Latest coverage for Artificial Intelligence
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.
Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands?
Its Mythos Preview model, which can allegedly find and exploit critical zero-days, also comes with certain controls, the vendor said.
AI-Led Remediation Crisis Prompts HackerOne to Pause Bug Bounties
Discovery used to be the bottleneck for open source bugs, but with automated discovery, remediation's the bottleneck, which bounties don't fund.
Grafana Patches AI Bug That Could Have Leaked User Data
By hiding malicious instructions on an attacker-controlled Web page, AI could ingest orders that appear benign but return sensitive data to the attacker's server.
RSAC 2026: How AI Is Reshaping Cybersecurity Faster Than Ever
Dark Reading's Kelly Jackson Higgins shares insights on the past, present, and future of cybersecurity after attending RSAC 2026 Conference.
Human vs. AI: Debates Shape RSAC 2026 Cybersecurity Trends
As AI dominated RSAC 2026, CISOs and industry leaders debated its role in security, from agentic applications to the challenges of scaling human involvement in decision-making.
Focusing on the People in Cybersecurity at RSAC 2026 Conference
AI dominated RSAC 2026 Conference, but it's still the humans in cybersecurity who matter most.
AI-Assisted Supply Chain Attack Targets GitHub
PRT-scan is the second campaign in recent months where a threat actor appears to have leveraged AI for automated targeting of a widespread GitHub misconfiguration.
Shadow AI in Healthcare Is Here to Stay
Medical professionals are not going to stop using AI tools to manage growing workloads. Organizations should prioritize bolstering security protocols to limit their blast radius.
OWASP GenAI Security Project Gets Update, New Tools Matrix
In recognition of 21 generative AI risks, the standards group recommends that companies take separate but linked approaches to defending GenAI and agentic AI systems.