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Now that we are well into 2025, cloud attacks are evolving faster than ever and artificial intelligence (AI) is both a weapon and a shield. As AI rapidly changes how enterprises innovate, security teams are now tasked with a triple burden: Secure AI embedded in every part of the business. Use AI to defend faster and smarter. Fight AI-powered threats that execute in minutes—or seconds. Security is no longer about balancing speed and safety. In today's cloud-native world, real-time, context-aware defense is a baseline expectation, not a competitive edge. The recent Sysdig Cloud Defense Report 2025 breaks down this tectonic shift. Below, we unpack its key insights for security practitioners aiming to stay ahead of an accelerating threat landscape. AI: The Double-Edged Sword of Cloud Security AI is transforming the security paradigm. It's both empowering defenders while creating entirely new attack surfaces. AI for Security: Fighting Fire with Fire Attackers are automating f...

Microsoft has released an advisory for a high-severity security flaw affecting on-premise versions of Exchange Server that could allow an attacker to gain elevated privileges under certain conditions. The vulnerability, tracked as CVE-2025-53786 , carries a CVSS score of 8.0. Dirk-jan Mollema with Outsider Security has been acknowledged for reporting the bug. "In an Exchange hybrid deployment, an attacker who first gains administrative access to an on-premises Exchange server could potentially escalate privileges within the organization's connected cloud environment without leaving easily detectable and auditable traces," the tech giant said in the alert. "This risk arises because Exchange Server and Exchange Online share the same service principal in hybrid configurations." Successful exploitation of the flaw could allow an attacker to escalate privileges within the organization's connected cloud environment without leaving easily detectable and audit...

Microsoft on Tuesday announced an autonomous artificial intelligence (AI) agent that can analyze and classify software without assistance in an effort to advance malware detection efforts. The large language model (LLM)-powered autonomous malware classification system, currently a prototype, has been codenamed Project Ire by the tech giant. The system "automates what is considered the gold standard in malware classification: fully reverse engineering a software file without any clues about its origin or purpose," Microsoft said . "It uses decompilers and other tools, reviews their output, and determines whether the software is malicious or benign." Project Ire, per the Windows maker, is an effort to enable malware classification at scale, accelerate threat response, and reduce the manual efforts that analysts have to undertake in order to examine samples and determine if they are malicious or benign. Specifically, it uses specialized tools to reverse engineer...

In SaaS security conversations, "misconfiguration" and "vulnerability" are often used interchangeably. But they're not the same thing. And misunderstanding that distinction can quietly create real exposure. This confusion isn't just semantics. It reflects a deeper misunderstanding of the shared responsibility model, particularly in SaaS environments where the line between vendor and customer responsibility is often unclear. A Quick Breakdown Vulnerabilities are flaws in the codebase of the SaaS platform itself. These are issues only the vendor can patch. Think zero-days and code-level exploits. Misconfigurations , on the other hand, are user-controlled. They result from how the platform is set up—who has access, what integrations are connected, and what policies are enforced (or not). A misconfiguration might look like a third-party app with excessive access, or a sensitive internal site that is accidentally public. A Shared Model, but Split Responsibilities Most SaaS providers...

Some of the most devastating cyberattacks don't rely on brute force, but instead succeed through stealth. These quiet intrusions often go unnoticed until long after the attacker has disappeared. Among the most insidious are man-in-the-middle (MITM) attacks, where criminals exploit weaknesses in communication protocols to silently position themselves between two unsuspecting parties Fortunately, protecting your communications from MITM attacks doesn't require complex measures. By taking a few simple steps, your security team can go a long way in securing users' data and keeping silent attackers at bay. Know your enemy In a MITM attack , a malicious actor intercepts communications between two parties (such as a user and a web app) to steal sensitive information. By secretly positioning themselves between the two ends of the conversation, MITM attackers can capture data like credit card numbers,  login credentials , and account details. This stolen information o...

Cybersecurity researchers have flagged a previously undocumented Linux backdoor dubbed Plague that has managed to evade detection for a year. "The implant is built as a malicious PAM (Pluggable Authentication Module), enabling attackers to silently bypass system authentication and gain persistent SSH access," Nextron Systems researcher Pierre-Henri Pezier said . Pluggable Authentication Modules refers to a suite of shared libraries used to manage user authentication to applications and services in Linux and UNIX-based systems. Given that PAM modules are loaded into privileged authentication processes, a rogue PAM can enable theft of user credentials, bypass authentication checks, and remain undetected by security tools. The cybersecurity company said it uncovered multiple Plague artifacts uploaded to VirusTotal since July 29, 2024, with none of them detected by antimalware engines as malicious. What's more, the presence of several samples signals active developme...

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...

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...

Google has announced that it's making available a security feature called Device Bound Session Credentials (DBSC) in open beta to ensure that users are safeguarded against session cookie theft attacks. DBSC, first introduced as a prototype in April 2024, is designed to bind authentication sessions to a device so as to prevent threat actors from using stolen cookies to sign-in to victims' accounts and gain unauthorized access from a separate device under their control. "Available in the Chrome browser on Windows, DBSC strengthens security after you are logged in and helps bind a session cookie – small files used by websites to remember user information – to the device a user authenticated from," Andy Wen, senior director of product management at Google Workspace, said . DBSC is not only meant to secure user accounts post-authentication. It makes it a lot more difficult for bad actors to reuse session cookies and improves session integrity. The company also note...

