Catch Synthetic Fraud at Ingestion
Voice-clone fraud incidents like the Arup video-call scam, which cost the firm $25.6M in a single day, show how far synthetic identity attacks have come. Aiscern's audio, image, and text ensembles screen calls, documents, and messages before they reach a decision point.
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Synthetic Identity Attacks Are Scaling
The AI content problem is getting harder to solve. Here's what professionals in cybersecurity face every day.
Voice clone fraud is bypassing traditional authentication
Real-time voice synthesis tools allow attackers to impersonate executives, family members, and customer service agents in live calls.
Deepfake identity documents fool KYC systems
AI-generated ID photos and synthesized video selfies are being used to bypass Know Your Customer verification at financial institutions.
AI-crafted spear-phishing is highly personalized
LLMs generate convincing, context-aware phishing emails at scale, with none of the grammatical errors that traditionally flagged phishing attempts.
Trust & Safety teams are overwhelmed by synthetic UGC
User-generated content platforms face massive volumes of AI-generated spam, synthetic reviews, and deepfake images that exceed manual moderation capacity.
How It Fits Your Workflow
Ingest Call or Document
Route inbound calls, emails, or documents to the API.
Run Ensemble Scan
Audio, image, and text models score the content in real time.
Alert With Confidence Score
The SOC dashboard receives structured JSON with a confidence score.
How Aiscern Solves It
Our ensemble-based detection pipeline combines 8+ specialized models with a confidence threshold system.Learn about our methodology →
AI Text Detection
Identify AI-generated phishing, social engineering, and synthetic content in ingested text streams.
Image Forensics
Detect synthetic identity photos, AI-generated profile images, and fabricated document imagery.
Voice Clone Detection
wav2vec2 spectral analysis flags AI-synthesized speech against ASVspoof benchmark datasets.
API Integration
High-throughput REST API designed for security platform integration. Sub-2-second text detection for real-time screening.
Batch Processing
Run bulk scans across ingested content queues. Prioritize high-risk items with confidence-score filtering.
SIEM-Ready Reporting
Scan results include structured JSON output compatible with SIEM ingestion and SOC dashboards.
ℹ️ Accuracy varies by content type and model generation date. Results are probabilistic — use alongside human judgment.See full benchmarks →
Real-World Use Cases
Real-Time Call Authentication
Challenge
A financial services firm needs to flag voice synthesis attempts during account access calls.
Action
The audio API is wired into the inbound call verification pipeline.
KYC Identity Document Screening
Challenge
A fintech company needs to catch synthetic ID photos and selfie videos at onboarding.
Action
Submitted documents run through the image pipeline as part of the onboarding stack.
Phishing Email Triage
Challenge
A SOC team is overwhelmed by inbound email volume during triage.
Action
Flagged emails are routed through the text API automatically.
How Aiscern Compares to Pindrop (audio only)
| Feature | Aiscern | Pindrop (audio only) |
|---|---|---|
| Modalities covered | Audio + image + text | Audio only |
| Text detection latency | Under 2 sec | N/A |
| SIEM-ready JSON output | ||
| KYC document screening | ||
| Enterprise SLA |
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Frequently Asked Questions
What is the latency of real-time audio detection?
Asynchronous audio detection processes a 30-second clip in approximately 3–8 seconds. Real-time streaming detection is on our roadmap. For call center integration, we recommend a post-call analysis pipeline initially.
Can Aiscern detect voice clones of specific individuals?
Our detection is general-purpose — it identifies AI-synthesized speech characteristics rather than comparing against a specific person's voiceprint. Speaker verification (matching a claimed identity) requires a separate biometric system.
What throughput does the API support?
Pro plans support 100 concurrent requests. Enterprise plans have custom rate limits. Contact us at /enterprise for high-throughput security platform integration requirements.
How does Aiscern handle evasion attempts?
We continuously update our ensemble models against known evasion techniques. Our text detection includes homoglyph and encoding attack detection. Adversarial robustness is an ongoing research priority.
Is there a SIEM connector available?
We provide structured JSON output via API. Direct SIEM connectors for Splunk and Elastic are on our roadmap. In the meantime, a lightweight middleware integration is straightforward via our REST API.
Ready to detect AI content in cybersecurity?
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