AI Security | Breaking Cybersecurity News | The Hacker News

Security teams face growing demands with more tools, more data, and higher expectations than ever. Boards approve large security budgets, yet still ask the same question: what is the business getting in return? CISOs respond with reports on controls and vulnerability counts – but executives want to understand risk in terms of financial exposure, operational impact, and avoiding loss. The disconnect has become difficult to ignore. The average cost of a breach has reached $4.88 million, according to recent IBM data . That figure reflects not just incident response but also downtime, lost productivity, customer attrition, and the extended effort required to restore operations and trust. The fallout is rarely confined to security. Security leaders need a model that brings those consequences into view before they surface. A Business Value Assessment (BVA) offers that model. It links exposures to cost, prioritization to return, and prevention to tangible value. This article will explain ...

Traditional data leakage prevention (DLP) tools aren't keeping pace with the realities of how modern businesses use SaaS applications. Companies today rely heavily on SaaS platforms like Google Workspace, Salesforce, Slack, and generative AI tools, significantly altering the way sensitive information is handled. In these environments, data rarely appears as traditional files or crosses networks in ways endpoint or network-based DLP tools can monitor. Yet, most companies continue using legacy DLP systems, leaving critical security gaps. A new white paper, Rethinking DLP For The SaaS Era: Why Browser-Centric DLP is the New Mandate , identifies precisely why current DLP methods struggle to secure modern SaaS-driven workflows. It also explores how browser-native security addresses these gaps by focusing security efforts exactly where user interactions occur, in the browser. Why Traditional DLP Tools Fall Short Traditional DLP solutions were built for a simpler time when sensitive...

Several malicious packages have been uncovered across the npm, Python, and Ruby package repositories that drain funds from cryptocurrency wallets, erase entire codebases after installation, and exfiltrate Telegram API tokens, once again demonstrating the variety of supply chain threats lurking in open-source ecosystems. The findings come from multiple reports published by Checkmarx, ReversingLabs, Safety, and Socket in recent weeks. The list of identified packages across these platforms are listed below - Socket noted that the two malicious gems were published by a threat actor under the aliases Bùi nam, buidanhnam, and si_mobile merely days after Vietnam ordered a nationwide ban on the Telegram messaging app late last month for allegedly not cooperating with the government to tackle illicit activities related to fraud, drug trafficking, and terrorism. "These gems silently exfiltrate all data sent to the Telegram API by redirecting traffic through a command-and-control (C2...

Continuous Threat Exposure Management (CTEM) has moved from concept to cornerstone, solidifying its role as a strategic enabler for CISOs. No longer a theoretical framework, CTEM now anchors today's cybersecurity programs by continuously aligning security efforts with real-world risk. At the heart of CTEM is the integration of Adversarial Exposure Validation (AEV), an advanced, offensive methodology powered by proactive security tools including External Attack Surface Management (ASM), autonomous penetration testing and red teaming, and Breach and Attack Simulation (BAS). Together, these AEV tools transform how enterprises proactively identify, validate, and reduce risks, turning threat exposure into a manageable business metric. CTEM reflects a broader evolution in how security leaders measure effectiveness and allocate resources. As board expectations grow and cyber risk becomes inseparable from business risk, CISOs are leveraging CTEM to drive measurable, outcome-based security ...

The cybersecurity landscape has been dramatically reshaped by the advent of generative AI. Attackers now leverage large language models (LLMs) to impersonate trusted individuals and automate these social engineering tactics at scale.  Let's review the status of these rising attacks, what's fueling them, and how to actually prevent, not detect, them.  The Most Powerful Person on the Call Might Not Be Real Recent threat intelligence reports highlight the growing sophistication and prevalence of AI-driven attacks: Voice Phishing Surge: According to CrowdStrike's 2025 Global Threat Report , there was a 442% increase in voice phishing (vishing) attacks between the first and second halves of 2024, driven by AI-generated phishing and impersonation tactics. Social Engineering Prevalence: Verizon's 2025 Data Breach Investigations Report indicates that social engineering remains a top pattern in breaches, with phishing and pretexting accounting for a significant portion of inc...

