Observed Signal · Jul 8, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Attestiv Launches DeepScan File-Validation Platform
Attestiv announced DeepScan, a new generative-AI-based platform that extends deepfake detection into contextual file validation for enterprise workflows. DeepScan performs unified, multi-modal analysis of photos, multi-page documents, audio and video, pairing a generative AI reasoning layer with a deterministic heuristic engine and configurable business rules. Features include dynamic rule configuration, contextual business checks, forensic and AI detection (including integration of Google AI detection signals where applicable), cryptographic duplicate/reuse detection, and enterprise API/workflow integrations. Attestiv says DeepScan is available now to enterprise customers via web app, automated workflows and APIs and cites measurable ROI from customers handling high-stakes file validation.
Enterprise product launch addressing deepfake and file-authenticity risks; relevant for fraud prevention and claims workflows but not an industry-shifting platform change.
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Key Takeaways & Evidence Grounding
- Attestiv announced DeepScan, a platform to automatically validate submitted photos, documents, audio, and video for enterprise workflows.
- DeepScan pairs a generative AI reasoning layer with a deterministic heuristic engine and supports unified multi-modal analysis.
- Capabilities include dynamic rule configuration, contextual business checks, forensic and AI detection, and cryptographic duplicate/reuse detection.
- DeepScan integrates third-party AI transparency signals, including Google AI content detection where applicable.
- DeepScan is available now to enterprise customers via web app, automated workflows, and APIs.
Connected Companies & Entities
4 Entities mapped“DeepScan integrates best-of-breed forensic and AI transparency signals, including Google AI content detection capabilities where applicable,...”
“Author: Globe Newswire...”
“MarTech Series is a leading publishing platform that provides daily updates on marketing technology news, in-depth interviews with industry ...”
“Marketing Technology News:[MarTech Interview with Liat Barer, Chief Product Officer @ Odeeo]...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Deepfake Fraud Tripled to $1.1B; Forensics Must Evolve
A DEV Community analysis reports U.S. deepfake-related fraud losses have tripled to $1.1 billion. The author argues the technical threat landscape has shifted: low-cost generative tools can produce convincing deepfakes in minutes for a few dollars and voice spoofing can reach high similarity from only seconds of audio. This makes manual, pixel-based forensic inspection insufficient. The piece calls for a move to vector-based, automated analysis—specifically facial comparison using Euclidean distances between face embeddings—plus liveness detection, batch temporal analysis, and enterprise-grade APIs that generate defensible, court-ready reports. The article frames the surge as a signal for developers building authentication, biometric, and investigative tooling to prioritize data-integrity approaches and scalable verification stacks.
iProov Launches Verified Meetings to Detect Deepfakes
iProov announced iProov Verified Meetings, a new product that embeds deepfake detection and hardware-integrity checks into video conferencing platforms to authenticate participants in real time. Delivered as a native plugin and part of the iProov Workforce Solutions Suite (supporting the Workforce “Pre-Join” journey), the solution runs silently and reports a Red/Amber/Green (RAG) authenticity status to hosts. iProov says the product combines imagery analysis and hardware integrity verification, is backed by its iProov Security Operations Center (iSOC) for continuous threat intelligence, and aims to reduce fraud risks in use cases such as onboarding, hiring, account recovery, and financial approvals. The company cited recent incidents — including a reported $25M loss at Arup and infiltration using synthetic media — as drivers for the product.
DoubleVerify Launches AI Verification to Combat Low-Quality Content
DoubleVerify announced DV AI Verification™, a new offering to identify and manage AI agent interactions and avoid low-quality AI-generated content. Integrated within DV’s Media AdVantage Platform, the solution aims to increase transparency, accountability, and performance across AI-enabled ad environments. DV reports analyzing nearly 2 billion monthly interactions with declared and undeclared AI agents, supported by a deep intelligence layer. The initial capabilities include Agent ID Measurement to identify and measure ad engagement with AI-powered chatbots, covering declared AI bots and undeclared scrapers as well as automated and agentic browsing sessions. The AI SlopStopper for Open Web, built on the prior Gen AI Website Avoidance tool, now sits within DV AI Verification and is available via Authentic Brand Suitability across 30+ major buying platforms (e.g., Amazon, Microsoft Invest, The Trade Desk, Yahoo) with post-bid insights through DV Pinnacle. A Social variant is planned for early 2026, with broader capabilities rolling out later in 2025 and into 2026.
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