AI-powered agents are rapidly transforming workflows across Web 3 and enterprise applications. From executing smart contract transactions to generating autonomous code, AI is now an active participant in digital ecosystems. However, these advancements introduce new security risks—compromised agent wallets, unauthorized transactions, blind signing, adversarial AI attacks, and data poisoning can lead to catastrophic failures. Additionally, automated code signing by AI agents raises concerns about the integrity of deployed smart contracts and software updates, as compromised signing keys or flawed AI-generated code could introduce backdoors and vulnerabilities.
To mitigate the above risks introduced by autonomous AI agents, Lock-Keeper can provide cryptographically enforced guardrails to reduce your attack surface, including:
| Security Properties | Benefits to AI agent frameworks |
|---|---|
| Secure Key Management |
Utilizing advanced cryptographic techniques, Lock-Keeper ensures that private keys remain protected, preventing unauthorized access and safeguarding digital assets. |
| Policy-based Access Controls |
By enforcing stringent access policies, Lock-Keeper ensures that AI agents operate within predefined parameters, reducing the likelihood of unauthorized actions. |
| Cryptographic Attestation with Enclaves |
Each action taken by an AI agent is cryptographically verified, ensuring the integrity and authenticity of operations. |
| Real-time Audit Trail |
Lock-Keeper maintains detailed logs of all AI agent activities, enabling real-time monitoring and facilitating swift responses to potential threats. |
In summary, Lock-Keeper provides a zero-trust security layer for AI-driven workflows, ensuring that AI agents operate safely within defined policies. Our secure key management prevents unauthorized access to private keys, while policy-based access controls enforce safeguards on every AI action. Additionally, cryptographic attestation with secure enclaves ensures that each transaction or code execution is verifiable and tamper-evident. With real-time audit trails, enterprises can track AI decisions and mitigate risks before they escalate. Finally, our upcoming support for MPC/TSS protocols brings shared custody models to an already powerful security framework for any type of digital asset.
As AI agents become more autonomous and embedded in organizations, security can’t be an afterthought. Whether you’re building AI-powered trading bots, autonomous smart contract deployers, or AI-driven security tools, Lock-Keeper ensures every action is cryptographically verified, policy-enforced, and secure. Integrating Lock-Keeper into your workflows is imperative to ensure security and minimize trust.
Schedule a demo today to explore how Lock-Keeper can fortify your AI initiatives.