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For decades, organizations operated under the assumption that vulnerability management could be slotted into predictable maintenance windows. Monthly patch cycles, quarterly review periods, and planned outages became the standard rhythm of IT operations. Yet, in today's environment, where exploit code emerges within hours of a disclosure and attackers weaponize vulnerabilities on an industrial scale, those rhythms are dangerously outdated. The modern reality is that continuous patch management and end-to-end vulnerability lifecycle governance are no longer aspirational, they are the bare minimum. Security must be measured not by the comfort of predictability, but by the ability to remediate as close to real time as possible. The Problem with Periodic Maintenance Windows Exploitation Outpaces Response: exploits are increasingly released at or before vendor patch availability. A monthly or even bi-weekly patch cadence leaves systems exposed during the critical first days when atta...

Cybersecurity is undergoing a necessary transformation from reacting to threats as they arise to proactively anticipating and addressing them through Threat-Informed Defense (TID) . This shift emphasizes operational discipline over accumulating more tools. It involves using threat intelligence to streamline existing technologies, enhance the quality of security signals, and focus efforts on the threats most relevant to each organization. The goal is to continuously identify and close security gaps by combining insights from external threat data with internal defense capabilities. How do you put TID into practice? The team at  Filigran has broken down the TID framework into a six-stage pipeline to develop actionable chunks for cybersecurity leaders. In this article, we share the details so that your security teams can leverage it too to support TID. What is Threat-Informed Defense? First advocated by  MITRE , Threat-Informed Defense (TID) leverages MITRE ATT&CK framewo...

You're jolted awake by a 2:46 AM critical alert: ransomware in production. Customer data's compromised, systems are locked, and $1 million Bitcoin demand stares back at you. Your SIEM lit up. EDR flagged unusual file access. ITDR surfaced account anomalies. But it's too late. The attacker got in with stolen credentials, likely from a phishing email. Once authenticated, they slipped past your defenses, escalated privileges, and detonated ransomware. The post-incident report reveals what your tools missed: the initial login. If authentication had tapped real-time signals from your existing security stack — device compliance, threat intelligence, or login anomalies — the stolen credential could have been blocked at the login prompt, stopping the attack cold. Why Identity Is the New Perimeter Adversaries are increasingly focused on identities and credentials rather than fortified perimeters or servers. After all, why bother cracking a vault when you can stroll in with the keys?  ...

Generative AI has quietly become a part of the SaaS ecosystem that businesses use every day. Platforms like Zoom, Slack, Microsoft 365, and Salesforce now have AI assistants. You can use these tools to do things like write summaries of meetings or perform routine tasks. A recent  survey found that 95% of U.S. businesses now use generative AI. This is a big increase from last year. But this quick growth of AI features is making security leaders worried. Sensitive information could be leaked or used in the wrong way if there aren't enough controls in place. Shadow AI and Its Far-Reaching Risks When employees use AI apps without the knowledge or approval of IT, it creates shadow AI . This is akin to the shadow IT problem of unsanctioned cloud apps, but now with AI services. The unauthorized use of AI platforms can unknowingly expose organizations to data privacy issues, compliance violations, and even disinformation risks. We're already seeing these risks play out. Samsung engin...

The past year has marked a decisive shift in the way Distributed Denial-of-Service (DDoS) attacks operate. DDoS used to mean, simply speaking, the overwhelming of targets with massive amounts of traffic. But now, DDoS attacks have evolved into precision-guided threats – and this transformation can be partly attributed to AI.  The acceleration is measurable. In the first quarter of 2025 alone, DDoS incidents surged by 358 percent compared to the same period in 2024, according to Cloudflare. Even more concerning, the proportion of attacks that caused actual production downtime rose by 53 percent. This is not just a spike. It is a sign that attackers are fundamentally changing how DDoS campaigns are planned, launched, and adapted in real time. The consequences are significant: organizations that rely on legacy DDoS defenses or irregular testing methods are finding themselves exposed, often without knowing it. How Attackers are Enhancing DDoS Attacks DDoS attacks historically reli...

Identity Is the New Perimeter—And It's Fractured In 2025, identity isn't just a security issue—it's the battleground. And too many organizations are getting caught flat-footed. Organizations today must reckon with complex hybrid environments that contain interconnected endpoints, servers, cloud services, DevOps systems, identity infrastructure, and much more. And with enterprise systems no longer fitting neatly into a single network perimeter, the identities used to interact with these systems have become the new perimeter.  A strong cybersecurity foundation starts with clear visibility that puts risk in content. Identity security is no different. However, in practice, identity management systems are anything but centralized. Building IDs and access to physical offices are handled by one system. Logins to Windows machines are generally managed with Windows domains and Active Directory—but what about Macs and Linux machines? Companies use Okta, Ping Identity, or the equivalent ...

While emerging risks like AI-generated malware capture headlines, the reality of today's threat landscape is more straightforward. Most modern attacks, including ransomware, are backed by manual hacking operations. Attackers carefully navigate systems, using a "Living Off the Land" (LOTL) approach, to exploit legitimate system utilities. To figure out exactly how common these LOTL binaries are, we analyzed 700,000 security incidents from our Bitdefender GravityZone platform along with telemetry data (legitimate usage) from the last 90 days. Security incidents were not simple alerts, but correlated events, and we analyzed the whole chain of commands to identify how frequently attackers are using LOTL binaries. The result? 84% of major attacks (incidents with high severity) involved the use of LOTL binaries. For validation, we also examined our MDR data and found a consistent trend: 85% of incidents involved LOTL techniques. While this was our internal research to suppor...

The surge in DDoS attack traffic this year has been driven in part by the rapid expansion of IoT devices - from smart watches and home appliances to cars, hundreds of millions of new devices are joining the global internet. Many of these new devices feature poor security and are easily added to attacker's pool of botnets.  It is true that the DDoS threat grows alongside internet expansion. But the relationship isn't linear. The true catalyst behind this surge lies in the mass availability of botnet-for-hire platforms and low-barrier attack tools. Meanwhile, the number of high-value targets – such as financial institutions, governments, and critical infrastructure – remains relatively fixed. The result is a growing imbalance, in which more attackers are armed with more tools - targeting the same essential services with increasing frequency and complexity. How AI Makes DDoS More Dangerous  AI and machine learning are impacting the evolution of DDoS strategies and tactics. T...