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Digital content is a double-edged sword, providing vast benefits while simultaneously posing significant threats to organizations across the globe. The sharing of digital content has increased significantly in recent years, mainly via email, digital documents, and chat. In turn, this has created an expansive attack surface and has made 'digital content' the preferred carrier for cybercriminals and nation-state threat actors. Digital content is the easy way in for attackers, whether it be to launch sophisticated attacks, malware distribution and phishing or ransomware attacks.  Governments and highly regulated industries are particularly vulnerable due to the notoriety attackers can receive and the "prize" or impact that can come in compromising their networks. For Governments and defense agencies, this could mean losing access to sensitive and classified information. For critical infrastructure and highly regulated industries that could mean disruption to services or physical damage.

Security leaders are in a tricky position trying to discern how much new AI-driven cybersecurity tools could actually benefit a security operations center (SOC). The hype about generative AI is still everywhere, but security teams have to live in reality. They face constantly incoming alerts from endpoint security platforms, SIEM tools, and phishing emails reported by internal users. Security teams also face an acute talent shortage.  In this guide, we'll lay out practical steps organizations can take to automate more of their processes and build an autonomous SOC strategy . This should address the acute talent shortage in security teams, by employing artificial intelligence and machine learning with a variety of techniques, these systems simulate the decision-making and investigative processes of human analysts. First, we'll define objectives for an autonomous SOC strategy and then consider key processes that could be automated. Next, we'll consider different AI and automation

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

Since the first edition of  The Ultimate SaaS Security Posture Management (SSPM) Checklist  was released three years ago, the corporate SaaS sprawl has been growing at a double-digit pace. In large enterprises, the number of SaaS applications in use today is in the hundreds, spread across departmental stacks, complicating the job of security teams to protect organizations against evolving threats. As SaaS security becomes a top priority, enterprises are turning to SaaS Security Posture Management (SSPM) as an enabler. The  2025 Ultimate SaaS Security Checklist , designed to help organizations choose an SSPM, covers all the features and capabilities that should be included in these solutions. Before diving into each attack surface, when implementing an SSPM solution, it's essential to cover a breadth of integrations, including out-of-the-box and custom app integrations, as well as in-depth security checks. While there are apps that are more sensitive and complex to secure, a breach c

File Integrity Monitoring (FIM) is an IT security control that monitors and detects file changes in computer systems. It helps organizations audit important files and system configurations by routinely scanning and verifying their integrity. Most information security standards mandate the use of FIM for businesses to ensure the integrity of their data. IT security compliance involves adhering to applicable laws, policies, regulations, procedures, and standards issued by governments and regulatory bodies such as PCI DSS, ISO 27001, TSC, GDPR, and HIPAA. Failure to comply with these regulations can lead to severe consequences such as cyber breaches, confidential data loss, financial loss, and reputational damage. Therefore, organizations must prioritize adherence to IT regulations and standards to mitigate risks and safeguard their information systems effectively. The rapid pace of technological advancement and a shortage of skilled cybersecurity professionals contribute to compliance

Here's How to Enhance Your Cyber Resilience with CVSS In late 2023, the Common Vulnerability Scoring System (CVSS) v4.0 was unveiled, succeeding the eight-year-old CVSS v3.0, with the aim to enhance vulnerability assessment for both industry and the public. This latest version introduces additional metrics like safety and automation to address criticism of lacking granularity while presenting a revised scoring system for a more comprehensive evaluation. It further emphasizes the importance of considering environmental and threat metrics alongside the base score to assess vulnerabilities accurately. Why Does It Matter? The primary purpose of the CVSS is to evaluate the risk associated with a vulnerability. Some vulnerabilities, particularly those found in network products, present a clear and significant risk as unauthenticated attackers can easily exploit them to gain remote control over affected systems. These vulnerabilities have frequently been exploited over the years, often ser

In the last decade, there has been a growing disconnect between front-line analysts and senior management in IT and Cybersecurity. Well-documented challenges facing modern analysts revolve around a high volume of alerts, false positives, poor visibility of technical environments, and analysts spending too much time on manual tasks. The Impact of Alert Fatigue and False Positives  Analysts are overwhelmed with alerts. The knock-on effect of this is that fatigued analysts are at risk of missing key details in incidents, and often conduct time-consuming triaging tasks manually only to end up copying and pasting a generic closing comment into a false positive alert.  It is likely that there will always be false positives. And many would argue that a false positive is better than a false negative. But for proactive actions to be made, we must move closer to the heart of an incident. That requires diving into how analysts conduct the triage and investigation process. SHQ Response Platfo

A guide to finding the right endpoint detection and response (EDR) solution for your business' unique needs. Cybersecurity has become an ongoing battle between hackers and small- and mid-sized businesses. Though perimeter security measures like antivirus and firewalls have traditionally served as the frontlines of defense, the battleground has shifted to endpoints. This is why endpoint detection and response (EDR) solutions now serve as critical weapons in the fight, empowering you and your organization to detect known and unknown threats, respond to them quickly, and extend the cybersecurity fight across all phases of an attack.  With the growing need to defend your devices from today's cyber threats, however, choosing the right EDR solution can be a daunting task. There are so many options and features to choose from, and not all EDR solutions are made with everyday businesses and IT teams in mind. So how do you pick the best solution for your needs? Why EDR Is a Must Because of

Cybersecurity researchers have discovered a novel attack that employs stolen cloud credentials to target cloud-hosted large language model (LLM) services with the goal of selling access to other threat actors. The attack technique has been codenamed  LLMjacking  by the Sysdig Threat Research Team. "Once initial access was obtained, they exfiltrated cloud credentials and gained access to the cloud environment, where they attempted to access local LLM models hosted by cloud providers," security researcher Alessandro Brucato  said . "In this instance, a local Claude (v2/v3) LLM model from Anthropic was targeted." The intrusion pathway used to pull off the scheme entails breaching a system running a vulnerable version of the Laravel Framework (e.g.,  CVE-2021-3129 ), followed by getting hold of Amazon Web Services (AWS) credentials to access the LLM services. Among the tools used is an  open-source Python script  that checks and validates keys for various offering

Sandboxes are synonymous with dynamic malware analysis. They help to execute malicious files in a safe virtual environment and observe their behavior. However, they also offer plenty of value in terms of static analysis. See these five scenarios where a sandbox can prove to be a useful tool in your investigations. Detecting Threats in PDFs PDF files are frequently exploited by threat actors to deliver payloads. Static analysis in a sandbox makes it possible to expose any threat a malicious PDF contains by extracting its structure. The presence of JavaScript or Bash scripts can reveal a possible mechanism for downloading and executing malware.  Sandboxes like ANY.RUN also allows users to scrutinize URLs found in PDFs to identify suspicious domains, potential command and control (C2) servers, or other indicators of compromise. Example: Static analysis of a PDF file in ANY.RUN Interactivity allows our users to manipulate files within a VM as they wish, but static Discovery offers