highlights AI's role in enhancing threat detection and incident response in enterprise security, emphasizing benefits like improved detection, automated responses, proactive vulnerability management, and continuous learning. It also discusses challenges such as implementation complexity, ethical/legal issues, false positives, and data quality.

In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have become essential tools for business productivity. However, the use of public LLMs poses data security risks, leading to the growing demand for private LLMs that offer better compliance with privacy regulations and corporate security standards, ensuring data protection and legal adherence.

Our integrated strategy employs AI, digital forensics, and OSINT to counter deepfakes, utilizing advanced techniques for nuanced detection and digital security enhancement.