Schedule A Demo

Threat Detection

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

Blog, Cyber Threats, Nation-State Threat Actors, Threat Brief, Threat Briefing, Threat Detection, Threat Intelligence Research, Threat Research, threat research / By

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. This allows them to blend in with legitimate […]

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

Securing OAuth Authentication Risks with AI-Driven Monitoring

Blog, Cyber Threats, Real-Time Threat Detection, Threat Detection, Threat Intelligence Research, Threat Research, threat research, Uncategorized / By

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.

Securing OAuth Authentication Risks with AI-Driven Monitoring Read More →

MixMode: Revolutionizing Threat Detection and Prioritization in Cybersecurity

Anomoly Detection, Blog, Identity Threat Detection and Response, MixMode Platform, Network Detection and Response, Real-Time Threat Detection, Threat Detection / By

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.

MixMode: Revolutionizing Threat Detection and Prioritization in Cybersecurity Read More →

Harnessing the Power of Advanced AI to Optimize Security

AI, Blog, Cyber Threats, generative AI, Real-Time Threat Detection, Third-Wave AI, Threat Detection / By

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.

Harnessing the Power of Advanced AI to Optimize Security Read More →

Augmenting Legacy Controls with AI-driven Threat Detection and Response

Blog, Identity Threat Detection and Response, Real-Time Threat Detection, Threat Detection, Whitepaper / By

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.

Augmenting Legacy Controls with AI-driven Threat Detection and Response Read More →

Advanced Behavioral Detection Analytics: Enhancing Threat Detection with AI

AI, Blog, Gartner, generative AI, Predictive AI, Ransomware, Real-Time Threat Detection, Self-Supervised AI, Third-Wave AI, Threat Detection / By

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.

Advanced Behavioral Detection Analytics: Enhancing Threat Detection with AI Read More →

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

Blog, Real-Time Threat Detection, Threat Detection, Whitepaper / By

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.

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

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

Blog, Cyber Threats, Financial Services, generative AI, Insider Threats, Malware, Phishing, Ransomware, Real-Time Threat Detection, Threat Detection / By

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.

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

eBook: The Inefficiencies of Legacy Tools – Why SIEMs Alone Are Ineffective At Detecting Advanced Attacks

Alert Reduction, Blog, Data Overload, eBook, False Positives, SIEM / By

Relying solely on legacy Security Information and Event Management (SIEM) technology is no longer sufficient to protect enterprise organizations from the rising amount of modern, ai-developed, sophisticated cyberattacks. In our newest eBook, we examine the limitations of SIEMs and emphasize the need for an AI-driven dynamic threat detection and response platform.

eBook: The Inefficiencies of Legacy Tools – Why SIEMs Alone Are Ineffective At Detecting Advanced Attacks Read More →

Aligning an Organization’s Attack Surface to Detection Surface is Key to Adversary Defense in Today’s Cloud Era

Anomoly Detection, AWS, Azure, Blog, Cloud Security, Cloudtrail, Detection Surface, Flow Logs, Log Data, multi-cloud, Network Detection and Response, Third-Wave AI, Threat Detection, Uncategorized / By

With the Cloud Era, the IT asset estate has expanded, and there is a diverse set of attack surfaces to defend. The term “attack surface” describes the growing IT asset estate, but there is no parallel term to describe where we can detect or respond to attacker activity.

Aligning an Organization’s Attack Surface to Detection Surface is Key to Adversary Defense in Today’s Cloud Era Read More →

Webinar Recap: Why Your Legacy Cyber Platforms Can’t Defend Against Modern Day Attacks

Adversarial AI, Blog, Data Breach, Log Data, MixMode News, Network Baselines, Network Security, Ransomware, SIEM, SOC, Third-Wave AI, Threat Detection, Webinar / By

In partnership with Ravenii, our 60-minute talk was hosted by MixMode’s Head of Sales and Alliances, Geoff Coulehan, CEO of Ravenii, Jeff Shipley, and MixMode’s CTO & Chief Scientist, Igor Mezic. They discussed key topics including:

Webinar Recap: Why Your Legacy Cyber Platforms Can’t Defend Against Modern Day Attacks Read More →

The Top 5 Considerations That Should Guide Your SOC Strategy in 2021 and Beyond

Blog, CISO, Context-Aware AI, Data Breach, Network Detection and Response, Network Security, Self-Supervised AI, SIEM, SOC, Third-Wave AI, Threat Detection, Zero Day Attacks / By

It’s evident that while organizations are spending more and more on legacy cybersecurity solutions, these platforms are not holding up their end of the deal and are not able to proactively defend in a modern, non-signature attack threatscape.

The Top 5 Considerations That Should Guide Your SOC Strategy in 2021 and Beyond Read More →

Performing Critical Cyber Diligence for Mergers and Acquisitions Using MixMode

Blog, Data Breach, Mergers and Acquisitions, Network Security, Use Case / By

According to a recent M&A trends survey conducted by Deloitte, 51 percent of 1,000 Executives responsible for Mergers and Acquisitions (M&A) at U.S. companies and private-equity investor firms listed cybersecurity threats as their top concern in executing deals virtually.

Performing Critical Cyber Diligence for Mergers and Acquisitions Using MixMode Read More →

2021: The Year SOCs Embrace Cybersecurity Convergence

Blog, Network Security, Predictive AI, SIEM, SOAR, SOC, Third-Wave AI, Threat Detection / By

Staying on top of cybersecurity risk can feel like a losing battle in today’s modern, hyperconnected reality. The influx of IoT devices and increased reliance of BYOD devices has created a diverse, complex threatscape rife with overlapping vulnerabilities across physical and cyber assets.

2021: The Year SOCs Embrace Cybersecurity Convergence Read More →

Russian Hack of U.S. Federal Agencies Shine Spotlight on SIEM Failures in Cybersecurity

Adversarial AI, Blog, Data Breach, Network Baselines, Network Detection and Response, Network Security, Network Traffic Analysis, Predictive AI, Self-Supervised AI, SIEM, Third-Wave AI, Threat Detection / By

In what the New York Times is calling, “One of the most sophisticated and perhaps largest hacks in more than five years,” malicious adversaries acting on behalf of a foreign government, likely Russian, broke into the email systems of multiple U.S. Federal agencies including the Treasury and Commerce Departments.

Russian Hack of U.S. Federal Agencies Shine Spotlight on SIEM Failures in Cybersecurity Read More →

MixMode in the Real World: Customers Turn to MixMode Frustrated and in Search of a Viable SIEM Alternative

Blog, SIEM, SOC, Threat Detection, Use Case / By

SIEM has failed to meet the needs of enterprises in the modern threatscape. One huge reason for this is that over time, most organizations will come to the sad realization that they will never achieve a full enterprise deployment of their SIEM. By its very nature, SIEM is always “in process.” It’s not unusual for an organization to have an SIEM in process for a full decade.

MixMode in the Real World: Customers Turn to MixMode Frustrated and in Search of a Viable SIEM Alternative Read More →