Research examines attack methods, defenses, and vulnerabilities, helping security teams understand risks and improve protection.
Search across headline titles and summaries.
Background for this topic.
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.
Strong Data Foundations Give AI Leaders an Edge in Quantum SecurityCompanies leading in AI security are also better prepared for quantum threats. New Thales research shows that data visibility, governance, encryption and crypto agility are helping CIOs build stronger foundations for both AI adoption and post-quantum readiness.
Security Teams Save Time on Tasks but Spend More Time Checking AI's WorkAI is reshaping cybersecurity work but not eliminating the need for human judgment. New ISC2 research finds security teams are spending more time validating AI outputs, facing accountability for AI errors and rethinking skill sets for entry-level talent.
Nii Osae of Mindbeam AI Describes Project to Identify Promising New TreatmentsArtificial intelligence promises to reshape drug discovery, including by helping to identify safer options to common medications in a fraction of the time. Nii Osae, founder and CEO of Mindbeam AI, describes how AI models produced promising insights into pain-relief drug research at his firm.
Measure Would Create Federal AI Coordinator, Expand Data Interoperability EffortsA bipartisan House bill would create a federal coordinator to accelerate the use of artificial intelligence, standardized health data and interoperable research platforms in an effort to speed pediatric cancer research, improve clinical trial design and expand treatment options for children.