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.
iPhone Maker Introduced Feature Without Explicit ConsentApple's artificial intelligence-led photo analyzer is raising privacy concerns months after the company appears to have enabled the feature by default. It uses a combination of on-device machine learning and encrypted cloud-based processing.
Flaw Bypasses Clickjacking Defenses, Enables Account TakeoversHackers are exploiting the split-second delay between two mouse clicks to carry out sophisticated clickjacking attacks, tricking victims into authorizing transactions or granting access they never intended. "DoubleClickjacking" manipulates users into granting OAuth and API permissions
Experts on Ransomware, Deepfakes, AI Innovation and Cyber Defense the in Year AheadCrippling ransomware attacks, IT outages and relentless nation-state operations dominated headlines in 2024. Will 2025 bring even more disruption? Our panel of cybersecurity leaders, analysts and educators share their outlook for the top 10 trends to watch in the new year.
As healthcare entities embrace generative AI tools, it's critical they take a holistic approach addressing privacy and security governance, said Dave Perry, digital workspace operations manager, St. Joseph's Healthcare in Ontario, who discusses how his organization is tackling those challenges.
Opponents Say Restructuring Will Undermine OpenAI's Security CommitmentsOpenAI's attempt to convert to a for-profit company is facing opposition from competitors and artificial intelligence safety activists, who argue that the transition would "undermine" the tech giant's commitment to secure AI development and deployment.
2025 Is Likely to See Balanced Approach to AI Across IndustriesThe AI landscape is set to transform in 2025 with pragmatic approaches to implementation replacing the experimental fervor. This shift will span industries and developer ecosystems. Technologies will ride on the transformative power of AI and the responsibility that comes with it.