Picture this: you've hardened every laptop in your fleet with real‑time telemetry, rapid isolation, and automated rollback. But the corporate mailbox—the front door for most attackers—is still guarded by what is effectively a 1990s-era filter. This isn't a balanced approach. Email remains a primary vector for breaches, yet we often treat it as a static stream of messages instead of a dynamic, post-delivery environment. This environment is rich with OAuth tokens, shared drive links, and years of sensitive data. The conversation needs to shift. We should stop asking, "Did the gateway block the bad thing?" and start asking, "How quickly can we see, contain, and undo the damage when an attacker inevitably gets in?" Looking at email security through this lens forces a fundamental shift toward the same assume-breach, detect-and-respond mindset that already revolutionized endpoint protection. The day the wall crumbled Most security professionals know the statisti...

Security experts have been talking about Kerberoasting for over a decade, yet this attack continues to evade typical defense methods. Why? It's because existing detections rely on brittle heuristics and static rules, which don't hold up for detecting potential attack patterns in highly variable Kerberos traffic. They frequently generate false positives or miss "low-and-slow" attacks altogether.  Is there a better and more accurate way for modern organizations to detect subtle anomalies within irregular Kerberos traffic? The BeyondTrust research team sought to answer this question by combining security research insights with advanced statistics. This article offers a high-level look into the driving forces behind our research and our process of developing and testing a new statistical framework for improving Kerberos anomaly detection accuracy and reducing false positives. An Introduction to Kerberoasting Attacks  Kerberoasting attacks take advantage of the Kerberos netwo...

By 2025, Zero Trust has evolved from a conceptual framework into an essential pillar of modern security. No longer merely theoretical, it's now a requirement that organizations must adopt. A robust, defensible architecture built on Zero Trust principles does more than satisfy baseline regulatory mandates. It underpins cyber resilience, secures third-party partnerships, and ensures uninterrupted business operations. In turn, more than 80% of organizations plan to implement Zero Trust strategies by 2026, according to a recent Zscaler report .  In the context of Zero Trust, artificial intelligence (AI) can assist greatly as a tool for implementing automation around adaptive trust and continuous risk evaluation. In a Zero Trust architecture, access decisions must adapt continuously to changing factors such as device posture, user behavior, location, workload sensitivity, and more. This constant evaluation generates massive volumes of data, far beyond what human teams can process alo...

The modern-day threat landscape requires enterprise security teams to think and act beyond traditional cybersecurity measures that are purely passive and reactive, and in most cases, ineffective against emerging threats and sophisticated threat actors. Prioritizing cybersecurity means implementing more proactive, adaptive, and actionable measures that can work together to effectively address the threats that most affect your business. Ideally, these measures should include the implementation of a Continuous Threat Exposure Management (CTEM) program, Vulnerability Management, and Attack Surface Management (ASM), which are all very different from one another, yet overlap. With CTEM , vulnerability management, and ASM, it's not a question of which one is "better" or "more effective", as they complement each other uniquely. By adopting all three, security teams get the continuous visibility and context they need to proactively boost defenses, giving them a le...

AI agents promise to automate everything from financial reconciliations to incident response. Yet every time an AI agent spins up a workflow, it has to authenticate somewhere; often with a high-privilege API key, OAuth token, or service account that defenders can't easily see. These "invisible" non-human identities (NHIs) now outnumber human accounts in most cloud environments, and they have become one of the ripest targets for attackers. Astrix's Field CTO Jonathan Sander put it bluntly in a recent Hacker News webinar : "One dangerous habit we've had for a long time is trusting application logic to act as the guardrails. That doesn't work when your AI agent is powered by LLMs that don't stop and think when they're about to do something wrong. They just do it." Why AI Agents Redefine Identity Risk Autonomy changes everything: An AI agent can chain multiple API calls and modify data without a human in the loop. If the underlying credential is exposed or overprivileged, each addit...

With nearly 80% of cyber threats now mimicking legitimate user behavior, how are top SOCs determining what's legitimate traffic and what is potentially dangerous? Where do you turn when firewalls and endpoint detection and response (EDR) fall short at detecting the most important threats to your organization? Breaches at edge devices and VPN gateways have risen from 3% to 22%, according to Verizon's latest Data Breach Investigations report. EDR solutions are struggling to catch zero-day exploits, living-off-the-land techniques, and malware-free attacks. Nearly 80% of detected threats use malware-free techniques that mimic normal user behavior, as highlighted in CrowdStrike's 2025 Global Threat Report. The stark reality is that conventional detection methods are no longer sufficient as threat actors adapt their strategies, using clever techniques like credential theft or DLL hijacking to avoid discovery.  In response, security operations centers (SOCs) are turning to a multi-lay...

Despite years of investment in Zero Trust, SSE, and endpoint protection, many enterprises are still leaving one critical layer exposed: the browser. It's where 85% of modern work now happens. It's also where copy/paste actions, unsanctioned GenAI usage, rogue extensions, and personal devices create a risk surface that most security stacks weren't designed to handle. For security leaders who know this blind spot exists but lack a roadmap to fix it, a new framework may help. The Secure Enterprise Browser Maturity Guide: Safeguarding the Last Mile of Enterprise Risk , authored by cybersecurity researcher Francis Odum, offers a pragmatic model to help CISOs and security teams assess, prioritize, and operationalize browser-layer security. It introduces a clear progression from basic visibility to real-time enforcement and ecosystem integration, built around real-world threats, organizational realities, and evolving user behavior. Why the Browser Has Become the Security Blind Spot Over ...