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Cybersecurity Solution

Stop Synthetic Threats Before They Land

AI-powered fraud — voice clone scams, deepfake identity verification bypass, and AI-crafted spear-phishing — is the fastest-growing attack surface. Aiscern gives security teams multi-modal detection to stop synthetic content at every ingestion point.

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Synthetic Content in the Threat Landscape

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 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

01

Real-Time Call Authentication

A financial services firm integrates Aiscern's audio API into its inbound call verification pipeline to flag real-time voice synthesis attempts during account access requests.

02

KYC Identity Document Screening

A fintech company screens user-submitted selfie videos and ID photos through Aiscern's image pipeline as part of its onboarding fraud detection stack.

03

Phishing Email Triage

A SOC team routes flagged inbound emails through Aiscern's text API to identify AI-generated spear-phishing, reducing analyst triage time by prioritizing high-confidence synthetic content.

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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