As synthetic media continues to evolve, it remains tempting to think that deepfakes are a futuristic concern—perhaps no harm has occurred to your business to date, and you only read about deepfake incidents occasionally as something on the distant horizon. Meanwhile, reality reveals that deepfakes are a real and growing threat to businesses across all industries. Whether it’s faked documents, AI-generated videos, or altered photos, the risks of reputational damage, fraud, and data loss are higher than ever.
So, how do you know if your business is vulnerable? Here are 5 signs you might need deepfake detection and protection now:
1. You Rely on Photo or Video Evidence in Customer Workflows
If your company uses images or videos as part of its operations—whether it’s verifying claims, onboarding users, or documenting inspections—you’re at risk. Deepfake media can be used to manipulate visual evidence, mislead reviewers, or commit fraud that can cost your business millions.
Use Case: Insurance companies using forensic photo and video analysis can flag suspicious tampering in seconds, ensuring only authentic media enters business workflows.
2. You Process Large Volumes of Customer Submitted Documents
Faked or altered documents are a growing source of corporate fraud. Whether you’re reviewing invoices, ID cards, employment applications, rental applications, loan application, or compliance paperwork, AI-generated text and forged images are becoming harder to spot manually.
Use Case: Financial services and HR departments rely on forensic document analysis tools to detect inconsistencies, edits, and embedded synthetic artifacts—automatically and at scale.
3. Your Brand Reputation Depends on Trust
If public trust is vital to your business—especially in sectors like media, healthcare, finance, or government—then a single manipulated media incident can cause serious reputational harm.
Use Case: Companies are monitoring content to protect brand reputation, by screening all publicly posted media (e.g., social uploads, testimonials, endorsements) to ensure authenticity before it’s published or shared.
4. You’re Building or Offering Self-Service Experiences
Automated claims, self-service onboarding, and mobile workflows are great for scale—but they also remove the human element of review, making you more vulnerable to synthetic submissions.
Use Case: With cloud-native API and UI forensic tools, companies can embed real-time deepfake checks into their existing apps, web forms, and mobile processes, keeping automation secure.
5. You’ve Had a Close Call or Suspected Incident
If your fraud, compliance, or security teams have already encountered suspicious images, documents, or videos—or had to investigate questionable content—it’s time to act. Waiting is taking a big gamble that the next incident will not be something serious.
Use Case: AI forensics tools can analyze historical content and help audit existing submissions, giving your team insight into risks that might have flown under the radar.
Final Thought: Deepfakes Aren’t Coming—They’re Here
You don’t need to overhaul your systems to protect your business. With Attestiv’s flexible tools and APIs, you can start small, screen selectively, and expand coverage over time.
Ready to take the next step?
Explore the Attestiv platform or contact us for a demo.
