AI Security Reviews
Let us help secure your AI agents, LLM-based products and mitigating risks in your custom internal use cases.
They have trusted us
Hear from people we worked with
CTO Dean Rubin, Othentic Labs
Dean Rubin, CTO of Othentic Labs, partnered with Composable Security to conduct a thorough security review of the Rewards V2 smart contract module. The project aimed to verify the robustness of a new rewards distribution mechanism integrated with EigenLayer and ensure secure cross-chain operations across multiple Layer 2 networks.
CEO Amadeo Brands, YieldNest
Amadeo Brands, CEO of YieldNest, partnered with us to evaluate the security of their Max Vault integration with the Kernel protocol on BNB Chain. The goal was to ensure safe yield generation and optimize protocol robustness before launch.
Chief Architect Nick Velloff, Braintrust
Nick Velloff came to us for a security review of Braintrust, a decentralized talent network. The primary objective was to ensure the secure expansion of the Braintrust platform onto the Base network, validate integrations with third-party services such as Coinbase Onramp, and secure the wallet infrastructure used by its users.
Secure AI integrations based on years of Web2 experience
How to Secure AI Integrations and AI Agents?
Every Secure AI Integration and AI Agent audit includes thorough threat modeling, automated testing, and careful manual review by our team of experienced security experts. This process helps teams understand risks across their AI workflows, quickly address vulnerabilities, and maintain strong protection for their products and internal systems.
It includes both application-level and AI-specific components, including LLM integrations, agent logic, tool usage, permissions, data flows, prompt handling, and surrounding infrastructure. This not only helps remove vulnerabilities from the system, but also improves overall resilience, reliability, and security quality.
What’s in a Secure LLM-based Product Audit Report?
Audit reports provide a clear and detailed record of every identified vulnerability, categorized by severity from Critical to Informational. Each issue includes practical recommendations from security experts with experience in AI systems, LLM integrations, and agent-based workflows.
When a vulnerability is fixed before deployment, it is marked as resolved. If an issue remains unaddressed, we include an explanation of its potential impact, possible exploitation scenarios, and the project team’s reasoning.
An audit report shows that a team values security, reliability, and safe AI adoption. By auditing Secure AI Integrations and AI Agents, organizations can reduce risks related to data leakage, prompt injection, unsafe tool usage, excessive permissions, insecure workflows, and costly implementation mistakes.
Trust us, others have already done it
We understand that blockchain builders demand security that’s transparent, proactive, and reliable.
>
$
38
B (USD)
in TVL held by audited protocols
95
% clients
wants to have their next audit with us
>
60
% audits
reported and fixed Critical/High issues
50
% clients
already had more then one audit with us
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Tailored security solutions to meet the unique needs of your blockchain projects
Our services.
Smart contract audits
Secure your project
Verify personalized threats
Get extensively tested
Undergo manual review
Get detailed report
Threat modeling
Take part in a workshops
Introduce security by design
Expand the team’s knowledge
Improve security awareness
Get detailed report
Security consultations
Take advantage of expert advice
Gain confidence
Delegate work to professionals
Use a second opinion
Get detailed report
(Re)Staking
We provide in-depth audits for restaking protocols, focusing on security, reliability, and correct integrations with protocols like EigenLayer or Symbiotic.
Off-Chain
We run threat-based audits of off-chain systems like custom blockchain clients, bridges and L2 components, oracle networks, and Web2 integrations, mapping real attack paths and hardening the weakest links.
EVM
We specialize in Solidity and perform comprehensive audits across EVM-based smart contracts. Tokens, DeFi, Cross-chain, Liquid Staking, GameFI and many more. We identify vulnerabilities, verify logic correctness, and ensure alignment with best practices across various chains and frameworks.
medium
Node Operator can exit and slash their validator to move withdrawal finalization border epoch
Learn more
high
Enabling stETH deposits causes miscalculations and permanent losses for users as rebase tokens are not supported
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Frequently asked questions
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Paweł Kuryłowicz
Managing Partner & Smart Contract Security Auditor
Damian Rusinek
Managing Partner & Smart Contract Security Auditor
What is Composable Security?
We are a team of security experts specializing in Smart Contracts, Off-chain Components and AI Integrations. We perform threat-based security reviews that go beyond code, because in the systems we review the contract is often only half the system: oracles, bridges, backend services and AI agents carry as much risk as the code on-chain. We tailor every engagement to the client’s architecture instead of applying a one-size-fits-all checklist.
What is an AI security review?
An AI security review examines how your AI application works, what it can access, and how it could be misused. We review the integration, agent logic, permissions, and data flows to identify vulnerabilities and practical ways to address them.
What types of AI systems do you review?
We review AI agents, LLM-powered applications, and internal AI workflows, including AI-assisted development environments. The scope can cover connected tools, APIs, data sources, and the infrastructure supporting your integration.
How long does an AI security review take?
The timeline depends on your application’s complexity, integrations, and agreed scope. We assess these before the review and propose a schedule, including time for your team to address findings and for us to verify the fixes.
How much does an AI security review cost?
Pricing depends on the workflows, components, and integrations in scope, as well as their complexity and documentation. Share your architecture and requirements with us, and we’ll prepare a proposal tailored to your system.
What do I receive, and what happens after the review?
You receive a report with findings ranked by severity, their potential impact, and recommended fixes. After your team makes changes, we retest the reported issues to verify the fixes and remain available for follow-up security questions.