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Just as triathletes know that peak performance requires more than expensive gear, cybersecurity teams are discovering that AI success depends less on the tools they deploy and more on the data that powers them The junk food problem in cybersecurity Imagine a triathlete who spares no expense on equipment—carbon fiber bikes, hydrodynamic wetsuits, precision GPS watches—but fuels their training with processed snacks and energy drinks. Despite the premium gear, their performance will suffer because their foundation is fundamentally flawed. Triathletes see nutrition as the fourth discipline of their training that can have a significant impact on performance and can even determine race outcomes. Today's security operations centers (SOCs) face a similar issue. They're investing heavily in AI-powered detection systems, automated response platforms, and machine learning analytics—the equivalent of professional-grade triathlon equipment. But they're powering these sophistic...

With the growing reliance on web applications and digital platforms, the use of application programming interfaces (APIs) has become increasingly popular. If you aren’t familiar with the term, APIs allow applications to communicate with each other and they play a vital role in modern software development. However, the rise of API use has also led to an increase in the number of API breaches. These breaches occur when unauthorized individuals or systems gain access to an API and the data it contains. And as victims can attest, breaches can have devastating consequences for both businesses and individuals. One of the primary concerns with API breaches is the exposure of sensitive data. APIs often contain or provide access to personal or financial information, and if this data falls into the wrong hands, it can be used for fraudulent activities or identity theft. API breaches can also lead to severe reputational damage for businesses. Customers and stakeholders expect their informatio...

The New Reality for Lean Security Teams If you’re the first security or IT hire at a fast-growing startup, you’ve likely inherited a mandate that’s both simple and maddeningly complex: secure the business without slowing it down. Most organizations using Google Workspace start with an environment built for collaboration, not resilience. Shared drives, permissive settings, and constant integrations make life easy for employees—and equally easy for attackers. The good news is that Google Workspace provides an excellent security foundation. The challenge lies in properly configuring it, maintaining visibility, and closing the blind spots that Google’s native controls leave open. This article breaks down the key practices every security team—especially small, lean ones—should follow to harden Google Workspace and defend against modern cloud threats. 1. Lock Down the Basics Enforce Multi-Factor Authentication (MFA) MFA is the single most effective way to stop account compromise. In ...

In this article, we will provide a brief overview of Pillar Security's platform to better understand how they are tackling AI security challenges. Pillar Security is building a platform to cover the entire software development and deployment lifecycle with the goal of providing trust in AI systems. Using its holistic approach, the platform introduces new ways of detecting AI threats, beginning at pre-planning stages and going all the way through runtime. Along the way, users gain visibility into the security posture of their applications while enabling safe AI execution. Pillar is uniquely suited to the challenges inherent in AI security. Co-founder and CEO Dor Sarig comes from a cyber-offensive background, having spent a decade leading security operations for governmental and enterprise organizations. In contrast, co-founder and CTO Ziv Karlinger spent over ten years developing defensive techniques, securing against financial cybercrime and securing supply chains. Together, th...

Today there are plenty of cybersecurity tools on the market. It is now more important than ever that the tools you decide to use work well together. If they don't, you will not get the complete picture, and you won't be able to analyze the entire system from a holistic perspective.  This means that you won't be able to do the right mitigations to improve your security posture. Here are examples of two tools that work very well together and how they will help you to get a holistic view of your cybersecurity posture.  Debricked - Use Open Source Securely How is Open Source a Security Risk?  Open source is not a security risk per se; it's more secure than proprietary software in many ways! With the code being publicly available, it's a lot easier for the surrounding community to identify vulnerabilities, and fixes can be done quickly. What you do need to keep in mind, though, is that any vulnerabilities in open source are publicly disclosed and the public to anyo...

Recently the Office of the Director of National Intelligence (ODNI) unveiled a new strategy for open-source intelligence (OSINT) and referred to OSINT as the “INT of first resort”. Public and private sector organizations are realizing the value that the discipline can provide but are also finding that the exponential growth of digital data in recent years has overwhelmed many traditional OSINT methods. Thankfully, Artificial Intelligence (AI) and Machine Learning (ML) are starting to provide a transformative impact on the future of information gathering and analysis.  What is Open-Source Intelligence (OSINT)? Open-Source Intelligence refers to the collection and analysis of information from publicly available sources. These sources can include traditional media, social media platforms, academic publications, government reports, and any other data that is openly accessible. The key characteristic of OSINT is that it does not involve covert or clandestine methods of information ga...

