The implications of AI in the development of offensive cybersecurity tools include:

1. **Enhanced Capabilities**: AI can automate and improve the efficiency of attacks, allowing for more complex and adaptive methods that can outsmart traditional defenses.

2. **Increased Accessibility**: AI tools may empower less skilled individuals to carry out sophisticated cyber attacks, increasing the overall threat landscape.

3. **Targeted Attacks**: AI can analyze vast amounts of data to identify vulnerabilities in specific systems, facilitating more precise attacks.

4. **Rapid Evolution**: The speed at which AI can learn and adapt can lead to faster development of new, unforeseen tactics, making defenses less effective.

To regulate the use of AI in offensive cybersecurity tools:

1. **Legislation**: Governments can create laws that define what constitutes acceptable use of AI in cybersecurity, focusing on ethical standards and consequences for misuse.

2. **Licensing and Oversight**: A licensing system could ensure that only qualified entities can develop or deploy offensive AI tools, with regulatory bodies overseeing compliance.

3. **Transparency**: Encouraging transparency in AI development, including open reporting on capabilities and uses, can help monitor and mitigate risks.

4. **Collaboration**: Establishing partnerships between tech companies, governments, and international organizations can lead to shared best practices and unified approaches to regulation.

5. **Ethical Guidelines**: Developing and promoting ethical guidelines for AI use in cybersecurity can help set industry standards and foster responsible practices.