Threat Detection

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

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.

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MixMode’s Key Takeaways from the 2023 Gartner® Emerging Tech: Security— Improve Threat Detection and Response With AI-Based Behavioral Indications Report

Gartner recently released their newest report titled “Emerging Tech: Security – Improve Threat Detection and Response With AI-Based Behavioral Indications” which covers the emergent need for new AI-Based methods of using behavioral patterns to identify threats.

MixMode’s Key Takeaways from the 2023 Gartner® Emerging Tech: Security— Improve Threat Detection and Response With AI-Based Behavioral Indications Report Read More →

The 2 Questions Cybersecurity Clients Ask the Most When Seeking a Trustworthy Provider

When businesses trust providers to address needs like cybersecurity, they are entrusting vital intellectual property, the private data of employees, consumers, and others, and often, the very infrastructure the business requires to operate.

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Video: Modernizing Phoenix’s Cybersecurity to Combat Nation-State Attacks

Shannon Lawson, CISO for the City of Phoenix, and Geoffrey Coulehan, Head of Sales for MixMode recently joined forces for a fireside chat at the Evanta CISO Summit in Phoenix, AZ. Lawson and Coulehan have been partnering together for almost three years to transform the City’s cybersecurity initiatives and Security Operations Center (SOC). 

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Webinar On Demand: Stopping Novel Attacks – Secure Your Business Against Unknown Threats

Hosted by Mark Ehr, Senior Consulting Analyst for 451 Research Advisors and Igor Mezic, Chief Scientist and CTO for MixMode on Tuesday, November 1st at 1pm EST / 10am PST, they will discuss why security analytics needs to include advanced Third-Wave AI, which autonomously learns normal behavior and adapts to constantly changing network environments, to address the next generation of cyberthreats and increase SOC productivity.

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451 Research Finds Self-Learning Technology to Address Cybersecurity Blind Spots and Reduce Analyst Burnout

In the report, 451 Research explains why security analytics needs to include advanced Third-Wave AI, which autonomously learns normal behavior and adapts to constantly changing network environments, to address the next generation of cyberthreats and increase SOC productivity.

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

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:

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New Video: MixMode Cyber Anomaly Detection Platform

We recently released a new video to better explain how MixMode’s next-generation cybersecurity anomaly detection platform combines the functionality of SIEM, NDR, NTA and UEBA for advanced threat detection, zero day attack identification, false positive alert reduction, forensic investigation and more.

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

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.

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SIEM Cannot Detect (and Ignores) Zero-Day Attacks

Organizations are exclusively depending on selective information forwarded to the SIEM. The information that inevitably exists outside the system of record — information relevant for zero-day attacks — is ignored.

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