News and articles related to latest trends in Information security and more.
The AI security conversation has shifted from “Can LLMs be misused?” to “How reliably do they resist misuse under realistic pressure?” That’s the question SecureAI Research Group set out to probe with a new red‑team benchmark that evaluates security‑relevant failure modes in tool‑augmented large language models. In a comparative study of GPT‑5 and Claude 4.5,…
Large language models are now embedded in customer support flows, developer tools, document automation, and autonomous agents. That power comes with a growing attack surface—especially prompt injection, where malicious instructions are smuggled into user input, retrieved documents, or tool outputs to hijack model behavior. SecureAI Research Group’s new benchmark, PromptShieldBench, arrives at exactly the right…
OpenAI has published a dataset card and evaluation report detailing the alignment benchmarks used to assess GPT-5’s behavior on safety-critical dimensions. For AI and security leaders, the significance is straightforward: you’re getting a deeper window into how one of the most capable models is tested against harmful content, privacy, and misuse risks—and where it still…
Attack chains are getting faster. Identity is the new perimeter. And with AI-infused tooling on both sides, the distance between reconnaissance and ransomware can now be measured in minutes, not days. Cybersecurity trends in 2026 aren’t just incremental shifts—they’re architectural. Security teams that thrived on perimeter controls and static playbooks are being outpaced by automation,…
AI has moved from peripheral tool to primary actor in security operations—and in cybercrime. By 2026, the winners will be the organizations that operationalize AI safely, harden identity and trust systems, and modernize detection and response for machine-speed threats. This forward look synthesizes what practitioners are already seeing and what’s next: the rise of AI-generated…
The center of gravity in cyber risk has shifted. AI threats are no longer a speculative add-on to existing attack patterns—they’re actively reshaping how adversaries target identity, trust, and access inside enterprises. Security and risk leaders who planned for “more of the same phishing” are discovering a different reality: tailored social engineering with cloned voices,…
Security teams are staring at a beaker mid-boil. In 2026, the accelerating mix of cloud-first architectures, remote work, and production AI will render yesterday’s network boundaries mostly symbolic. Attackers won’t politely knock on a firewall anymore—they’ll clone your CFO’s voice in real time, hijack a SaaS token, or subvert a misconfigured machine identity to walk…
Two storylines collided this week that matter for every IT and security leader: a reported cyberattack disrupting the Canvas learning platform during peak exam season, and Google expanding source links in its AI-generated answers to counter misinformation. One shows how fragile high-stakes digital infrastructure can be in education. The other signals how platform providers are…
Software infrastructure has never been cheaper—or trickier to run well. A wave of AI-driven automation and open-source components is compressing the cost of building systems that once required pricey SaaS dashboards, managed data pipelines, and large DevOps teams. ZioBuddaLabs, an Italian tech collective, recently spotlighted toolchains that replicate much of TradingView Pro’s experience and other…
The center of gravity in AI is shifting. Performance still matters—but “how safe is your frontier model?” is now a public, competitive narrative. A bulletin‑board roundup this week spotlighted exactly that: pointed rhetoric between AI lab leaders, new evaluation results that suggest parity across vendors, and rising calls for independent testing. The subtext is unambiguous:…
