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Imperva Research Labs Uncovers Global Rise in Security Incidents in August 2020 Cyber Threat Report
Australia, the United Kingdom, and Canada hit by the largest increase in incidents as data leakage attacks are also on the rise
Imperva, Inc., the cybersecurity leader championing the fight to secure data and applications wherever they reside, published its August 2020 Cyber Threat Index Report. The report showed most countries saw an increase in the number of security incidents in August. Simultaneously, the number of data leakage attack attempts also grew, targeting Apache servers, Git repositories, and databases.
The monthly report also revealed the overall Cyber Threat Index score rose for the second month in a row, gambling sites are facing larger DDoS attacks, and the number of high-risk vulnerabilities is growing.
Key findings between August 1 and August 30, 2020 include:
- Globally, the number of security incidents increased during August. Most countries experienced more security incidents in August than June and July. The largest increases in incidents were in Australia (+19%), the United Kingdom (+15%), and Canada (+13%). The only exception to this global trend was Russia, which saw the volume of incidents reduce by 6%.
- Data leakage attack attempts are on the rise. The number of data leakage incident attempts grew by 30% in August, targeting Apache servers, Git repositories, and databases. The most targeted industry for these attacks was Financial Services, which experienced a 55% growth in data leakage attack attempts since May.
- Overall Cyber Threat Index score rose for the second month in a row. The CTI score went up by six points both in both July and in August, reaching a score of 798, due to the increase in revealed high-risk vulnerabilities and a 5% increase in security incidents. Counterintuitively, the volume of blocked malicious requests dropped, indicating more targeted tactics and fewer randomized “spray-and-pray” attacks.
- The size of application DDoS attacks against gambling sites is increasing. DDoS attacks against gambling sites grew larger in size over the past few months. Imperva Research Labs measured a 281K requests per second (RPS) attack in August and a 250K RPS attack in July—larger attacks in comparison to the months prior.
- The number of high-risk remote code evaluation (RCE) and remote file inclusion (RFI) vulnerabilities is growing. Continuing a trend Imperva Research Labs has observed over the past eight months, the number of published vulnerabilities continues to increase. More than 250 vulnerabilities published in August—half of which were published with an exploit, and 5% of them are considered “high risk.”
- Travel industry traffic volume drops to a third of August 2019 levels. From November 2019 to April 2020, traffic decreased every month as the COVID-19 pandemic spread, becoming a global crisis. Although travel site traffic kicked off an upward trajectory in May 2020, it remains far below its pre-COVID 19 level. In addition, the number of security incidents in travel websites also decreased by 40% when compared to this time last year.
The Cyber Threat Index is a monthly measurement and analysis of the global cyber threat landscape across data and applications based on data gathered from Imperva sensors all over the world—including over 25 petabytes of network traffic passing through the Imperva CDN per month. With over one trillion total requests analyzed and 21 billion application attacks blocked, it offers an unrivaled comprehensive look at application security and provides an easy-to-understand score to consistently track cyber threat levels and observe trends over time. Viewers can dive deeper into the score and drill down for individual industries and countries, and also view historic Index scores.
The August 2020 Cyber Threat Index is available at https://www.imperva.com/cyber-threat-index/.
“Countries around the world are dealing with a similar problem in terms of increased security incidents. This is also exemplified by the increase in specific threats such as data leakage attacks, and vulnerabilities like RCE and RFI,” said Nadav Avital, head of security research at Imperva. “Furthermore, even though the volume of blocked malicious requests dropped, organizations must not lose focus, or assume they are safer because volume is down. Additionally, to address data leaks they must ensure assets are properly configured, to only allow necessary access to their systems.”
The Cyber Threat Index was created by Imperva Research Labs, a premier research organization for security analysis, vulnerability discovery, and compliance expertise. The organization provides round-the-clock research into the latest security vulnerabilities and is comprised of some of the world’s leading experts in data and application security.
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Canada
XSOLLA STRENGTHENS COMMITMENT TO ATLANTIC CANADA’S GROWING GAME INDUSTRY WITH EXPANDED EVENT PRESENCE
Global Video Game Commerce Company To Support Industry Growth Through Panels, Workshops, And Community Engagement Across Atlantic Canada
Xsolla, a leading global video game commerce company, today announced its participation in two major gaming industry events taking place across Atlantic Canada from June 3-5, 2026, reinforcing the company’s commitment to supporting regional game development ecosystems and fostering industry collaboration.