Cybersecurity researchers have uncovered security shortcomings in SAP AI Core cloud-based platform for creating and deploying predictive artificial intelligence (AI) workflows that could be exploited to get hold of access tokens and customer data. The five vulnerabilities have been collectively dubbed SAPwned by cloud security firm Wiz. "The vulnerabilities we found could have allowed attackers to access customers' data and contaminate internal artifacts – spreading to related services and other customers' environments," security researcher Hillai Ben-Sasson said in a report shared with The Hacker News. Following responsible disclosure on January 25, 2024, the weaknesses were addressed by SAP as of May 15, 2024. In a nutshell, the flaws make it possible to obtain unauthorized access to customers' private artifacts and credentials to cloud environments like Amazon Web Services (AWS), Microsoft Azure, and SAP HANA Cloud. They could also be used to modify D...

We’ve been hearing the same story for years: AI is coming for your job. In fact, in 2017, McKinsey printed a report, Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation , predicting that by 2030, 375 million workers would need to find new jobs or risk being displaced by AI and automation. Queue the anxiety.  There have been ongoing whispers about what roles would be impacted, and pentesting has recently come into question. With AI now able to automate tasks such as vulnerability scans and network scans—among other things—and with platforms like PlexTrac adding AI capabilities to cut back on the manual effort, will pentesters be out of a job? Let’s start with some optimism. This year, McKinsey retracted its former prediction that 375 million workers would be displaced by AI, lowering the prediction to roughly 92 million workers. The article continued to ease concern stating that although some jobs may become obsolete, it’s more likely that jobs will simply unde...

Behind every click, there’s a risk waiting to be tested. A simple ad, email, or link can now hide something dangerous. Hackers are getting smarter, using new tools to sneak past filters and turn trusted systems against us. But security teams are fighting back. They’re building faster defenses, better ways to spot attacks, and stronger systems to keep people safe. It’s a constant race — every move by attackers sparks a new response from defenders. In this week’s ThreatsDay Bulletin, we look at the latest moves in that race — from new malware and data leaks to AI tools, government actions, and major security updates shaping the digital world right now. U.K. moves to tighten cyber rules for key sectors U.K. Debuts Cyber Security and Resilience Bill The U.K. government has proposed a new Cyber Security and Resilience Bill that aims to strengthen national security and secure public services like healthcare, drinking wat...

DALL-E for coders? That’s the promise behind vibe coding, a term describing the use of natural language to create software. While this ushers in a new era of AI-generated code, it introduces "silent killer" vulnerabilities: exploitable flaws that evade traditional security tools despite perfect test performance. A detailed analysis of secure vibe coding practices is available here . TL;DR: Secure Vibe Coding Vibe coding, using natural language to generate software with AI, is revolutionizing development in 2025. But while it accelerates prototyping and democratizes coding, it also introduces “silent killer” vulnerabilities: exploitable flaws that pass tests but evade traditional security tools. This article explores: Real-world examples of AI-generated code in production Shocking stats: 40% higher secret exposure in AI-assisted repos Why LLMs omit security unless explicitly prompted Secure prompting techniques and tool comparisons (GPT-4, Claude, Cursor, etc.) Reg...

Security Operations Centers (SOCs) are stretched to their limits. Log volumes are surging, threat landscapes are growing more complex, and security teams are chronically understaffed. Analysts face a daily battle with alert noise, fragmented tools, and incomplete data visibility. At the same time, more vendors are phasing out their on-premises SIEM solutions, encouraging migration to SaaS models. But this transition often amplifies the inherent flaws of traditional SIEM architectures. T he Log Deluge Meets Architectural Limits SIEMs are built to process log data—and the more, the better, or so the theory goes. In modern infrastructures, however, log-centric models are becoming a bottleneck. Cloud systems, OT networks, and dynamic workloads generate exponentially more telemetry, often redundant, unstructured, or in unreadable formats. SaaS-based SIEMs in particular face financial and technical constraints: pricing models based on events per second (EPS) or flows-per-minute (FPM) ca...

Uber, in an update, said there is "no evidence" that users' private information was compromised in a breach of its internal computer systems that was discovered late Thursday. "We have no evidence that the incident involved access to sensitive user data (like trip history)," the company  said . "All of our services including Uber, Uber Eats, Uber Freight, and the Uber Driver app are operational." The ride-hailing company also said it's brought back online all the internal software tools it took down previously as a precaution, reiterating it's notified law enforcement of the matter. It's not immediately clear if the incident resulted in the theft of any other information or how long the intruder was inside Uber's network. Uber has not provided more specifics of how the incident played out beyond saying its investigation and response efforts are ongoing. But independent security researcher Bill Demirkapi characterized the company...