modeling, secure architecture design, and continuous behavior testing to help organizations manage risk across the AI lifecycle.
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What We Deliver:
‍→ AI Threat Modeling & Risk Assessment
Identify critical attack vectors across LLMs, AI agents, and orchestration frameworks such as LangChain and AutoGPT.

‍→ Prompt Injection & Model Misuse Testing
Simulate real-world manipulation tactics to evaluate how your models respond to adversarial prompts and unsafe inputs.

‍→ Access Control & Firewall Implementation
Deploy AI-specific firewalls to restrict model behavior, block unfiltered prompts, and enforce safe execution policies.

‍→ Decentralized AI Security Audits
Review agent logic, smart contract integrations, and on-chain interactions for vulnerabilities unique to AI-powered Web3 protocols.

‍→ Behavior Monitoring & Jailbreak Detection
Continuously monitor agent activity to detect behavioral anomalies and unauthorized outputs in real time.

‍→ Incident Response & Red Team Simulation
Run simulation-based red teaming exercises to assess resilience, improve guardrails, and strengthen detection workflows. mitigate these evolving threats early, before they cause real damage.
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Why It Matters:
→ AI systems often lack traditional input/output validation
→ Decentralized agents may operate autonomously with access to critical systems
→ Prompt-based exploits can bypass safety rules and expose sensitive data
→ Lack of guardrails increases the risk of irreversible data breaches


Our Program Helps You:
→ Build AI with trust, security, and compliance in mind
→ Safeguard user data and system integrity
→ Strengthen defenses before attackers test them