Cyber incidents. Financial irregularities. AI-driven activity. Digital evidence. Claims. We use AI-driven analysis to process complex evidence faster, identify relevant patterns and connect information across sources — with human forensic judgment at the centre.
Creator ForensicsModern investigations don't stay inside one department. Cyber becomes financial. Financial becomes digital. Digital is increasingly AI-driven. We bring those evidence layers together using AI-driven analysis, while human forensic judgment remains at the centre.
When the system says one thing and the evidence says “LOL, no.” AI-driven analysis helps process and correlate complex digital traces faster, while forensic judgment establishes the finding.
AI-driven analysis helps surface transaction patterns and relationships faster, while forensic review establishes the financial trail.
AI did something weird. Now everyone wants answers. We examine the evidence around AI-driven activity using forensic analysis and human judgment.
Delete button ≠ time machine. We acquire, preserve, examine and validate digital evidence, using AI-driven analysis where it can accelerate processing and correlation.
Test the story against the evidence. Validate incident narratives, records, technical circumstances and loss claims.
“Approximately ₹X crore” is not a methodology. Connect the incident to business interruption and financial impact.
AI systems leave evidence too. Prompts, outputs, retrieval activity, APIs, tools, agents and connected systems can all become part of the story.
The question isn't just “What did the AI say?”
It's “What happened around it, what influenced it, and what evidence supports that?”
A user interacts with an application. The application sends an instruction. The model processes it. Data may be retrieved. An API may be called. A tool may execute. An agent may continue the workflow. An output appears.
Our job is to examine the available evidence across that chain and reconstruct the relevant activity.
Review relevant instructions and interaction context surrounding an AI event.
Examine available evidence showing what information or data sources were involved.
Analyse generated outputs and surrounding system activity without treating the output in isolation.
Trace relevant execution paths, tool activity and connected workflow records where available.
AI-driven analysis helps us process complex evidence, surface relevant patterns and correlate information across sources faster. Human forensic expertise remains responsible for interpreting the evidence and establishing the finding.
We don't start with the answer. We start with what can actually be examined, correlated and supported.
Protect relevant evidence and maintain traceability.
Collect the relevant digital, technical and financial records.
Understand the individual artefacts before connecting them.
Connect activity across systems, people, records and transactions.
Build a defensible timeline of relevant events.
Challenge inconsistencies and test the available evidence.
Assess operational and financial impact where applicable.
Present clear findings and the evidence supporting them.
A cyber incident may create a financial trail. A financial fraud may create a digital trail. A claim may contain both.
Incident narratives, technical evidence, records, fraud indicators and claim authenticity.
Business interruption, downtime, revenue impact, recovery costs and claimed-loss validation.
Trade documentation, cargo movement, AIS/GPS, route activity, TBML indicators and financial records.
Technical controls, policy conditions, backups, access management and supporting evidence.
Deleted, corrupted or encrypted data, backup validation and technical recovery assessment.
Forensic reports, findings, expert opinions and support for insurance, legal, arbitration and dispute matters.
The same forensic capability can be applied to claims, fraud, business impact, marine and trade matters, technical investigations and expert reporting.
Validate incident narratives, records, technical circumstances and indicators of fraud or manipulation.
Connect technical events to downtime, business interruption, recovery costs and financial impact.
Investigate trade documentation, cargo movement, logistics records, transactions and related indicators.
Examine technical circumstances, controls, backups, access and supporting evidence.
Acquire, preserve, examine and validate relevant digital evidence with structured forensic methodology.
Turn complex evidence into clear forensic findings, reports and dispute-support documentation.
AI-driven forensic analysis for creators, brands and agencies dealing with account compromise, scams, suspicious activity, campaign questions and digital authenticity.
Investigate compromised accounts through suspicious logins, sessions, devices, unauthorized activity and incident reconstruction.
Investigate fake brands, fake agencies, phishing, payment scams, impersonation and fraudulent collaboration offers.
Analyse campaign performance, audience response, engagement patterns, deliverables, ROI and unusual performance signals.
Review public content and collaboration history for potential reputation, sponsorship, category and content-risk indicators.
Assess audience quality, follower-growth patterns, engagement behaviour, previous collaborations, associations and potential conflicts.
Analyse indicators around AI-generated or manipulated images, video, audio, deepfakes and reused or generated content.
Cyber incident, financial irregularity, AI-related event, questionable claim, digital evidence matter or disputed loss — start with what you know. We determine the appropriate forensic scope.
Talk to CYBENTISOur investigation, forensic technology and AI forensics centres across India.
WeWork Vaswani Chambers
1st Floor, 264–265, Dr. Annie Besant Road,
Worli, Mumbai, Maharashtra 400025, India
WeWork NESCO IT Park
Building 4, North Wing, NESCO IT Park,
Western Express Highway, Goregaon East,
Mumbai, Maharashtra 400063, India
WeWork World Trade Centre, Tower 5
Kharadi, MIDC Knowledge Park,
Pune, Maharashtra 411014, India