Career Technology Cyber Security INDIA

With the rise of deepfakes and advanced editing tools, verifying the authenticity of multimedia files has become a major forensic challenge. AI-driven multimedia forensics helps investigators distinguish real from manipulated content with high precision. Image Forgery Detection AI scans pixel-level inconsistencies, lighting mismatches, cloning patterns, and compression artifacts to identify tampered images. Deepfake Identification Machine learning models detect unnatural facial movements, lip-sync errors, and micro-expressions not visible to the human eye. Audio Forensics AI analyzes voice patterns, background noise, frequency distortion, and speech anomalies to spot edited or synthetic audio. Video Integrity Analysis AI tracks frames, metadata, and motion patterns to uncover cuts, additions, or AI-generated sequences. Metadata & Hash Verification AI tools retrieve hidden metadata, timestamps, and hash deviations to confirm file origins and history. 🔹 Bottom...