Cyber-intelligence and systems engineering for U.S. defense and federal agencies
Sentar is a defense-sector cyber-intelligence firm built on a Python + C++ + reverse-engineering stack (Ghidra, IDA Pro, Wireshark) paired with enterprise monitoring (Splunk, Bluecoat) and federal compliance infrastructure (FedRAMP, CMMC). Security hiring dominates the department mix—30 of 59 active roles—with 35 positions posted in the last 30 days, signaling aggressive scaling in response to federal contract demand. The pain-point list reveals contract operations friction: proposal efficiency, DCAA audit compliance, and end-of-life COTS replacement are blocking execution.
Sentar delivers cyber-intelligence solutions to the U.S. Department of Defense, Army, Navy, and related federal agencies. The company operates from five locations (Huntsville, Charleston, San Diego, Columbia, and San Antonio) and combines cybersecurity expertise, intelligence analytics, and systems engineering under a federal contracting model. Their technology foundation spans threat analysis tools (Ghidra, Wireshark), enterprise data platforms (Splunk, PySpark), and SQL-based infrastructure (SQL Server, Oracle, PostgreSQL, MongoDB). The business is structured around full-lifecycle federal proposal management, contract compliance (DCAA, FedRAMP), and operational systems administration for mission-critical environments.
Python, C++, PySpark, Ghidra, IDA Pro, Wireshark, Splunk, SQL Server, Oracle, PostgreSQL, MongoDB, AWS RDS, Azure SQL Database, Cisco, VMware, and Remedy IT Service Management.
Sentar is headquartered in Huntsville, Alabama, with additional offices in Charleston, San Diego, Columbia (Maryland), and San Antonio (Texas).
Sentar Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.