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.
Where are you? What are you working on? Why are you doing that? Identity access and management platform Okta announced the general availability of its Okta for AI Agents, which will give customers the ability to do three things: locate agents, see what they’re doing, and shut them down if need be.…
Big Tech donates $12.5 million to get things rolling Half a dozen Big Tech players have together delivered $12.5 million in grants towards a project that aims to help maintainers of open source projects to cope with AI slop bug reports.…
Sell your soul to the orb Sam Altman has cooked up a plan to make his cryptocurrency/identity/eyeball-scanning-orb venture more useful by – you guessed it – adding agentic AI to the mix. Now the technology behind it will be used to identify the human behind bots.…
Admins may be even more exhausted by then, because securing Microsoft’s AI helper is not a trivial job Gartner analyst Dennis Xu has half-jokingly suggested banning use of Microsoft’s Copilot AI on Friday afternoons, because he fears at that time of week users may be too lazy to properly check its possibly offensive output.…
AI helped send weekly threat signal count from 80 million to 400 billion, then helped response time shrink from two days to 30 minutes Australia’s Commonwealth Bank built its own agentic AI threat hunting tools, because vendors are too slow to develop tools that can cope with emerging AI-powered threats, according to General Manager of Cyber Defence Operations Andrew Pade.…
Interpol says fraud schemes using the tech are 4.5x more profitable AI is apparently good for the bottom line if your business is crime. Financial fraud schemes carried out with the help of artificial intelligence are 4.5 times more profitable than those that aren't enhanced, according to Interpol's latest estimates.…
PLUS: Citrix CISO urges patch blitz; Mandiant founder reveals AI red-teaming tech; Bitter privacy news for Starbucks; And more Infosec In Brief Canadian outsourcer Telus Digital has admitted it fell victim to a cyberattack.…