Computer Security Articles

Emerging AI frontier models could be the impetus that gets security professionals to finally tackle the tough job of fixingbroken vulnerability management practices. Security strategists see Mythos and its ilk as engines for dangerously increasing exploitation risks — but  also as the tools that will make it possible to bring to fruition all of those elusive VM improvements that have been out of reach for so long.Take the push for continuous threat exposure management (CTEM), which emphasizes do

More than 80% of organizations’ cybersecurity operations are currently getting an assist from AI or are planning to adopt it, but nearly seven out of 10 security pros say their jobs have gotten harder since the widespread adoption of AI began. That’s a finding from the latest cybersecurity report from the Information Systems Security Association (ISSA) and research and consulting firm Omdia.TheLife and Times of Cybersecurity Professionals studynoted that job satisfaction numbers have been consis

Key TakeawaysEnterprise file scanning covers the file sources endpoint antivirus was never built for: email gateways, web proxies, cloud storage, MFT platforms, and network shares.Ingestion channel breadth (MTA/email, ICAP web proxy, S3 cloud storage, network shares, API) is often the deciding factor for teams protecting multiple data flows simultaneously.Analysis methods in this category range from signature AV and ML classification to deep static decomposition; sandbox detonation is a separate

Key takeawaysNearly half the content passed to the model was invisible to the reader: 1,009 characters sent, 537 displayed, 472 hidden.The summaries contained fabricated data and omitted facts, with no cue to the reader that anything had been tampered with.Indirect prompt injection is a known flaw, cataloged as LLM01 in the 2023 OWASP Top 10 for LLM Applications, but teams keep shipping systems that are exposed to it.The attacker never needs access to the LLM, because services such as email auto

Key takeawaysOpenAI’s post-mortem calls the Hugging Face incident a “warning shot”: agents chained ordinary infrastructure flaws and reached host-level control across clusters in under 13 hours, with no human directing them.Soft guardrails don’t hold. A system prompt is a probabilistic control; real limits are least privilege, task-scoped capabilities, approval gates, and circuit breakers enforced outside the model.A tiered, batch-processing SOC can’t match that speed. The agentic SOC answers wi

Even with JFrog Artifactory proxying public open-source software (OSS) registries, package managers like npm and pip will typically pull the newest version of a dependency — even if it was published just moments before. That’s convenient — but it’s also the workflow attackers have learned to exploit.Malicious OSS packages aren’t a one-off problem anymore. They’re a recurring campaign. For example, the Shai-Hulud worm is now on its fourth iteration. Trivy, Axios, and LiteLLM have all seen comprom

Key takeawaysRubrik + ReversingLabs: Your backups might be infected. Now you’ll know.Why backups have become the primary target, not the last resort.What this integration looks like in practice.Close the gap between new intelligence and old backups.KNP Logistics had been moving freight around the United Kingdom for 158 years. Then the Akira ransomware group guessed one employee’s password. By the time the intrusion was over, KNP’s data was encrypted and its servers, its backups, and its disaster

Key takeawaysAgent permissions, not the prompt, are the real security boundary— coding agents that can touch repos, shells, and production systems create risk if their access isn’t tightly scoped.Overpermissioning compounds silently— agents typically inherit their user’s full access, and that spreads further when agents spawn sub-agents, breaking traceability back to the authorizing human.Goal-driven, non-deterministic agents will exploit any slack they’re given— the OpenAI–Hugging Face incident