It wasn't ransomware headlines or zero-day exploits that stood out most in this year's Verizon 2025 Data Breach Investigations Report (DBIR) — it was what fueled them. Quietly, yet consistently, two underlying factors played a role in some of the worst breaches: third-party exposure and machine credential abuse . According to the 2025 DBIR, third-party involvement in breaches doubled year-over-year, jumping from 15% to 30% . In parallel, attackers increasingly exploited machine credentials and ungoverned machine accounts to gain access, escalate privileges, and exfiltrate sensitive data. The message is clear: it's no longer enough to protect your employee users alone. To truly defend against modern threats, organizations must govern all identities — human, non-employee, and machine — within a unified security strategy. Third-Party Risk: Expanding Faster Than Organizations Can Control Today's enterprise is a patchwork of partnerships: contractors, vendors, business p...

How Many Gaps Are Hiding in Your Identity System? It's not just about logins anymore. Today's attackers don't need to "hack" in—they can trick their way in. Deepfakes, impersonation scams, and AI-powered social engineering are helping them bypass traditional defenses and slip through unnoticed. Once inside, they can take over accounts, move laterally, and cause long-term damage—all without triggering alarms. But here's the catch: most organizations only focus on parts of the identity lifecycle—usually authentication. That leaves critical gaps wide open during enrollment, recovery, and even routine access. This upcoming webinar from Beyond Identity and Nametag breaks down what it really takes to protect your entire identity lifecycle —from the first time a user joins, to every login, to the moment they forget their credentials. 🔐 What's Covered: AI Threats Are Already Here – Learn how attackers are using deepfakes to impersonate real users Phishing-Resistant MFA – Go beyond...

Find out how Reco keeps Microsoft 365 Copilot safe by spotting risky prompts, protecting data, managing user access, and identifying threats - all while keeping productivity high. Microsoft 365 Copilot promises to boost productivity by turning natural language prompts into actions. Employees can generate reports, comb through data, or get instant answers just by asking Copilot.  However, alongside this convenience comes serious security concerns. Copilot operates across a company's SaaS apps (from SharePoint to Teams and beyond), which means a careless prompt or a compromised user account could expose troves of sensitive information.  Security experts warn that organizations shouldn't assume default settings will keep them safe. Without proactive controls, every file in your organization could be accessible via Copilot. A malicious actor might use Copilot to discover and exfiltrate confidential data without having to manually search through systems. With the right prom...

When we talk about identity in cybersecurity, most people think of usernames, passwords, and the occasional MFA prompt. But lurking beneath the surface is a growing threat that does not involve human credentials at all, as we witness the exponential growth of Non-Human Identities (NHIs).  At the top of mind when NHIs are mentioned, most security teams immediately think of Service Accounts . But NHIs go far beyond that. You've got Service Principals , Snowflake Roles , IAM Roles , and platform-specific constructs from AWS, Azure, GCP, and more. The truth is, NHIs can vary just as widely as the services and environments in your modern tech stack, and managing them means understanding this diversity. The real danger lies in how these identities authenticate. Secrets: The Currency of Machines Non-Human Identities, for the most part, authenticate using secrets : API keys, tokens, certificates, and other credentials that grant access to systems, data, and critical infrastructure. Th...

As SaaS and cloud-native work reshape the enterprise, the web browser has emerged as the new endpoint. However, unlike endpoints, browsers remain mostly unmonitored, despite being responsible for more than 70% of modern malware attacks . Keep Aware's recent State of Browser Security report highlights major concerns security leaders face with employees using the web browser for most of their work. The reality is that traditional security tools are blind to what happens within the browser , and attackers know it. Key Findings: 70% of phishing campaigns impersonate Microsoft, OneDrive, or Office 365 to exploit user trust. 150+ trusted platforms like Google Docs and Dropbox are being abused to host phishing and exfiltrate data. 10% of AI prompts involve sensitive business content, posing risks across thousands of browser-based AI tools. 34% of file uploads on company devices go to personal accounts, often undetected. New Attack Patterns Bypass Traditional Defenses From phis...

AI agents have rapidly evolved from experimental technology to essential business tools. The OWASP framework explicitly recognizes that Non-Human Identities play a key role in agentic AI security. Their analysis highlights how these autonomous software entities can make decisions, chain complex actions together, and operate continuously without human intervention. They're no longer just tools, but an integral and significant part of your organization's workforce. Consider this reality: Today's AI agents can analyze customer data, generate reports, manage system resources, and even deploy code, all without a human clicking a single button. This shift represents both tremendous opportunity and unprecedented risk. AI Agents are only as secure as their NHIs Here's what security leaders are not necessarily considering: AI agents don't operate in isolation . To function, they need access to data, systems, and resources. This highly privileged, often overlooked acces...