Search results for AI prompt security | Breaking Cybersecurity News | The Hacker News

DALL-E for coders? That's the promise behind vibe coding, a term describing the use of natural language to create software. While this ushers in a new era of AI-generated code, it introduces "silent killer" vulnerabilities: exploitable flaws that evade traditional security tools despite perfect test performance. A detailed analysis of secure vibe coding practices is available here . TL;DR: Secure Vibe Coding Vibe coding, using natural language to generate software with AI, is revolutionizing development in 2025. But while it accelerates prototyping and democratizes coding, it also introduces "silent killer" vulnerabilities: exploitable flaws that pass tests but evade traditional security tools. This article explores: Real-world examples of AI-generated code in production Shocking stats: 40% higher secret exposure in AI-assisted repos Why LLMs omit security unless explicitly prompted Secure prompting techniques and tool comparisons (GPT-4, Claude, Cursor, etc.) Reg...

In this article, we will provide a brief overview of Pillar Security's platform to better understand how they are tackling AI security challenges. Pillar Security is building a platform to cover the entire software development and deployment lifecycle with the goal of providing trust in AI systems. Using its holistic approach, the platform introduces new ways of detecting AI threats, beginning at pre-planning stages and going all the way through runtime. Along the way, users gain visibility into the security posture of their applications while enabling safe AI execution. Pillar is uniquely suited to the challenges inherent in AI security. Co-founder and CEO Dor Sarig comes from a cyber-offensive background, having spent a decade leading security operations for governmental and enterprise organizations. In contrast, co-founder and CTO Ziv Karlinger spent over ten years developing defensive techniques, securing against financial cybercrime and securing supply chains. Together, th...

Microsoft on Tuesday unveiled the expansion of its Sentinel Security Incidents and Event Management solution (SIEM) as a unified agentic platform with the general availability of the Sentinel data lake. In addition, the tech giant said it's also releasing a public preview of Sentinel Graph and Sentinel Model Context Protocol ( MCP ) server to turn telemetry into a security graph and allow AI agents access an organization's security context in a standardized manner. "With graph-based context, semantic access, and agentic orchestration, Sentinel gives defenders a single platform to ingest signals, correlate across domains, and empower AI agents built in Security Copilot, VS Code using GitHub Copilot, or other developer platforms," Vasu Jakkal, corporate vice president at Microsoft Security, said in a post shared with The Hacker News. Microsoft released Sentinel data lake in public preview earlier this July as a purpose-built, cloud-native tool to ingest, manage...

AI holds the promise to revolutionize all sectors of enterpriseーfrom fraud detection and content personalization to customer service and security operations. Yet, despite its potential, implementation often stalls behind a wall of security, legal, and compliance hurdles. Imagine this all-too-familiar scenario : A CISO wants to deploy an AI-driven SOC to handle the overwhelming volume of security alerts and potential attacks. Before the project can begin, it must pass through layers of GRC (governance, risk, and compliance) approval, legal reviews, and funding hurdles. This gridlock delays innovation, leaving organizations without the benefits of an AI-powered SOC while cybercriminals keep advancing. Let's break down why AI adoption faces such resistance, distinguish genuine risks from bureaucratic obstacles, and explore practical collaboration strategies between vendors, C-suite, and GRC teams. We'll also provide tips from CISOs who have dealt with these issues extensively as w...

Within the past year, artificial intelligence copilots and agents have quietly permeated the SaaS applications businesses use every day. Tools like Zoom, Slack, Microsoft 365, Salesforce, and ServiceNow now come with built-in AI assistants or agent-like features. Virtually every major SaaS vendor has rushed to embed AI into their offerings. The result is an explosion of AI capabilities across the SaaS stack, a phenomenon of AI sprawl where AI tools proliferate without centralized oversight. For security teams, this represents a shift. As these AI copilots scale up in use, they are changing how data moves through SaaS. An AI agent can connect multiple apps and automate tasks across them, effectively creating new integration pathways on the fly. An AI meeting assistant might automatically pull in documents from SharePoint to summarize in an email, or a sales AI might cross-reference CRM data with financial records in real time. These AI data connections form complex, dynamic pathways...

Over 30 security vulnerabilities have been disclosed in various artificial intelligence (AI)-powered Integrated Development Environments (IDEs) that combine prompt injection primitives with legitimate features to achieve data exfiltration and remote code execution. The security shortcomings have been collectively named IDEsaster by security researcher Ari Marzouk (MaccariTA), who discovered them over the last six months. They affect popular IDEs and extensions such as Cursor, Windsurf, Kiro.dev, GitHub Copilot, Zed.dev, Roo Code, Junie, and Cline, among others. Of these, 24 have been assigned CVE identifiers. "I think the fact that multiple universal attack chains affected each and every AI IDE tested is the most surprising finding of this research," Marzouk told The Hacker News. "All AI IDEs (and coding assistants that integrate with them) effectively ignore the base software (IDE) in their threat model. They treat their features as inherently safe because they've...

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO...

Generative AI is not arriving with a bang, it's slowly creeping into the software that companies already use on a daily basis. Whether it is video conferencing or CRM, vendors are scrambling to integrate AI copilots and assistants into their SaaS applications. Slack can now provide AI summaries of chat threads, Zoom can provide meeting summaries, and office suites such as Microsoft 365 contain AI assistance in writing and analysis. This trend of AI usage implies that the majority of businesses are awakening to a new reality: AI capabilities have spread across their SaaS stack overnight, with no centralized control. A recent survey found 95% of U.S. companies are now using generative AI, up massively in just one year. Yet this unprecedented usage comes tempered by growing anxiety. Business leaders have begun to worry about where all this unseen AI activity might lead. Data security and privacy have quickly emerged as top concerns, with many fearing that sensitive information could le...

The newly released OpenAI ChatGPT Atlas web browser has been found to be susceptible to a prompt injection attack where its omnibox can be jailbroken by disguising a malicious prompt as a seemingly harmless URL to visit. "The omnibox (combined address/search bar) interprets input either as a URL to navigate to, or as a natural-language command to the agent," NeuralTrust said in a report published Friday. "We've identified a prompt injection technique that disguises malicious instructions to look like a URL, but that Atlas treats as high-trust 'user intent' text, enabling harmful actions." Last week, OpenAI launched Atlas as a web browser with built-in ChatGPT capabilities to assist users with web page summarization, inline text editing, and agentic functions. In the attack outlined by the artificial intelligence (AI) security company, an attacker can take advantage of the browser's lack of strict boundaries between trusted user input and untru...

Security Operations Centers (SOCs) today face unprecedented alert volumes and increasingly sophisticated threats. Triaging and investigating these alerts are costly, cumbersome, and increases analyst fatigue, burnout, and attrition. While artificial intelligence has emerged as a go-to solution, the term "AI" often blurs crucial distinctions. Not all AI is built equal, especially in the SOC. Many existing solutions are assistant-based, requiring constant human input, while a new wave of autonomous, Agentic AI has the potential to fundamentally transform security operations. This article examines Agentic AI (sometimes also known as Agentic Security ), contrasts it with traditional assistant-based AI (commonly known as Copilots), and explains its operational and economic impacts on modern SOCs. We'll also explore practical considerations for security leaders evaluating Agentic AI solutions. Agentic AI vs. Assistant AI (aka Copilots): Clarifying the Difference Agentic AI is defined by ...