Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Candidate verification: Stop fraud before it enters your workforce

Jul 2, 2026 By Persona In Persona
Sophisticated fraudsters are now targeting the recruiting process. Whether it's a "fake" candidate built on synthetic data, an interviewee hiding behind a deepfake, or a candidate getting a friend to take their technical test, hiring teams are facing a fraud crisis.
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New pattern analysis techniques to defend against fraud

Jul 2, 2026 By Persona In Persona
Sophisticated fraudsters scale systems to increase their ROI. But it’s also a weakness that you can exploit to shut down fraud rings and keep attacks from scaling. In this discussion, fraud experts Nisreen Hussain, Irfan Faizullabhoy, and Ashley Fang show off how pattern and link analysis stop AI-powered fraud, account takeovers, and large fraud rings.
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Gen. AI used to mislead victims in fraud campaigns

Jul 1, 2026 By LimaCharlie In LimaCharlie
It is almost impossible to trust the source of an image or video anymore. On The Cybersecurity Defenders Podcast, Tamas Kadar, CEO and Co-Founder of SEON, explains how generative AI has reshaped what fraudsters can pull off. Setting up sophisticated fraud operations no longer requires coding skills, and synthetic identities and deepfake documents have become convincing enough that visual verification alone is no longer reliable.
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The MemcycoFM Show: Ep25 - How to Detect Brand Impersonation: Key Signals for Security Teams

Jun 30, 2026 By Memcyco In Memcyco
In the recently published blog from @Memcyco titled 'How to Detect Brand Impersonation: Key Signals for Security Teams', we discussed brand impersonation detection, the process of identifying fake domains, cloned brand experiences, and the exposure signals that show attackers are using a trusted brand to deceive customers, employees, or partners. For security teams, the harder problem is not finding every impersonation asset. It is knowing which signals indicate live user exposure and which ones should change the response.
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How to Avoid eBay Scams: What Buyers & Sellers Need to Know

Jun 29, 2026 By Avast In Avast
eBay is one of the biggest online marketplaces in the world, but scammers are active on both sides of every transaction. Whether you're buying or selling, knowing what to look for can make all the difference. In this video, we break down: The most common eBay buyer scams — fake deals, missing items, phishing links How sellers get targeted — fake payments, overpayment scams, and false "item not received" claims.
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Fake Bots, Fake Sites, Fake Trades: CS2 Scams to Watch For

Fake Bots, Fake Sites, Fake Trades: CS2 Scams to Watch For

Jun 29, 2026 By SecuritySenses In SecuritySenses
Thousands of dollars move through CS2 every day. Skins pass from one account to another, trades happen by the minute, and the money flowing around them long ago outgrew simple in-Steam trading. The more money there is, the more people want to take it by deceiving players. These scammers don't hack directly; they don't write complex exploits or break into servers. Instead they copy what you already trust. Below are the three schemes that even experienced traders fall for, no fluff and no fiction, just what actually works against CS2 players today.
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Using 100+ Signals to Capture 100M Fraudsters

Jun 28, 2026 By Persona In Persona
Over 100 behavioral and technical risk signals can be captured in every verification. But knowing which ones to use and combine can be difficult. In this webinar, three fraud and identity practitioners break down how to stack signals to catch synthetic IDs and GenAI-driven fraud without blocking legitimate users.
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FTC Report: Americans Lost $3.5 Billion to Imposter Scams Last Year

Jun 26, 2026 By KnowBe4 Team In KnowBe4
Imposter scams were the most commonly reported type of fraud in 2025, with Americans reporting $3.5 billion in losses, according to new data from the US Federal Trade Commission (FTC). Reported losses have increased nearly three times since 2020, and the true number is likely much higher since many scams go unreported. Losses across all types of fraud surged to $16 billion, a 25% increase compared to 2024.
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