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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Background for this topic.
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.
Lloyds Banking Group shared its approach for securing agentic AI workflows, with a mix of hands on experimentation and cross functional governance
The OWASP agentic AI security framework helps organizations assess governance maturity vs adoption and adjust governance as needed
Ox Security field CTO, Boaz Barzel, makes the case for vibe security to tackle AI agent coding risks
Microsoft Detection and Response Team (DART) details how it has uncovered malicious AI applications as cyber criminals manipulate organizations adopting AI tools
A Bugcrowd researcher has unveiled ExploitBench, an independent benchmark of AI models for vulnerability exploitation
Inaugural Infosecurity Europe Cyber Startup Award Winner Impresses Panel with Ability Help Prioritize Vulnerabilities in AI era
Trump's executive order invites voluntary pre-release review of frontier AI models
Anthropic widens Project Glasswing access to 150 more firms as patching becomes the bottleneck
The emergence of AI models capable to autonomously find and fix vulnerabilities at scale is having a significant impact on patching management, experts say
Halcyon’s Cynthia Kaiser lifts the lid on the dark web market for AI cybercrime tools
Humans still need to be part of cyber defense, but refusing to deploy AI is no longer optional against AI-enhanced cyber threats, warns Dataminr’s Joe Slowik
Bayer’s security awareness training now focuses on psychological approaches rather than technical methods for detecting social engineering
A threat actor used AI coding tools to build and test EDR evasion malware, Sophos finds
UK organizations are prioritizing AI-driven cybersecurity as 43% cite AI-powered attacks as their top risk, prompting significant investment in advanced threat defense
Top cybersecurity vendors said AI won't replace entry-level – only routine ticket-taking and triage
Push Security says threat actors are delivering malware hosted on chatgpt.com/s/ domain
OWASP’s new Agentic Research Council will aim to connect academic work to operational realities on agentic AI security