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.
The detection model identifies LLM patterns to counter the rising abuse of generative AI in social engineering attacks.
Thales will build new machine learning-powered data discovery and classification features based on Google Cloud's Vertex AI.
In today's fast-paced digital landscape, the widespread adoption of AI (Artificial Intelligence) tools is transforming the way organizations operate. From chatbots to generative AI models, these SaaS-based applications offer numerous benefits, from enhanced productivity to improved decision-making. Employees using AI tools experience the advantages of quick answers and accurate results, enabling
Virtual kidnapping is just one of many new artificial intelligence attack types that threat actors have begun deploying, as voice cloning emerges as a potent new imposter tool.
Microsoft announced today that an early preview of its AI-powered Windows Copilot personal assistant is rolling out to Insiders in the Windows 11 Dev Channel. [...]
We're still unprepared to fight the security bugs we already encounter, let alone new AI-borne issues.
Cyber threat intelligence is an effective weapon in the ongoing battle to protect digital assets and infrastructure - especially when combined with AI. But AI is only as good as the data feeding it. Access to unique, underground sources is key
Generative AI chatbots like ChatGPT are the buzziest of the buzzy right now, but the cyber community is starting to mature when it comes to assessing where it should fit into our lives.
The investment will allow enterprises to further secure non-human identities and safely leverage the soaring adoption of third-party apps and Generative AI services.
Survey also uncovers 63% of respondents distrust ChatGPT while 51% question AI's ability to improve Internet safety.
Developers' enthusiasm for ChatGPT and other LLM tools leaves most organizations largely unprepared to defend against the vulnerabilities that the nascent technology creates.
New LLM-based projects typically become successful in a short period of time, but the security posture of these generative AI projects are very low, making them extremely unsafe to use.
Cequence’s latest updates to the Unified API Protection platform help organizations reduce the time needed to create API security testing plans.
Why the future of cyber security could be fully autonomous where the AI works independently Sponsored Feature The cybersecurity sector, it is now routinely attested, is in the midst of a long-term skills crisis.…
Many cybersecurity vendors are integrating general-purpose large language models into their solutions. However, some experts argue that these are not the best AI algorithms for security
AI-generated code promises quicker fixes for vulnerabilities, but ultimately developers and security teams must balance competing interests.
Security and IT teams are routinely forced to adopt software before fully understanding the security risks. And AI tools are no exception
How protective AI is a powerful weapon in the fight against cyber attackers using AI for malicious acts. Webinar In the new age of generative AI, it would be foolhardy to imagine that bad actors won't already be exploiting every opportunity to launch an attack with their own malicious AI generated war machines.…