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.

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.

Whitepaper: OVERCOMING THE LIMITS OF LEGACY DETECTION TOOLS IN TODAY’S THREAT LANDSCAPE WITH ADVANCED AI

The history of cybersecurity is a tale of constant evolution, marked by the rise and fall of various defense mechanisms in the face of ever-changing threats. Security tools such as antivirus software and firewalls have long been the stalwarts of cyber defense, forming the bedrock of protection for organizations worldwide. While effective in their time, …

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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.

Unmasking the Challenge: Why Identity Threats are Hard to Detect and How Advanced Behavioral Detection Analytics with AI Can Help

We explore why identity threats are so hard to detect, the limitations of legacy threat detection solutions, the types of identity threats organizations face, recent examples of identity breaches, and the role of Advanced Behavioral Detection Analytics Enhancing with AI in stopping identity-based attacks.

Understanding the Joe Biden Executive Order on AI and Enhancing Cybersecurity: Key Takeaways and Recommendations

On October 30, 2023, the White House issued an Executive Order promoting safe, secure, and trustworthy artificial intelligence (AI) deployment. This Executive Order recognizes the global challenges and opportunities presented by AI and emphasizes the need for collaboration, standards development, and responsible government use for national security.

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.

The Rise of Zero Trust

Zero Trust is an evolving security framework that operates on the principle of “never trust, always verify.” It assumes no user or device should be inherently trusted, regardless of location or network connection. Instead, resource access is granted based on continuous verification and monitoring of various factors, such as user behavior, device health, and network conditions.