Strengthening Defensive Cybersecurity and Penetration Testing Services Through Agentic AI and Automation

The District of Columbia government is seeking a vendor to provide an agentic artificial intelligence framework designed to strengthen its defensive cybersecurity posture and automate penetration testing. The agency requires a solution involving a team of specialized AI agents, each configured with specific tools, knowledge, and roles, that collaborate to execute complex cybersecurity workflows. This system must handle project management by devising high-level plans for security tasks, such as network enumeration or vulnerability assessment, using algorithms and security frameworks like MITRE ATT&CK. The selected vendor must deliver cyber analysis capabilities that interpret raw data from scans and tests to identify and prioritize defensive actions and vulnerabilities. This analysis must utilize vulnerability databases and threat intelligence feeds. Additionally, the solution must perform code generation and execution, translating high-level plans and priorities into executable code and command-line instructions, such as NMAP and Metasploit, and running them in emulated environments. Eligible bidders must be onshore United States organizations. The agency requires all work to be performed offsite. Bidders must submit their proposals digitally via email or online, and the agency is currently looking for proposals to determine the budget.