1684 matches found
Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning
We define Oracle Poisoning, an attack class in which an adversary corrupts a structured knowledge graph that AI agents query at runtime via tool-use protocols, causing incorrect conclusions through correct reasoning. Unlike prompt injection, Oracle Poisoning manipulates the data agents reason ove...
webhunter
🕷️ WebHunter — OWASP Top 10 AI Scanner !Pythonhttps://im...
A Framework for AI Threat Readiness
AI models now find and exploit zero-days autonomously. This 4-pillar framework accelerates patching, analysis, and threat response...
DarkMoon - the Open-Source AI-Powered Autonomous Penetration Testing Platform
DarkMoon is an automated penetration testing tool that orchestrates complete security assessments using artificial intelligence security agents. Built as an open-source cybersecurity tool, it enables organizations to run professional-grade vulnerability assessments without manual intervention...
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey
Security alert screening is the downstream task of filtering, prioritizing, correlating, and contextualizing alerts for analyst attention in Security Operations Centers. This survey reviews artificial-intelligence-driven alert screening and alert-fatigue mitigation from 2015 to 2026. We synthesiz...
MAL-2026-3369 Malicious code in dabrius (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: kam193 4a154cab742b51be41ca413e20acccfed4290ac4cf692e1cfeb17a677df98bab The message hidden in the package description tries to convince AI agents to prefer installing the package, which then in multiple places marks execution and...
Scammers Use Hidden Text to Bypass AI Email Filters in Phishing Scams
Scammers are hiding invisible text inside phishing emails to manipulate AI-powered email filters and increase the chances of scams reaching inboxes...
Exploits and vulnerabilities in Q1 2026
During Q1 2026, the exploit kits leveraged by threat actors to target user systems expanded once again, incorporating new exploits for the Microsoft Office platform, as well as Windows and Linux operating systems. In this report, we dive into the statistics on published vulnerabilities and...
PT-2026-38583
Name of the Vulnerable Software and Affected Versions Azure AI Foundry M365 published agents affected versions not specified Description Improper access control in Azure AI Foundry M365 published agents allows an unauthorized attacker to elevate privileges over a network. Recommendations At the...
A Kid With a Fake Mustache Tricked an Online Age-Verification Tool
To stop children from bypassing its age checks, Meta is revamping its age-verification tools with an AI system that analyzes images and videos for “visual cues,” such as height and bone structure...
AI Survey: 50% of Organizations Struggle to Maintain Latency at Scale
The Akamai State of AI Inference report captures real data from the field that describes how AI inference is being built and scaled in production today...
Microsoft named an overall leader in KuppingerCole Analyst’s 2026 Emerging AI Security Operations Center (SOC) report
Security operations are entering a new phase. As attack techniques grow faster and more complex, the effectiveness of a SOC depends less on collecting more data and more on how well platforms can turn context into action at scale. KuppingerCole Analysts’ 2026 Emerging AI Security Operations Cente...
Hackers Hate AI Slop Even More Than You Do
It's not just you. Scammers, hackers, and other cybercriminals are complaining about “AI shit” flooding platforms where they discuss cyberattacks and other illegal activity...
Application Security Strategies Are Changing as AI-generated Code Floods the SDLC
AI-generated code is changing AppSec workflows, forcing teams to rethink SDLC security, dependency checks, code review, and risk prioritization...
Autonomous-AI-PenTest-Agent
Auto...
The Adversarial Discount - AI, Signal Correlation, and the Cybersecurity Arms Race
We study a contest-theoretic model of adversarial investment in which an attacker and a defender allocate resources to AI-augmented capabilities across multiple attack surfaces. The attacker's investment operates through two channels: it amplifies offensive potency unconditionally and erodes...
Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours
AI systems are entering critical domains like healthcare, finance, and defense, yet remain vulnerable to adversarial attacks. While AI red teaming is a primary defense, current approaches force operators into manual, library-specific workflows. Operators spend weeks hand-crafting workflows -...
Spring Office Hours Podcast: S5E14 - Spec Driven Development with Simon Martinelli
Join Dan Vega and DaShaun Carter for the latest updates from the Spring Ecosystem. In this episode, Dan and DaShaun are joined by Java Champion, Vaadin Champion, and Oracle ACE Pro Simon Martinelli to talk about Spec-Driven Development. With AI reshaping how we write code, Simon makes the case th...
Malicious code in nextjs-chat-with-ai-service (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 8ff3e52e4957291f626e1225ab3b81194c80cd8c6037f943298f6170f98dbe9b The package nextjs-chat-with-ai-service was found to contain malicious code. Source: ghsa-malware...