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.

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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Gartner Security & Risk Management Summit 2023 Recap

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.

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Understanding and Implementing Biden’s National Cybersecurity Strategy

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.

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

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.

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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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Utilizing Generative AI Effectively in Cybersecurity

Generative AI tools have the potential to enhance various aspects of cybersecurity, from data augmentation and malware detection to anomaly detection and security testing. By harnessing the power of Generative AI, organizations can strengthen their defenses, improve threat detection capabilities, and enhance their overall cybersecurity posture.

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

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.

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RAVENii Uses MixMode Cloud Detection for AWS to Stop Insider Attack

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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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 →