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Summertime isn’t just for vacations and barbecues—it’s also prime season for zero-day attacks. These attacks, launched by malicious actors exploiting previously unknown vulnerabilities in software, are a significant concern for national security and cybersecurity professionals.
Nation-States and Zero-days Cranking Up the Heat Read More →
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.
MixMode: Revolutionizing Threat Detection and Prioritization in Cybersecurity Read More →
One constant remains in the ever-evolving cybersecurity landscape: the barrage of security alerts. From firewalls to EDRs, security products diligently scan networks and systems, bombarding security teams with constant notifications of potential attacks. But what happens when the sheer volume of alerts becomes overwhelming? Enter the silent enemy—alert fatigue.
The Alert Avalanche: Why Prioritizing Security Alerts is a Matter of Survival Read More →
For a cybersecurity analyst, however, the receipt of an alert is the beginning of an investigative process aimed at determining whether the alert indicates a full-blow cyber attack or the presence of some other type of vulnerability or unusual behavior.
Empowering the Investigation Process with MixMode Read More →
The first quarter of 2024 painted a concerning picture of security threats for enterprise organizations: information leaks and breaches exposed sensitive data across major corporations.
Q1 2024: A Wake-up Call for Insider Threats Read More →
Gartner’s recently released Market Guide for Network Detection and Response offers valuable insights for security leaders looking to optimize their NDR strategy. One of their key findings is the emergence of Augmented NDR solutions and the exciting potential of AI-powered “augmented analytics.”
Augmented NDR: Gartner Unveils The Future of Threat Detection with AI Read More →
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.
Whitepaper: The False Promises of AI in Cybersecurity Read More →
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?
Unveiling the Power: A Strategic Look at the Benefits of Using AI in Cybersecurity Read More →
Zero-day threats continue to wreak havoc on organizations worldwide, with recent attacks targeting corporate and government networks. In the last few weeks, government-sponsored threat actors have targeted Palo Alto Networks and Cisco ASA (Adaptive Security Appliance).
Zero-Day Nightmare: Palo Alto, Cisco, and MITRE Under Attack Read More →
As technology advances and attackers develop ever-more sophisticated tactics, CISOs and security teams face a constant battle of trying to stay ahead of the curve. This year, several key themes are expected to dominate the cybersecurity landscape, shaping the priorities of CISOs and their teams.
If you’ve been following along in this series, you already know that Artificial Intelligence (AI) has emerged as a powerful tool for organizations to strengthen their cybersecurity defenses. But how is AI being used in cybersecurity today, and what are its key benefits?
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.
We have now reached the Third wave of AI: Contextual Reasoning. This revolutionary approach, pioneered by MixMode in cybersecurity, utilizes self-supervised and explainable AI to independently learn and adapt without reliance on rules or training data.
Unlocking the Power of True AI: MixMode’s Cutting-Edge Cybersecurity Solution Read More →
There’s bad news and not-so-bad news in the world of cybersecurity. In a recent report, Google revealed a significant rise in zero-day attacks, those exploiting previously unknown software vulnerabilities. However, despite the increase, there’s a silver lining.
Zero-Day Attacks on the Rise: Google Reports 50% Increase in 2023 Read More →
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.
Navigating the Maze: A Measured Approach to AI Adoption in Cybersecurity Read More →
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.
The AI Advantage: Mitigating the Security Alert Deluge in a Talent-Scarce Landscape Read More →
This week, we’re looking into how the rise of artificial intelligence (AI) has significantly altered the threat landscape, introducing challenges and opportunities for organizations seeking to safeguard their data and infrastructure.
The Evolving Threat Landscape: Why AI is Essential for Cybersecurity Success Read More →
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?
A new report from Microsoft and Open AI shows how attackers are increasingly using artificial intelligence (AI) to improve their cyberattacks. The report found that nation-backed groups use LLMs for research, scripting, and phishing emails.
Chat GPT and Nation-State Attackers: A New Era of AI-generated Attacks Read More →
Despite AI’s potential to help defend against cyber attacks, AI adoption in cybersecurity practices remains in its early stages. Why is this the case, and how can organizations overcome these hurdles to pave the way for a secure future?