Threat Detection

Safeguarding SAP Systems Amid Rising Financial Fraud and Economic Stress

SAP systems are the backbone of enterprise finance—and they’re under attack. As economic pressures rise, so do attempts to exploit financial platforms. From insider threats to ransomware and zero-day vulnerabilities, SAP’s critical role in handling billions of dollars daily makes it a high-value target. The recent disclosure of CVE-2025-31324, a critical zero-day in SAP NetWeaver (CVSS 10.0), exposed just […]

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The Rise of AI-Driven Cyberattacks: Accelerated Threats Demand Predictive and Real-Time Defenses 

Artificial intelligence (AI) is transforming industries, but it’s also empowering cybercriminals to launch sophisticated, high-speed cyberattacks. AI-driven attacks, particularly those orchestrated by autonomous AI agents, operate at an accelerated pace, compressing the window for detection and protection.

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Volt Typhoon, Salt Typhoon & APT41: This is No Longer a Drill 

New threat intelligence confirms what many infrastructure leaders have long feared: Chinese state-sponsored threat groups are not only capable of infiltrating U.S. critical systems—they already have.

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Geopolitical and Hacktivist Nightmare

The Fast Flux DNS Threat: A Call to Action Against a Geopolitical and Hacktivist Nightmare

Artificial Intelligence (AI) has quickly become an integral part of modern workflows, with AI-powered applications like copilots, chatbots, and large-scale language models streamlining automation, decision-making, and data processing. However, these same tools introduce significant security risks—often in ways organizations fail to anticipate.

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Threat Research Report: How AI Assistants, Co-Pilots, and Chatbots Create New Cyber Threats

Artificial Intelligence (AI) has quickly become an integral part of modern workflows, with AI-powered applications like copilots, chatbots, and large-scale language models streamlining automation, decision-making, and data processing. However, these same tools introduce significant security risks—often in ways organizations fail to anticipate.

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MixMode Uncovers Nation-State Attacks, Insider Threats, and Regulatory Risks in Critical Infrastructure Environment within 3 Days of Deployment

In our newest MixMode report, we break down how a critical infrastructure provider uncovered active nation-state and insider threats within three days of deploying our AI-driven security platform.

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Threat Research Report: Web Browsers as an Overlooked Risk in Cybersecurity

Web browsers have evolved from passive document viewers into complex platforms essential for cloud-based work. But this transformation has also made them a prime target for cyber threats, leaving enterprises and government networks vulnerable.

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Hiding in Plain Sight: The Hidden Dangers of Geolocation in Cloud Security

One of the biggest challenges organizations face today is detecting malicious activity in cloud environments. As highlighted in MixMode’s latest Threat Research Report, cybercriminals are increasingly leveraging trusted cloud providers like AWS, Microsoft Azure, and Google Cloud to disguise their attacks, a strategy known as infrastructure laundering.

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Securing OAuth Authentication Risks with AI-Driven Monitoring

As organizations continue to integrate cloud-based services and third-party applications, OAuth authentication has become a cornerstone of modern security frameworks. However, recent cybersecurity incidents highlight a growing concern: OAuth-based vulnerabilities remain an overlooked entry point for attackers, particularly in Zero Trust environments.

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The Alert Avalanche: Why Prioritizing Security Alerts is a Matter of Survival

One constant remains in the ever-evolving cybersecurity landscape: the barrage of security alerts. From firewalls to EDRs, security products diligently scan networks and systems, bombarding security teams with constant notifications of potential attacks. But what happens when the sheer volume of alerts becomes overwhelming? Enter the silent enemy—alert fatigue. A Brief History of Security Tools

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MixMode: Revolutionizing Threat Detection and Prioritization in Cybersecurity

Enter MixMode. The MixMode Platform is a cutting-edge cybersecurity solution that is changing the game in threat detection and prioritization. The MixMode Platform offers a powerful alternative to traditional security tools by leveraging advanced artificial intelligence and a unique data analysis approach.

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Harnessing the Power of Advanced AI to Optimize Security

Organizations continue to face increasingly sophisticated cyber threats that require a proactive and adaptive approach to cybersecurity. As the volume and complexity of security data grows, security professionals are turning to advanced AI technologies to enhance their capabilities and stay ahead of emerging threats.

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Augmenting Legacy Controls with AI-driven Threat Detection and Response

As organizations grapple with the limitations of legacy security controls in the face of increasingly sophisticated cyber threats, integrating AI-driven threat detection and response capabilities presents a compelling opportunity to bolster their defenses.

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Unveiling the Power of AI: Revolutionizing Threat Detection, Investigation, and Response

Gartner recently released its report Emerging Tech: Top Use Cases for AI in Threat Detection, Investigation, and Response, highlighting how security leaders utilize artificial intelligence (AI) to enhance detection, streamline investigations, and automate response to cyber threats. With increasingly frequent and sophisticated attacks, AI represents a crucial opportunity to augment human security teams.

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Advanced Behavioral Detection Analytics: Enhancing Threat Detection with AI

Gartner just released its Emerging Tech Impact Radar: Security, which looked at technologies that could help organizations effectively detect and respond to attacks and create better efficiencies through AI-based security hyper-automation.

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The Importance of Real-Time Threat Detection at Scale: Unveiling the Hidden Attack Surface

Real-time threat detection is crucial for organizations to effectively maintain their security posture and gain enhanced visibility to defend against ever-evolving cyber threats. However, many organizations face challenges implementing and maintaining effective threat detection capabilities. Legacy rules-based solutions and signature-based threat detection are no longer sufficient to protect against malicious activity. And doing it alone can be costly.

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Protecting Your Assets: Why Financial Services Firms Need Advanced Threat Detection

The financial services industry handles vast amounts of highly sensitive financial information, including customer data, transaction records, and intellectual property, making them a prime target for cyber attacks.

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Unleashing the Power of Self-Supervised AI: Insights from 451 Research Report on MixMode’s Dynamic Threat Detection and Response

In an era where cyber threats are becoming increasingly sophisticated, it is crucial for organizations to stay ahead of attacks. By leveraging the power of self-supervised AI, MixMode offers a game-changing solution that can revolutionize threat detection and response capabilities.

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