Autopilot Strengthens Database Security with Advanced Key Derivation Function (KDF)

C12 Holding March 12, 2025

New York City | 9 March 2025 – Autopilot has reinforced its database security infrastructure by implementing an advanced Key Derivation Function (KDF), a cryptographic technique designed to protect sensitive data from dictionary and brute-force attacks. This enhanced security measure ensures a robust encryption standard for safeguarding critical financial and transactional data.

How Autopilot’s KDF Framework Works

The Key Derivation Function (KDF) transforms a small key or password into a more secure, cryptographically enhanced derived key (DK) using a structured process:

DK = (Key, Salt, Iterations)

• DK (Derived Key): The final secure key used for database encryption.
• Key: The original input key (e.g., user passwords or access credentials).
• Salt: A large, randomly generated number (~2⁶⁴) that adds uniqueness to each encryption process.
• Iterations: The number of hashing repetitions (typically set to 1000 iterations), exponentially increasing computational effort for potential attackers.

These values (DK, Salt, Iterations) are securely stored within Autopilot’s encryption framework, ensuring each authentication request undergoes rigorous cryptographic processing.

Why This Matters for Security

By increasing the computational complexity of key derivation, Autopilot’s KDF implementation significantly reduces the feasibility of large-scale brute-force attacks. The Salt component plays a crucial role by preventing precomputed dictionary attacks, ensuring that each encryption process remains uniquely protected against unauthorized access attempts.

This security enhancement aligns with Autopilot’s commitment to data integrity and cybersecurity, reinforcing its database security infrastructure against evolving cyber threats while maintaining efficiency for authorized users.