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False Positives

The Alert Avalanche: Why Prioritizing Security Alerts is a Matter of Survival

Alert Fatigue, Alert Reduction, Blog, False Negatives, False Positives, Real-Time Threat Detection, Threat Detection / By

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. A Brief History of Security Tools […]

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The Alert Avalanche: Why Prioritizing Security Alerts is a Matter of Survival

Alert Fatigue, Alert Reduction, Blog, False Negatives, False Positives / By

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.

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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.

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Video: Modernizing Phoenix’s Cybersecurity to Combat Nation-State Attacks

Blog, Case Study, CSO, Cyber Threats, Cybersecurity News, False Negatives, False Positives, MixMode News, Municipalities, SIEM, SOAR, SOC, Third-Wave AI, Threat Detection, Unsupervised AI, Use Case, Video / By

Shannon Lawson, CISO for the City of Phoenix, and Geoffrey Coulehan, Head of Sales for MixMode recently joined forces for a fireside chat at the Evanta CISO Summit in Phoenix, AZ. Lawson and Coulehan have been partnering together for almost three years to transform the City’s cybersecurity initiatives and Security Operations Center (SOC). 

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Financial Services IT Teams Relying on Legacy Cybersecurity Plagued By False Positives and Negatives

Blog, False Negatives, False Positives, Financial Services / By

Cybersecurity teams working in financial and banking settings face a constant struggle — protecting industry regulated data with limited resources. The situation can reach a breaking point when these teams become overwhelmed managing false positive and negative flags triggered by legacy cybersecurity solutions.

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U.S. Cities Relying on Legacy Cybersecurity Plagued By False Positives and Negatives

Blog, Cities, False Negatives, False Positives, Municipalities, Network Security, Network Traffic Analysis / By

Cybersecurity teams working in municipal settings face a constant struggle — protecting vital public network infrastructure with limited resources. The situation can reach a breaking point when these teams become overwhelmed managing false positive and negative flags triggered by legacy cybersecurity solutions.

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Can Your Enterprise Cybersecurity Solution Solve These Two Challenges? You May Be More Vulnerable Than You Realize

Blog, False Positives, Zero Day Attacks / By

Of all the challenges facing the modern SOC, two stand out among the most persistent and difficult to overcome: an overwhelming volume of false positive alerts and an alarming escalation in zero-day and novel threats that are often imperceptible by legacy systems.

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Better Anomaly Detection Is Key to Solving the False Positive Problem Once and for All

Anomoly Detection, Blog, False Positives, Self-Supervised AI, Third-Wave AI / By

Keeping up with security alerts can be a Herculean task without the right tools on board. Security teams face more than 11,000 alerts per day on average, according to industry analysts — including thousands of false positives triggered by legacy security solutions.

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What is Anomaly Detection in Cybersecurity?

Anomoly Detection, Blog, Cyber Threats, False Positives, Unsupervised AI / By

Anomaly detection, the “identification of rare occurrences, items, or events of concern due to their differing characteristics from the majority of the processed data,” allows organizations to track “security errors, structural defects and even bank fraud,” according to DeepAI and described in three main forms of anomaly detection as: unsupervised, supervised and semi-supervised. Security Operations Center (SOC) analysts use each of these approaches to varying degrees of effectiveness in Cybersecurity applications.

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A Modern SOC Should Not Be Entirely Dependent On Human Operators and Their Personal Experience

Blog, False Positives, SIEM, SOC, Third-Wave AI, Zero Day Attacks / By

A modern SOC should not be entirely dependent on human operators and their personal experience. The issue has been a foundational problem with not only the methodologies used by SOCs for the past 15 to 20 years, but it should be questioned whether the problem is actually compounded by the technology itself.

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Whitepaper: The Failed Promises of SIEM

Blog, Data Overload, False Positives, Regulations & Compliance, Self-Supervised AI, SIEM, SOC, Whitepaper / By

The fundamental SIEM flaws lie in the platform’s need for continual adjustment, endless data stores, and a tendency to create an overwhelming number of false positives. When organizations instead turn to a next-generation cybersecurity solution, which predicts behavior with an unsupervised (zero tuning) system, they are poised to save on both financial and human resources.

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3 Reasons Why a Rule-Based Cybersecurity Platform Will Always Fail

Blog, False Positives, Network Baselines, Network Security, Network Traffic Analysis, Predictive AI, Self-Supervised AI, SIEM, Zero Day Attacks / By

When it comes to advancements in cybersecurity, rule-based systems are holding the industry back. Relying on humans to constantly input and label rules in order to detect and stay ahead of threats is a bottleneck process that is setting security teams up for failure, especially with tools like SIEM, NDR, and NTA.

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Magnify Podcast: Discussing the New Normal with AI Based Cybersecurity Specialists, MixMode

Blog, CISO, False Positives, MixMode News, Network Baselines, Network Security, Network Traffic Analysis, SOC / By

Geoff Coulehan, MixMode’s Head of Strategic Alliances, joined Secrutiny’s “Magnify Podcast,” to discuss the priorities CISOs should focus on to better protect their now-remote team of employees.

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How the Role of the Modern Security Analyst is Changing

Blog, False Positives, Threat Detection, Whitepaper / By

As organizations began to rely more heavily on networking to carry out their operations over the past decade, IT teams added security analyst positions. These professionals focused on network security and providing regulatory compliance oversight.  Over time, the role of the security analyst has expanded to include threat hunting tasks. That is, evaluating security platform

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The Cybersecurity Processes Most Vulnerable to Human Error

Alert Reduction, Blog, False Positives, Predictive AI, SIEM, Whitepaper / By

The world’s reliance on fast, reliable, secure networks has likely never been as apparent as it became in early 2020, when the world responded to the Coronavirus pandemic. Suddenly, vast swaths of the global workforce needed to access and send enormous stores of data from home. In some ways, it couldn’t have happened at a worse time.

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