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It's been a decade since the National Institute of Standards and Technology (NIST) introduced its Cybersecurity Framework (CSF) 1.0. Created following a 2013 Executive Order, NIST was tasked with designing a voluntary cybersecurity framework that would help organizations manage cyber risk, providing guidance based on established standards and best practices. While this version was originally tailored for Critical infrastructure, 2018's version 1.1 was designed for any organization looking to address cybersecurity risk management.  CSF is a valuable tool for organizations looking to evaluate and enhance their security posture. The framework helps security stakeholders understand and assess their current security measures, organize and prioritize actions to manage risks, and improve communication within and outside organizations using a common language. It's a comprehensive collection of guidelines, best practices, and recommendations, divided into five core functions: Identify, Protec

The world of cybersecurity is in a constant state of flux. New vulnerabilities emerge daily, and attackers are becoming more sophisticated. In this high-stakes game, security leaders need every advantage they can get. That's where Artificial Intelligence (AI) comes in. AI isn't just a buzzword; it's a game-changer for vulnerability management. AI is poised to revolutionize vulnerability management in the coming years. It enables security teams to: Identify risks at scale: AI can analyze massive amounts of data to identify vulnerabilities that humans might miss. Prioritize threats: AI helps focus on the most critical vulnerabilities, ensuring resources are used effectively. Remediate faster: AI automates many tasks, allowing for quicker and more efficient remediation. AI isn't just about technology; it's about people. This webinar will delve into how security leaders can leverage AI to empower their teams and foster a culture of security. Learn how to tur

For years, securing a company's systems was synonymous with securing its "perimeter." There was what was safe "inside" and the unsafe outside world. We built sturdy firewalls and deployed sophisticated detection systems, confident that keeping the barbarians outside the walls kept our data and systems safe. The problem is that we no longer operate within the confines of physical on-prem installations and controlled networks. Data and applications now reside in distributed cloud environments and data centers, accessed by users and devices connecting from anywhere on the planet. The walls have crumbled, and the perimeter has dissolved, opening the door to a new battlefield: identity . Identity is at the center of what the industry has praised as the new gold standard of enterprise security: "zero trust." In this paradigm, explicit trust becomes mandatory for any interactions between systems, and no implicit trust shall subsist. Every access request, regardless of its origin,

A comprehensive guide authored by Dean Parsons, SANS Certified Instructor and CEO / Principal Consultant of ICS Defense Force, emphasizes the growing need for specialized ICS security measures in the face of rising cyber threats. With a staggering 50% increase in ransomware attacks targeting industrial control systems (ICS) in 2023, the SANS Institute is taking decisive action by announcing the release of its essential new strategy guide, " ICS Is the Business: Why Securing ICS/OT Environments Is Business-Critical in 2024 ." Authored by Dean Parsons, CEO of ICS Defense Force and a SANS Certified Instructor, this guide offers a comprehensive analysis of the rapidly evolving threat landscape and provides critical steps that organizations must take to safeguard their operations and ensure public safety. As cyber threats grow in both frequency and sophistication, this guide is an indispensable resource for securing the vital systems that underpin our world. Key Insights from t

Want to know what's the latest and greatest in SecOps for 2024? Gartner's recently released Hype Cycle for Security Operations report takes important steps to organize and mature the domain of Continuous Threat Exposure Management, aka CTEM. Three categories within this domain are included in this year's report: Threat Exposure Management, Exposure Assessment Platforms (EAP), and Adversarial Exposure Validation (AEV). These category definitions are aimed at providing some structure to the evolving landscape of exposure management technologies. Pentera, listed as a sample vendor in the newly defined AEV category, is playing a pivotal role in increasing the adoption of CTEM, with a focus on security validation. Following is our take on the CTEM related product categories and what they mean for enterprise security leaders. The Industry is Maturing CTEM, coined by Gartner in 2022, presents a structural approach for continuously assessing, prioritizing, validating, and remediating expo

