Authentication | Breaking Cybersecurity News | The Hacker News

Why Authentication Context Matters Most people think logging in is a small act. Type your password, type your code, tap a screen, scan a face, and move on. But to the systems on the other side, the method behind that moment can matter just as much as the fact that it happened at all. That is where two strangely named but surprisingly important identity concepts enter the story: OIDC's AMR and SAML 2.0's AuthnContext. They sound like the kind of acronyms that only standards committees could love, yet both were created to answer a deeply human question in digital form: How sure a system has to be before it trusts someone? The backstory starts with the internet growing up. Early online services often treated authentication as a light switch: either the user was in, or the user was out. But as online systems began handling payroll, health records, taxes, academic data, contracts, and financial approvals, that simple model started to crack. A login backed by a reused password is not ...

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?  ...

Identity-based attacks are the #1 cause of breaches, often exploiting weaknesses in traditional identity platforms. It's time for a proactive approach that addresses these gaps and stops threats before they strike. Identity has become the primary attack surface in cybersecurity. According to Forbes, 75% of cyberattacks leverage identity-based threats. Threat actors gain access using stolen credentials, compromised devices, and deepfake impersonation techniques, often bypassing traditional defenses without detection. Many identity platforms rely on MFA, such as push notifications and one-time passcodes (OTPs), which were once considered secure but are now frequently exploited through phishing, MFA fatigue, and man-in-the-middle attacks. The rise of generative AI has made these threats more effective and more prevalent.  To compensate, organizations have deployed tools like Endpoint Detection and Response (EDR), Network Detection and Response (NDR), and Identity Threat Detection ...

SaaS applications are the backbone of modern organizations, powering productivity and collaboration. However, they also introduce critical security risks—identity sprawl, misconfigurations, and an expanding attack surface. Identity providers have become a prime target for threat actors, prompting security teams to focus on protecting identities across multiple SaaS environments. To mitigate these risks, many organizations adopt SaaS Security Posture Management (SSPM) to harden configurations, enforce least-privilege access, and maintain visibility over human and non-human identities. SSPM is an essential preventive tool that improves cyber hygiene by reducing the attack surface. Yet prevention alone is not enough in today's evolving threat landscape. Identity Threat Detection and Response (ITDR) is crucial to bridge this gap and enable organizations to detect and respond fast to active threats targeting their identity infrastructure. The Growing Threat to SaaS Identities The rise i...

Two years ago, who would have thought that Artificial Intelligence (AI) would transform how we interact with information? With the latest advancements in OpenAI and Anthropic models, breaking all limits with every new release, agents are inevitable. Last month, Anthropic released their "Computer agent," which can control a computer to perform actions based on user prompts. This raises some serious concerns: How does access control work? Imagine you have an army of agents, each specializing in a particular area. Would you be comfortable delegating all your access to these agents? Before getting to it, let's define what an AI Agent is. AWS defines an agent as "a software program that can interact with its environment, collect data, and use the data to perform self-determined tasks to meet predetermined goals." Few Facts About Agents Agents are "smart" computing units capable of performing tasks, but here are a few things to note: Humans are responsible for setting goals, and an a...