Real-Time Threat Detection

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.

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

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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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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