How to Defend Against AI-Powered Identity Fraud
Discover how deepfakes, voice cloning, and AI-powered phishing are reshaping digital deception—and learn practical strategies to strengthen identity security with real-time, AI-driven defenses.
Stay informed with the latest on Deepfakes: explore news, trends, and insights into how AI-generated fakes impact information security.
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Deepfake technology uses artificial intelligence to create realistic but fabricated audio or video that depicts people saying or doing things they never did. This synthetic media can convincingly mimic voices and faces, making it difficult to distinguish genuine content from manipulated material. The technology relies on machine learning models trained on large datasets of real images and sounds to generate these forgeries.
In information security, deepfakes pose risks such as enabling sophisticated social engineering attacks where attackers impersonate trusted individuals to extract sensitive information or authorize fraudulent transactions. They also threaten biometric authentication systems that use facial or voice recognition, potentially allowing unauthorized access. Defending against deepfake threats involves deploying detection tools that analyze inconsistencies in media, implementing multi-factor authentication beyond biometrics, and training users to verify unusual requests through independent channels.
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Discover how deepfakes, voice cloning, and AI-powered phishing are reshaping digital deception—and learn practical strategies to strengthen identity security with real-time, AI-driven defenses.
Frame's AI Models Build Contextualized Security Lessons Automatically in MinutesFrame Security, founded by former Wiz product and sales leader Tal Shlomo, emerged from stealth with $50 million to build AI-generated cyber training and simulations designed to prepare employees for phishing, deepfakes, voice cloning and other personalized social engineering attacks.
Why CISOs Must Rethink Trust, MFA and Machine Identity GovernanceAI-driven phishing emails, voice deepfakes and synthetic identities have changed the threat landscape. Attackers now mimic trusted users with precision. Security teams can no longer rely on static controls or traditional verification methods.
Gartner's Apeksha Kaushik on Why Detection Alone Can't Stop ID ImpersonationOrganizations facing deepfake-driven impersonation attacks must move beyond traditional detection strategies and build stronger identity resilience. Security leaders should adopt layered defenses that combine detection, prevention and broader risk signals to disrupt attackers.
Analysts Urge Mandatory Guardrails on AI Agents, Identity and PrivilegeSecurity leaders are pressing Treasury to embed enforceable guardrails - covering adversarial testing, AI inventory, identity privilege mapping and real-time monitoring - into its forthcoming financial-sector AI guidance as deepfake fraud, data poisoning and autonomous agent risks escalate.
PM Starmer Calls Sexualized Deepfakes and Revenge Porn a 'National Emergency'The United Kingdom inched closer to requiring tech firms to scan all user-uploaded images, as Prime Minister Keir Starmer said sexualized deepfakes and so-called revenge porn constituted a "national emergency."
ACAMS Says Investigators Need Better Data, Architecture and AI-Based DetectionThe financial system has a trust problem driven by artificial intelligence, and CIOs looking to prevent fraud and other financial crimes will only face more challenges as criminals find new ways to use AI to swindle, according to an Association of Certified Anti-Money Laundering Specialists survey.
The Urgency of High-Assurance Identity Proofing Amid Growing Identity FraudRemote work has fueled a new crimewave built on stolen and synthetic identities. As deepfakes scale, high-assurance identity proofing - combining biometrics, liveness detection and verified IDs - becomes essential to verify users, prevent impersonation and protect enterprise access.
Also: How Non-Human Identities Redefine Security; the Delinea-StrongDM DealIn this week's panel, four editors discussed how deepfakes are reshaping digital Know Your Customer practices, what the rise of non-human identities means for CISOs and what Delinea's acquisition of StrongDM tells us about where the privileged access market is heading.
Easy-to-Use Deepfake Services for Criminals Rapidly Improving, Researchers WarnFinancial firms' fraud and risk teams must bolster know-your-customer checks in the face of increasingly effective and affordable deepfake technology and services that can generate synthetic identities, convincing face-swaps and defeat "live" biometric checks to bypass defenses, warn researchers.
Elon Musk's Social Media Network Faces Mounting Backlash from GovernmentsThe British communications regulator is formally investigating social media network X over the willingness of its Grok AI to let users virtually undress people, including minors. Ofcom said Monday that will probe whether X is complying with the Online Safety Act.
Experts on Cyberattacks, Deepfakes, AI and Geopolitical Strife in the Year AheadCyberattacks, nation-state hacking and geopolitical shifts dominated 2025, but the year will also be remembered as a turning point - where AI blurred the lines between real and fake and AI agents introduced new enterprise risks. Our panel of experts discusses the top 10 trends to watch in 2026.
Synthetic Entities, AI-Driven Scams, Stablecoin Misuse Pose Key Threats in 2026Artificial intelligence-powered scams reached new heights in 2025. In the coming year, those threats will evolve further, with synthetic entities, stablecoin abuse and deepfakes driving fraud campaigns. Banks and lenders need better data, reporting and regulations to stay ahead of fraudsters.
Keyless's Biometric Tech to Improve Privacy, Account Recovery and User ExperiencePing Identity will acquire Keyless to expand passwordless authentication to frontline workers who lack access to smartphones. The deal gives Ping deepfake-resistant, privacy-first biometrics that don't store user templates on servers, easing identity verification and account recovery.
In Today's Reality, Zero Trust Principles Matter, Verification Is an ImperativeThis month, a judge made history by throwing out an $8.7 million lawsuit after discovering something that had never before appeared in her courtroom: deepfake testimony. But these new legal lessons are already a reality in business: the need for trust, verification and authentic communication.
In Today's Reality, Zero Trust Principles Matter, Verification Is an ImperativeThis month, a judge made history by throwing out an $8.7 million lawsuit after discovering something that had never before appeared in her courtroom: deepfake testimony. But these new legal lessons are already a reality in business: the need for trust, verification and authentic communication.
Durand: Agentic Models Require Stronger Verification and Complex Access ControlsWith bots and personal agents poised to reshape digital identity, Ping Identity CEO Andre Durand says organizations must harden onboarding, reimagine omni-channel strategies and deploy "verified trust services" to combat fraud and deepfakes, especially in workforce and third-party access.
Series E Funding at $2B Valuation Fuels Fraud Defense, Identity Tech BuildoutWashington D.C.-area identity verification provider ID.me has raised $340 million to develop fraud-fighting technology and prepare for long-term expansion. The investment supports product innovation to stop AI threats such as deepfakes and fake businesses.
Ironscales Founder, CEO Eyal Benishti Pushes to Expand AI Protection Beyond EmailDeepfake phishing is escalating as cybercriminals deploy agentic AI to automate everything from data collection to social engineering. Ironscales founder and CEO Eyal Benishti outlines how phishing is targeting communication platforms beyond email, and how defenders can keep up.
Andrea Isoni of AI Technologies on Certifications, Deepfakes and ISO 42001AI misuse - from deepfakes to cyber incidents - continues to outpace regulation. Andrea Isoni, chief AI officer at AI Technologies discusses why stronger cyber laws, certification frameworks like ISO 42001 and risk-based prioritization are necessary to manage AI risks safely and compliantly.