Xsolla will participate in both Game Invest East and XP Game Connect Atlantic, joining developers, publishers, investors, and industry leaders for discussions centered on the future of game development, investment, and innovation in the local area.
At Game Invest East, held in partnership with Scaffold, Xsolla will contribute to conversations around funding, growth opportunities, and the evolving business landscape for game studios.
Featured on the panel titled “If You Can Make It Here,” Xsolla’s Manny Hachey, Senior Director of Developer Success, joins Kate Edwards, CEO and Principal Consultant of Geogrify, and Amir Satvat, Business Development Director at Tencent Games, founder of Always Supporting the Games Community (ASGC), and a 2026 GamesBeat Visionary Award honoree, to explore how new regions and new entrants can survive and thrive in disruptive times.
Hachey, a native of Atlantic Canada, was personally requested by Scaffold to represent Xsolla at the event — a homecoming that adds a personal dimension to the panel’s central thesis. Having built her career and made her mark in Germany’s games industry, she returns with a firsthand perspective on what it takes to leave, build something meaningful abroad, and come back with proof of concept.
Xsolla will continue its Atlantic Canada engagement at XP Game Connect Atlantic in Halifax on June 5. John Nguyen, Regional Vice President, Canada at Xsolla, and Ted DiNola, Developer Evangelist at Xsolla, will host a workshop titled ‘Full Picture to Fast Lane: Xsolla Ecosystem Overview & Live SDK 3 Integration’, providing practical insights and actionable strategies for developers navigating today’s rapidly evolving gaming market.
Nguyen will also host a panel titled, ‘What Does the Future of Game Development Look Like in Atlantic Canada?’ where he will be joined by industry experts, including Ryan Filsinger from Iron Fox; Shawn Woods, CEO at Alpha Dog and VP of Interactive Society of Nova Scotia; George Greer, Founder of Besszong; and Jade Yhap, President of Interactive NB. The panel will explore the region’s growing role in the global games industry and the opportunities ahead for studios, talent, and ecosystem partners.
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“Atlantic Canada continues to emerge as an exciting hub for game development talent and innovation,” said John Nguyen, Regional Vice President, Canada, at Xsolla. “Xsolla is proud to support these events and contribute to conversations that help empower developers, build ecosystems, strengthen industry connections, and accelerate growth across the region.”
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“Events like Game Invest East and XP Game Connect Atlantic are critical for building stronger connections across the games industry,” said Berkley Egenes, Chief Marketing & Growth Officer at Xsolla. “Atlantic Canada has a growing community of talented developers, creators, and industry leaders, and we’re excited to be part of conversations that help to shape the future of gaming in the region while supporting studios at every stage of growth.”
Through its participation in these events, Xsolla aims to deepen relationships within the Atlantic Canadian game development community while supporting knowledge-sharing, collaboration, and long-term ecosystem growth.
For more information about Xsolla’s participation in these events across Atlantic Canada, visit: xsolla.pro/Atlantic-Canada
The post XSOLLA STRENGTHENS COMMITMENT TO ATLANTIC CANADA’S GROWING GAME INDUSTRY WITH EXPANDED EVENT PRESENCE appeared first on Americas iGaming & Sports Betting News.
Updates include Network Detection, AI Chart Builder and an AI Playbook, with integrations for third-party AI tools via the MCP standard.
SEON has rolled out new AI capabilities for its fraud prevention and AML compliance platform, including a Model Context Protocol (MCP) server designed to connect SEON data to external AI tools. The company said the MCP server, Network Detection, AI Chart Builder and an AI Playbook for Risk and Compliance Teams are available now to SEON customers.
The MCP server is positioned as a way for analysts to use third-party AI tools while pulling investigation context from SEON. SEON said analysts can connect tools including Claude, ChatGPT, Gemini and Microsoft Copilot to “900+ real-time risk signals spanning identity, device, behavioral, AML and IP data,” with signals accessible “in a single call” via the open MCP standard.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
SEON also introduced Network Detection and AI Chart Builder inside its platform. Network Detection builds on SEON’s network analysis features released last year, and “continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses” to surface suspicious clusters. AI Chart Builder generates data visualizations from natural-language questions using live SEON data, targeting reporting and dashboarding needs typically handled through BI teams or spreadsheet exports.
