Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.
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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.
AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.
Google is using artificial intelligence to power a new Chrome scam protection feature that analyzes brands and the intent of pages as you browse the web. [...]
Google is planning to use "AI" in Chrome to detect scams when you browse random web pages. [...]
Barracuda CEO Hatem Naguib Shares Strategies for Email Protection, Managed ServicesWith cyberthreats becoming more sophisticated, Barracuda CEO Hatem Naguib explains how managed XDR and AI-driven email protection help SMBs. From stopping phishing attacks to automating incident response, Naguib highlights solutions that streamline operations and address cloud adoption risks.
OpenAI must also initiate a six-month public awareness campaign across Italian media, explaining how it processes personal data for AI training
Yes, LLMs can do the heavy lifting. But good luck getting one to give evidence CANALYS FORUMS APAC Generative AI is being enthusiastically adopted in almost every field, but infosec experts are divided on whether it is truly helpful for red team raiders who test enterprise systems.…
Infoblox CEO Scott Harrell Pushes Unified Strategy Amid Hybrid Cloud ConvergenceScott Harrell, CEO of Infoblox, explores the convergence of network operations, security operations and cloud operations to tackle hybrid infrastructure complexities. He introduces Universal DDI and emphasizes a shift toward proactive threat management to counter AI-driven malware.
Seemingly innocent "white pages," including an elaborate Star Wars-themed site, are bypassing Google's malvertising filters, showing up high in search results to lure users to second-stage phishing sites.
The EU Data Protection Board (EDPB) published a long-awaited opinion on how GDPR should apply to AI models
A Morphisec researcher showed how an attacker could manipulate FIRST’s Exploit Prediction Scoring System (EPSS) using AI
The number of DDoS-related incidents targeting APIs have jumped by 30x compared with traditional Web assets, suggesting that attackers see the growing API landscape as the more attractive target.
All it took to make an Google Edge TPU give up model hyperparameters was specific hardware, a novel attack technique … and several days Computer scientists from North Carolina State University have devised a way to copy AI models running on Google Edge Tensor Processing Units (TPUs), as used in Google Pixel phones and third-party machine learning accelerators.…
Deal Targets Open Source Library Risks in Software Supply Chain, Boosts DevSecOpsThe integration of Tidelift into Sonar's ecosystem will enhance software supply chain security by leveraging human-verified insights from maintainers of popular open source libraries. Developers can expect comprehensive tools to address vulnerabilities in first-party, AI-generated, and third-party code.
Lawmakers Urge Washington to Adapt Current Laws to Avoid DuplicationThe bipartisan House Task Force on AI released a final report Tuesday urging Congress to adopt an agile, incremental approach to AI policy, avoid duplicative regulations, support AI talent pathways and ensure privacy and transparency in AI governance while addressing its growing energy demands.
The cybersecurity startup's data loss protection platform uses contextual redaction to help organizations safely use private business information across AI platforms.
Deal With BlackBerry Integrates EDR for Hybrid XDR Platform for Midmarket CustomersArctic Wolf is acquiring Cylance from BlackBerry for $160 million to integrate its AI-driven EDR technology into a hybrid XDR tool. The move aims to streamline cybersecurity for midmarket companies by combining services with product offerings, cutting operational complexity and boosting scalability.
Artificial intelligence capabilities are coming to a desktop near you — with Microsoft 365 Copilot, Google Gemini with Project Jarvis, and Apple Intelligence all arriving (or having arrived). But what are the risks?
Brett Barton of Unisys on Bridging the AI Readiness Gap for Competitive AdvantageMore than 93% of organizations believe AI will be a permanent part of their strategies but only 30% say their current adoption levels give them a competitive edge. This gap stems from data, talent and operational challenges, said Brett Barton, vice president and global AI practice leader at Unisys.
With the evolution of modern software development, CI/CD pipeline governance has emerged as a critical factor in maintaining both agility and compliance. As we enter the age of artificial intelligence (AI), the importance of robust pipeline governance has only intensified. With that said, we’ll explore the concept of CI/CD pipeline governance and why it's vital, especially as AI becomes
Cybersecurity researchers are calling attention to a new kind of investment scam that leverages a combination of social media malvertising, company-branded posts, and artificial intelligence (AI) powered video testimonials featuring famous personalities, ultimately leading to financial and data loss