MIxmode Blog

MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.

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

By MixMode Threat Research | March 12, 2025

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

By MixMode Threat Research | March 5, 2025

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

By MixMode Threat Research | February 27, 2025

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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Securing OAuth Authentication Risks with AI-Driven Monitoring

By MixMode Threat Research | February 13, 2025

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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Why DeepSeek’s Low Price Could Cost You Everything

By MixMode Threat Research | February 6, 2025

While its capabilities are impressive, this development raises significant concerns about the hidden costs and potential security risks associated with its widespread adoption.

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Codefinger Ransomware: Detection and Mitigation Using MixMode

By MixMode Threat Research | January 29, 2025

The Codefinger ransomware represents a new frontier in cyber threats, specifically targeting AWS S3 buckets. By exploiting Server-Side Encryption with Customer-Provided Keys (SSE-C), attackers gain control over the encryption process, rendering recovery impossible without their AES-256 keys.

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Six Friends Every Security Team Needs

By Michael Henkelman | January 14, 2025

Around the year 1900, an author (Rudyard Kipling) wrote a poem called “The Elephant’s Child.” In it, he writes: “I keep six honest serving men They taught me all I knew Their names are What and Why and When And How and Where and Who.”  Little did Kipling know that these six friends would someday […]

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Threat Research Recap: Paving the Way for Smarter Defense Tech in 2025

By MixMode Threat Research | January 8, 2025

Looking back at 2024, we recognize the immense value in revisiting some of our most impactful threat research. These articles not only offered real-time insights into pressing cybersecurity issues but also set the stage for advancements in AI-powered threat detection and defense.

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Why Zero-Day Attacks Bypass Traditional Firewall Security: Defending Against Zero-Day’s like Palo Alto Networks CVE-2024-0012

By MixMode Threat Research | December 5, 2024

Recently, Palo Alto Networks identified and patched a critical zero-day vulnerability in their next-generation firewalls (NGFWs). This vulnerability, tracked as CVE-2024-0012, allowed attackers to execute code on vulnerable devices remotely. This vulnerability has been actively exploited in attacks dubbed “Operation Lunar Peek.”

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State of SIEM Detection Risk: A Wake-Up Call for Enterprise Security Teams

By MixMode | November 19, 2024

The recently released Third Annual State of SIEM Detection Risk Report from CardinalOps reveals some concerning gaps in enterprise security detection capabilities and highlights clear improvement opportunities. Below are some of the key findings that stood out.

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About MixMode

MixMode is a no-rules Cybersecurity platform, serving large enterprises with big data environments across a variety of industries. MixMode delivers a patented, self-learning platform that acts as the Intelligence Layer℠ to detect both known and unknown attacks, including novel attacks designed to bypass legacy cyber defenses. This is accomplished in real-time, across any cloud or on-premise data stream. Trusted by global entities in banking, public utilities and government sectors, industry cyber leaders rely on MixMode to protect their most critical assets. The platform dramatically improves the efficiency of SOC teams’ previously burdened with writing and tuning rules and manually searching for attacks. The MixMode platform can be deployed remotely, with no appliances, in under an hour with business outcomes evident within days. Backed by PSG and Entrada Ventures, the company is headquartered in Santa Barbara, CA. Learn more at www.mixmode.ai.