Customer TurboTenant said it is already using the MCP approach in production workflows. “The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
To support adoption, SEON said it is shipping an AI Playbook for Risk and Compliance Teams alongside the releases, including “pre-built agentic skills” such as a fraud analyst daily briefing and a decline spot-check, compatible with the MCP server. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going,” said Mostafa Hassanin, CISO, SMG Marketplace.
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Artificial intelligence
SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool
New MCP server, Network Detection, AI Chart Builder and AI Playbook give fraud and AML teams more ways to put AI to work
SEON, the AI Command Center for Fraud Prevention and AML Compliance, has built a platform where flexibility is an accent of its architecture. With SEON, customers can ingest any custom field or data type, build any rule or alert they need, and investigate in system driven workflows that represent the way their team operates. Most importantly, they can choose a rules-based policy, one driven by AI or a hybrid decisioning model that leverages both. SEON has the capabilities to meet teams how and where they actually operate.
Today, the company extends that same flexibility to the use of AI in the fight against fraud and financial crimes. A Model Context Protocol (MCP) server opens SEON’s data layer to whichever AI tool a team prefers. Two additional capabilities, Network Detection and AI Chart Builder, connect SEON’s existing capabilities in automation and business intelligence. To support adoption, an AI Playbook for Risk and Compliance Teams ships alongside them, giving customers a practical starting point for putting their MCP connection to work quickly.
Access to AI Has Outpaced Access to Risk Data
For most fraud and AML teams, AI is accessible but still hard to put to real work. Analysts have ChatGPT, Claude or Gemini at their fingertips. What they don’t have is a clean way to get their investigation data into those environments. Instead, they manually paste in transaction records, customer profiles and risk signals, losing context at every step and creating security risks for their organization. According to the 2026 Fraud and AML Leaders Report, 98% of fraud and AML leaders are already using AI in their workflows. The tools are there. The data pipeline is not.
An Open Foundation for Any AI Tool
SEON’s MCP server addresses that gap. Analysts can link Claude, ChatGPT, Gemini, Microsoft Copilot or any custom agent to SEON’s 900+ real-time risk signals spanning identity, device, behavioral, AML and IP data. All signals are accessible in a single call, so the AI spends its token budget and processing time on analysis rather than pulling data from multiple systems. Because the integration uses the open MCP standard, customers are free to use whatever works best today and switch to a stronger option tomorrow without rebuilding anything.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
“The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
Meeting Teams Where They Are
Some customers are ready to run their entire risk operation through an agentic platform. Others want AI working inside the SEON interface they already use. Most are somewhere in between. SEON supports all team preferences, whether they work inside the platform or outside it.
Network Detection builds on the network analysis SEON released last year, including Similarity ranking and the Network graph. It continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses to identify clusters that are only suspicious when viewed together. Coordinated fraud rings and money laundering networks now surface before an analyst opens an alert.
AI Chart Builder turns natural-language questions about your business into instant data visualizations. Analysts no longer wait on business intelligence teams for dashboard projects or are forced to rebuild reports from spreadsheet exports. They ask a question and the chart appears, built on live SEON data.
These join an AI portfolio SEON has shipped over the past year. Existing capabilities include AI-assisted rule creation, scoring insights, AML screening analysis, automated case summaries and regulatory report generation.
“The next generation of fraud and KYC challenges won’t look like the last one. AI agents will interact with our marketplaces as customers, and AI agents will be used to impersonate and exploit our customers as well. Our team needs an intelligence foundation that’s ready for both,” said Mostafa Hassanin, CISO, SMG Marketplace. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going.”
A Fast-Start Kit for Teams Ready to Build
To help teams get started quickly, SEON is also releasing an AI Playbook for Risk and Compliance Teams. The playbook is a practical guide to connecting AI tools to SEON and building investigation workflows that match how analyst teams actually operate. It ships with pre-built agentic skills, including a fraud analyst daily briefing and a decline spot-check, both compatible with SEON’s MCP server and ready to deploy on day one.
The MCP server, Network Detection, AI Chart Builder and AI Playbook are available now to SEON customers.
The post SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool appeared first on Americas iGaming & Sports Betting News.
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