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Research examines attack methods, defenses, and vulnerabilities, helping security teams understand risks and improve protection.

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Research is the systematic study of technologies, systems, attack methods, vulnerabilities, and defensive techniques to establish evidence and produce new findings. In information security, it includes work such as discovering flaws in software or protocols, analyzing malware and attacker behavior, testing cryptographic designs, and evaluating security controls. News under this tag may describe a proof of concept, a measurement study, or a proposed technique rather than a confirmed real-world attack.

For practitioners, research can change how risks are prioritized and mitigated. A demonstrated vulnerability may require vulnerability-management teams to verify affected assets, apply fixes, or add compensating controls; responsible disclosure gives developers time to assess and remediate before technical details enable exploitation. Research involving live systems, personal data, or offensive tooling also raises privacy, authorization, dual-use, and ethical concerns. Sound findings should state their assumptions, scope, limitations, and reproducibility, since laboratory results do not automatically show that an attack is practical in every environment.

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Researchers Say Nation-State Actors Are Evolving Persistence TechniquesAn apparent Chinese nation-state hacking group gussied up its tooling with new modular functionality, say security researchers who observed a cyberespionage campaign affecting Asia-Pacific governments. The activity resembles attack patterns of the threat actor tracked as Mustang Panda

Economist Enterprise Research Reveals the Gap Between AI Optimism and Real ReturnsFour out of five executives say their AI programs are beating expectations, but fewer than half track whether that's true. New Economist Enterprise research exposes where enterprise AI efforts stall and what separates firms generating real returns from those still in pilots.

Proposed Bill Could Reopen Debate Over Computer Misuse Act ProtectionsThe British government has announced plans to update cybersecurity legislation aimed at strengthening the country's digital defenses - while overhauling outdated cybercrime authorities that officials and security researchers warn are no longer fit for modern threats

Two independent studies found that Anthropic's Claude Mythos Preview and OpenAI's GPT-5.5 have outpaced every trend line researchers were tracking. No one is sure if this is a one-time leap or the new normal. The post Researchers say AI just broke every benchmark for autonomous cyber capability appeared first on CyberScoop.

Our research examines the April 22 Checkmarx KICS and April 24 elementary-data incidents as part of a broader TeamPCP supply chain campaign. Across both cases, the actor abused trusted CI/CD and release workflows to steal credentials at scale.

What if you could generate realistic attack telemetry on demand? Explore research methods that translate attacker behaviors (TTPs) into synthetic logs that can trigger detections at scale and without sensitive data. The post Accelerating detection engineering using AI-assisted synthetic attack logs generation appeared first on Microsoft Security Blog.

The high volume of vulnerabilities reflects a growing trend researchers have been anticipating as artificial intelligence models are deployed to find previously uncovered defects in code. The post Microsoft addresses 137 vulnerabilities in May’s Patch Tuesday, including 13 rated critical appeared first on CyberScoop.

Bank Info Security 2 months ago

AI-Built Zero-Day Nearly Powered Mass Attack

Google Says Criminals Used AI to Discover and Code ExploitA cybercriminal group came close to launching a mass attack earlier this year, armed with a software exploit that an AI model had built from scratch, said Google researchers. Google said it worked with the affected vendor to patch the flaw before an attack could be launched.

System Translates Detection Rules Across Security PlatformsResearchers developed an AI framework that converts threat detection rules between major SIEM platforms including Splunk, Microsoft Sentinel and QRadar. The system uses LLMs and automated validation steps to preserve detection logic during migrations that often require months of manual work.

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