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.

Whitepaper: The False Promises of AI in Cybersecurity

Cybersecurity is a battlefield where innovation is paramount. Artificial intelligence (AI) has emerged as a potential game-changer, promising to revolutionize threat detection and response. Vendors have made bold claims, promising their AI-powered solutions will provide unparalleled capabilities, eliminate false positives, and autonomously defend against even the most sophisticated attacks.

Unveiling the Power: A Strategic Look at the Benefits of Using AI in Cybersecurity

If you’ve followed this blog series, you already know that Artificial intelligence (AI) has become a ubiquitous term, holding immense promise across various industries. Cybersecurity is no exception, with AI poised to revolutionize how organizations defend their data and systems against malicious activity. However, a crucial question remains: Are cybersecurity teams effectively harnessing AI’s potential for maximum security impact?

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

The Gartner® Market Guide: Unleash the Power of Network Detection and Response with AI-Augmented Detection

The Gartner® Market Guide for Network Detection and Response sheds light on the key trends and recommendations for security and risk management leaders looking to leverage NDR capabilities. MixMode was listed as a representative vendor within the market guide, offering advanced AI capabilities that enhance network detection and response.

Navigating the Maze: A Measured Approach to AI Adoption in Cybersecurity

While a significant portion (53%) of respondents acknowledge their organization’s early-stage adoption of AI, only 18% report full deployment into integrated security programs. This cautious approach reflects the need for careful planning and implementation to ensure AI enhances, rather than hinders, security posture.

The AI Advantage: Mitigating the Security Alert Deluge in a Talent-Scarce Landscape

The cybersecurity landscape is under siege. Organizations are bombarded by a relentless barrage of security alerts, often exceeding a staggering 22,111 per week on average. While Artificial Intelligence (AI) has emerged as a powerful tool to manage this overwhelming volume, its effectiveness isn’t without limitations, as vendors flood the market with false advertising and promises.

Unveiling The Applications and Distinctions of Machine Learning and Artificial Intelligence in Cybersecurity

The terms “machine learning” and “artificial intelligence” are frequently used in cybersecurity, often interchangeably, leading to confusion about their precise meanings and applications. Both machine learning and artificial intelligence play pivotal roles in fortifying cybersecurity defenses, yet they encompass distinct methodologies and applications. What are the disparities between them? And how do these technologies converge to bolster cyber resilience?

Limitations of Legacy Cybersecurity Solutions Against AI-generated Attacks

The emergence of AI-generated attacks represents a paradigm shift in the cyber threat landscape, posing unprecedented challenges to traditional security solutions. Legacy solutions struggle to contend with intelligent attack automation techniques employed by threat actors, and the overwhelming flood of new malware samples and indicators makes it harder to defend against these attacks.