Zero Trust | Breaking Cybersecurity News | The Hacker News

Secure Service Edge (SSE) has somehow become the default answer to a very real problem: how do you secure access in a world of GenAI, hybrid work, SaaS sprawl, unmanaged devices, and third-party users, without rebuilding your entire network? On paper, SSE looks like the modern solution. Consolidation. Centralized policy. One pane of glass. In practice, many teams discover something uncomfortable after rollout: the POC proved the architecture, not the risk reduction. The demo worked. Production didn't. Why is this? Network "rip and replace." - Most SSE deployments still require traffic steering, tunnels, PAC files, certificate gymnastics, and coordination across networking, identity, security, and IT just to reach baseline enforcement. That's a lot of moving parts before you've reduced a single real risk. Limited browser and session visibility. - SSE platforms primarily see connections , not actions . URLs, IPs, flows. But modern risk lives inside the browser and SaaS session:...

The world of identity security is in constant motion. What was once a straightforward matter of usernames and passwords has evolved into a complex ecosystem of biometrics, hardware tokens, and zero-trust architectures. As we look toward 2026, the pace of change is only accelerating. The lines between our digital and physical identities are blurring, and the threat landscape is becoming more sophisticated. Chief Information Security Officers spend their days on the front lines of this evolution. Staying ahead isn't just about reacting to threats; it's about anticipating them to reduce risk. Based on the trends I'm seeing today, here are 9 identity security predictions for where we'll be in 2026. 1. AI will become the primary identity governance tool. Manual access reviews and role-based access control (RBAC) models are already showing their age. By 2026, AI-driven identity governance and administration (IGA) will be standard. These systems will continuously analyze u...

Enterprise adoption of AI is no longer a future trend; it's a present-day reality. As organizations race to leverage AI for innovations, security teams are grappling with a new, complex, and dynamic attack surface. AI is breaking the operational silos that currently segregate Cloud, SaaS and Endpoint Security; AI is everywhere and it is consuming enterprise data and assets across these channels. Traditional security tools, designed for cloud infrastructure and SaaS applications, are fundamentally ill-equipped to handle the unique risks posed by AI.  AI security posture management (AI-SPM) solutions can provide relief by protecting critical AI assets, but it's important to note that not all AI-SPM solutions are created equal. Many solutions offer only basic posture checks and are focused predominantly on infrastructure and vulnerability management. In addition, most focus solely on Cloud or SaaS, leaving many blind spots when trying to get the full picture of your AI landscape. ...

The employee who doesn't exist Not long ago, the idea of a fake employee sounded far-fetched. Resume fraud? Sure. Outsourced interviews? Occasionally. But a completely synthetic person (face, voice, work history, and identity) getting hired, onboarded, and trusted inside a company used to feel like science fiction. That era is over. Gartner predicts that by 2028, one in four candidate profiles worldwide could be fake . The firm also reports that 6% of job candidates admit to interview fraud, including impersonation or having someone else interview for them. Hiring teams are already seeing face-swapping and synthetic identities appear in real interview workflows. Taken together, the pattern is clear: companies are increasingly interviewing, and in some cases hiring, people who don't exist. These "employees" can pass screening, ace remote interviews, and start work with legitimate credentials. Then, once inside, they steal data, map internal systems, divert funds, or quietly set the...

In November 2025, Anthropic revealed a cyber espionage campaign dubbed GTG-1002, the first documented case of an AI agent orchestrating real-world intrusions with minimal human input. A Chinese state-sponsored group manipulated Anthropic's Claude Code assistant into executing about 80% of a multi-target hacking campaign autonomously. Instead of merely advising cybercriminals, the AI took control of key steps: reconnaissance, vulnerability discovery, exploitation, credential theft, and data exfiltration across dozens of organizations. The result was an operation running at machine tempo. Claude performed tasks in a fraction of the time a human team would need, even identifying sensitive databases and writing exploits in seconds. Figure 1: The distinct phases of the Claude cyberattack At the peak of the attack, the AI made thousands of requests (often several per second), an onslaught of activity impossible for humans to match. This speed and scale of automation is a game changer: a...

Employees are increasingly using personal AI tools, AI-powered extensions, and emerging agentic browsers to accelerate their work. But unlike sanctioned AI platforms, these tools operate inside the browser runtime, where neither CASBs, SWGs, EDRs, nor DLP solutions have visibility. This has quietly turned the browser into an unmanaged AI execution environment, giving way to a new threat known as shadow AI. Shadow AI isn't just the latest buzzword; it's a serious risk that leaves organizations vulnerable to data loss, cyberattacks, compliance violations, and more.  What is Shadow AI? Shadow AI refers to GenAI-powered tools, browser extensions, and browsers that workers use on their own, without any company vetting or guidance. Different from shadow IT, where unsanctioned apps or devices slip through the cracks, shadow AI lives directly in the browser.  For example, employees might use their personal Claude accounts to work with sensitive company data or work on important pr...

In cybersecurity, the old adage "trust but verify" emphasizes that granting trust should always be accompanied by oversight. Yet, with software-as-a-service (SaaS), organizations often stop at the "trust" part and never get around to the "verify." SaaS environments in 2025 run on implicit trust. Once a user or app is authenticated and given access, it's largely trusted indefinitely. Tokens issued to third-party apps rarely expire, integrations often get more permissions than they truly need, and automations execute with minimal human oversight. We talk about Zero Trust principles, but in practice, many SaaS platforms grant one-time approval and then assume all is well thereafter. The result is a growing security gap, where credentials and connections are implicitly trusted far beyond what's safe, creating fertile ground for breaches and abuse. Implicit Trust in the SaaS Ecosystem Every SaaS integration or API token represents an implicit trust relationship between your organizatio...

Artificial Intelligence (AI) has served as a great resource for cyber defenders by enabling real-time detection and response through advanced pattern recognition and predictive analysis that traditional methods weren't able to achieve. However, AI has recently become a dangerous and widely available enabler for attackers to leverage. CISOs now face adversaries who easily scale large-scale cyberattacks like spear-phishing and polymorphic malware at machine speed.  This article examines the rising AI-driven cyberthreat landscape and presents the browser, the enterprises' new endpoint, as the most strategic control plane for defense. By adopting a Secure Enterprise Browser (SEB) into the security stack, enterprises can reduce their attack surface, contain incidents at scale, and future-proof themselves against these advanced attacks.  Why Traditional Defenses Struggle Against AI  Most organizations have robust defense in place against cyberattacks, such as firewalls, EDR...

As hybrid and multi-cloud environments become the standard, organizations are under growing pressure to deliver scalable and secure remote access. Traditionally, Virtual Private Networks (VPNs) have been the go-to solution for connecting remote users to corporate networks. While VPNs have been essential for remote access, they were originally designed for simpler, perimeter-based security models. Organizations that rely solely on VPNs face significant limitations, including weak access control, increased risk of lateral movement and poor visibility. Continue reading to learn the limitations of VPN-based access and how KeeperPAM® provides a strong, modern alternative for securing remote access. Why VPNs are no longer enough Although VPNs have been used to enable remote access within organizations, the limitations of VPNs are becoming increasingly clear as IT environments span across multiple on-premises, hybrid and remote systems. Relying on VPN-based access alone can actually make ...