SaaS applications have become indispensable for organizations aiming to enhance productivity and streamline operations. However, the convenience and efficiency these applications offer come with inherent security risks, often leaving hidden gaps that can be exploited. Conducting thorough due diligence on SaaS apps is essential to identify and mitigate these risks, ensuring the protection of your organization's sensitive data. Understanding the Importance of Due Diligence Due diligence is a critical step in evaluating the security capabilities of SaaS applications. It involves a comprehensive assessment of the app's audit log events, system and activity audits, and integration capabilities to ensure proper logging and monitoring, helping to prevent costly incidents. Here are a few reasons why due diligence is non-negotiable: Identifying Critical Audit Log Gaps: A thorough review helps ensure that essential events, such as logins, MFA verifications, and user changes, are lo

Traditionally, the focus has been on defending against digital threats such as malware, ransomware, and phishing attacks by detecting them and responding. However, as cyber threats become more sophisticated. There is a growing recognition of the importance of measures that stop new attacks before they are recognized. With high-value assets, it's not good enough to have the protection, it's essential to have some assurance that the protection is effective. With software, that assurance is hard work, and this has led to a complimentary approach, called hardsec. What is Hardsec? Short for " Hardware Security ." Hardsec is about using hardware logic and electronics to implement a security defence, rather than through software alone - thereby providing a higher level of security assurance and resilience against both external and insider threats . Making it an essential component of comprehensive cybersecurity strategies. The Rise of Sophisticated Attacks When the impact of an attack ag

The last few years have seen more than a few new categories of security solutions arise in hopes of stemming a never-ending tidal wave of risks. One of these categories is Automated Security Validation (ASV), which provides the attacker's perspective of exposures and equips security teams to continuously validate exposures, security measures, and remediation at scale. ASV is an important element of any cybersecurity strategy and by providing a clearer picture of potential vulnerabilities and exposures in the organization, security teams can identify weaknesses before they can be exploited.  However, relying solely on ASV can be limiting. In this article, we'll take a look into how combining the detailed vulnerability insights from  ASV  with the broader threat landscape analysis provided by the Continuous Threat Exposure Management Framework (CTEM) can empower your security teams to make more informed decisions and allocate resources effectively. (Want to learn more about CTEM? Check

Events like the recent massive CDK ransomware attack – which shuttered car dealerships across the U.S. in late June 2024 – barely raise public eyebrows anymore.  Yet businesses, and the people that lead them, are justifiably jittery. Every CISO knows that cybersecurity is an increasingly hot topic for executives and board members alike. And when the inevitable CISO/Board briefing rolls around, everyone wants answers: Are we safe from attacks? Are we making progress? Could <insert name of CVE or incident that keeps you up at night here> happen to us? These are all fair concerns.  The question is, how do we best answer them? A company board deserves clear, concise information tied to business goals , not technical details about fixes or attack methods. A communication gap between the CISO and the board can lead to misunderstandings, increased risk, and potentially devastating cyberattacks. And this is why one of the overriding challenges for CISOs today remains: How to pr

The modern kill chain is eluding enterprises because they aren't protecting the infrastructure of modern business: SaaS .  SaaS continues to dominate software adoption , and it accounts for the greatest share of public cloud spending. But enterprises and SMBs alike haven't revised their security programs or adopted security tooling built for SaaS.  Security teams keep jamming on-prem pegs into SaaS security holes  The mature security controls CISOs and their teams depended on in the age of on-prem dominance have vanished. Firewalls now protect a small perimeter, visibility is limited, and even if SaaS vendors offer logs, security teams need homegrown middleware to digest them and push into their SIEM.  SaaS vendors do have well-defined security scopes for their products, but their customers must manage SaaS compliance and data governance, identity and access management (IAM), and application controls — the areas where most incidents occur. While this SaaS shared responsibility mod

While some SaaS threats are clear and visible, others are hidden in plain sight, both posing significant risks to your organization. Wing's research indicates that an astounding 99.7% of organizations utilize applications embedded with AI functionalities. These AI-driven tools are indispensable, providing seamless experiences from collaboration and communication to work management and decision-making. However, beneath these conveniences lies a largely unrecognized risk: the potential for AI capabilities in these SaaS tools to compromise sensitive business data and intellectual property (IP). Wing's recent findings reveal a surprising statistic: 70% of the top 10 most commonly used AI applications may use your data for training their models. This practice can go beyond mere data learning and storage. It can involve retraining on your data, having human reviewers analyze it, and even sharing it with third parties. Often, these threats are buried deep in the fine print of Term