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Deceptive prompts lure AI agents into decoys and dead ends, cutting attack success by up to 91% in tests and raising the cost of...
Researchers warn that a flaw in Anthropic’s Model Context Protocol allows unsanitized commands to execute silently, enabling full system compromise across widely used AI...
CISOs face a shrinking window to prepare as AI models like Mythos collapse the gap between vulnerability discovery and exploitation, driving a new era...
The AI giant is taking action after determining that a macOS code signing certificate may have been compromised.
RSAC researchers hacked Apple Intelligence using the Neural Exect method and Unicode manipulation.
From hallucinations and bias to model collapse and adversarial abuse, today’s AI is built on probability rather than truth, yet enterprises are deploying it...
Dozens of such keys can be extracted from apps’ decompiled code to gain access to all Gemini endpoints.
New AI model drives Project Glasswing, a effort to secure critical software before advanced capabilities fall into the wrong hands.
The cybersecurity response to AI-enabled nation-state threats cannot be incremental. It must be architectural.
The startup has created a layered security solution aiming to secure AI agents throughout their entire lifecycle.
The improper validation of user-supplied JavaScript code allows attackers to execute arbitrary code and access the file system.
By targeting Grafana’s AI components, attackers can point to external resources and inject indirect prompts to bypass safeguards.
A vulnerability named ‘AI Agent Traps’ allows attackers to manipulate, deceive, and exploit visiting agents via malicious web content.
Within days of each other, Anthropic first leaked the source code to Claude Code, and then a critical vulnerability was found by Adversa AI.
The startup will expand its AI research team, train additional security models, and scale enterprise adoption.
Join the webcast as we explore what Agentic AI can and cannot solve today, and real world breach scenarios linked to disconnected applications.
Palo Alto Networks has disclosed the details of its analysis of Google Cloud Platform’s Vertex AI.
Attackers can exploit the bugs through prompt injection, chaining them together to escape the sandbox and execute arbitrary code.
Researchers found an OpenAI Codex vulnerability that could have been exploited to compromise GitHub tokens.
LLMs can write complex Rego and Cedar code in seconds, but a single missing condition or hallucinated attribute can quietly dismantle your organization’s least-privilege...
Through the new program, OpenAI will reward reports covering design or implementation issues leading to material harm.