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.
Cybersecurity researchers have disclosed a critical flaw impacting Salesforce Agentforce, a platform for building artificial intelligence (AI) agents, that could allow attackers to potentially exfiltrate sensitive data from its customer relationship management (CRM) tool by means of an indirect prompt injection
Cybersecurity researchers have disclosed two security flaws in Wondershare RepairIt that exposed private user data and potentially exposed the system to artificial intelligence (AI) model tampering and supply chain risks
Big companies are getting smaller, and their CEOs want everyone to know it. Wells Fargo has cut its workforce by 23% over five years, Bank of America has shed 88,000 employees since 2010, and Verizon's CEO recently boasted that headcount is "going down all the time." What was once a sign of corporate distress has become a badge of honor, with executives celebrating lean operations and AI-driven
The security landscape now moves at a pace no patch cycle can match. Attackers aren’t waiting for quarterly updates or monthly fixes—they adapt within hours, blending fresh techniques with old, forgotten flaws to create new openings. A vulnerability closed yesterday can become the blueprint for tomorrow’s breach
We hear this a lot: “We’ve got hundreds of service accounts and AI agents running in the background. We didn’t create most of them. We don’t know who owns them. How are we supposed to secure them?” Every enterprise today runs on more than users. Behind the scenes, thousands of non-human identities, from service accounts to API tokens to AI agents, access systems, move data, and execute tasks