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Joe Ariganello

Joe is the VP of Product Marketing at MixMode. He has led product marketing for multiple cybersecurity companies, with stops at Anomali, FireEye, Neustar and Nextel, as well as various start-ups. Originally from NY, Joe resides outside Washington DC and has a BA from Iona University.

MixMode Launches Paradigm Partner Program to Enable Global Partners to Support Their Clients’ Need for Advanced Defenses Against increasingly Sophisticated Cyber Threats

Blog, Channel Partnerships, Cybersecurity News, Federal Cybersecurity, MixMode News, National Cybersecurity Strategy / By

Today we announce the MixMode Paradigm Partner Program, giving the world’s top Value Added Resellers (VARs), Managed Service Providers (MSP), Global Systems Integrators (GSIs) and Distributors, access to an advanced cybersecurity platform for real-time threat detection and response.

MixMode Highlighted in Gartner's 2023 Hype Cycle for Network Detection and Response

MixMode Highlighted in Gartner® Hype Cycle™ for Security Operations 2023

Blog, Cybersecurity News, Gartner, MixMode News, Network Detection and Response, SOC / By

MixMode, a leading provider of network detection and response (NDR) solutions, has been highlighted as a key vendor in Gartner’s 2023 Hype Cycle for Network Detection and Response. This is a significant achievement for MixMode, as it recognizes the company’s innovative approach to NDR and its potential to help organizations protect themselves from cyberattacks.

MixMode Invited to Participate on ‘US Blue Team’ in Annual International Cybersecurity Exercise

Blog, Cyber Threats, Cybersecurity News, Federal Cybersecurity, MixMode News, MixMode Team, National Cybersecurity Strategy, Third-Wave AI, Uncategorized / By

The constant threats posed by hackers, state-sponsored cyber attacks, and malicious actors have prompted the creation of cutting-edge strategies to fortify our nation’s cyber defenses. One such response to this growing concern comes in the form of an annual large-scale international cybersecurity exercise.

Gartner Security & Risk Management Summit 2023 Recap

AI, Cloud Security, Cybersecurity News, Gartner, generative AI, SIEM, Third-Wave AI, Uncategorized / By

One of the key predictions is that by 2027, 50% of chief information security officers (CISOs) will adopt human-centric design practices in their cybersecurity programs to minimize operational friction and maximize control adoption. This approach focuses on designing security controls around individuals rather than technology or threats. It recognizes that employees play a crucial role in cybersecurity and aims to reduce the likelihood of risky behavior.

Understanding and Implementing Biden’s National Cybersecurity Strategy

Blog, Cybersecurity News, Federal Cybersecurity, National Cybersecurity Strategy / By

The Biden-Harris Administration has released the National Cybersecurity Strategy Implementation Plan (NCSIP), outlining its commitment to improving cybersecurity in America. The plan focuses on two primary shifts: allocating more responsibility for mitigating cyber risk to capable entities in the public and private sectors and increasing incentives for long-term investments in cybersecurity.

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.

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.

AI Offers Potential to Enhance The U.S. Department of Homeland Security

AI, Blog, Federal Cybersecurity, generative AI, Government, Homeland Security, infrastructure, Self-Supervised AI, Third-Wave AI / By

The establishment of the AI Task Force by the DHS demonstrates a commitment to harnessing the potential of AI in addressing emerging threats and safeguarding national security. By leveraging AI technology in various areas, such as supply chain integrity, countering drug trafficking, combating online child exploitation, and securing critical infrastructure, the DHS aims to stay ahead of evolving risks and protect the nation more effectively.

RAVENii Uses MixMode Cloud Detection for AWS to Stop Insider Attack

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RAVENii, a leading managed services provider, was launched in 2014, bringing decades of front-line experience across many cybersecurity domains; while harnessing the power of its global network of seasoned security experts to keep abreast of the ever-changing threat landscape. Today, RAVENii supports multiple organizations with its “Gray Matter” approach to cybersecurity in an unceasing effort …

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