As the world becomes increasingly digital, cyber-attacks are becoming more sophisticated, and traditional security measures, like firewalls and passwords, are no longer sufficient in protecting sensitive data. This raises a critical question: how can organizations identify hidden threats lurking within their networks?
The financial repercussions of data breaches have soared, with organizations facing an average loss of $4.45 million per incident in 2023. However, beyond only financial implications, organizations that suffer a data breach face other severe consequences, including legal ramifications, productivity halts, and often worse, reputational damage amongst their clientele.
An ad-hoc query is an unscheduled data inquiry, typically created in response to questions that cannot be addressed using predetermined or predefined datasets. Ad hoc distributed queries utilize the OPENROWSET(Transact-SQL) and OPENDATASOURCE(Transact-SQL) functions for establishing connections with remote data sources employing OLE DB. It’s advisable to employ OPENROWSET and OPENDATASOURCE solely for referencing OLE DB data sources that are accessed on an occasional basis.
In the 50th episode of the Trust Issues podcast, host David Puner interviews Justin Hutchens, an innovation principal at Trace3 and co-host of the Cyber Cognition podcast (along with CyberArk’s resident Technical Evangelist, White Hat Hacker and Transhuman Len Noe). They discuss the emergence and potential misuse of generative AI, especially natural language processing, for social engineering and adversarial hacking.
In a landmark development, the U.S. Department of Homeland Security (DHS) has unveiled its pioneering Artificial Intelligence Roadmap, marking a significant stride towards incorporating generative AI models into federal agencies' operations. Under the leadership of Secretary Alejandro N. Mayorkas and Chief Information Officer Eric Hysen, DHS aims to harness AI technologies to bolster national security while safeguarding individual privacy and civil liberties.
A guest post by James Berthoty the founder of Latio Tech. The shift to cloud has meant an explosion in cloud security-related acronyms – so many that it can be difficult to know what you currently have versus what’s missing or available. First we bought CSPMs (Cloud Security Posture Management), then CWPPs (Cloud Workload Protection Platforms), then CNAPPs (Cloud Native Application Protection Platform), then CDRs (Cloud Detection Response), and now KDRs (Kubernetes Detection Response).
Cyberthreats are escalating and SOC budgets are tightening. It’s a recipe for disaster, that is, unless you take advantage of new technologies that keep both in check. The fact is, businesses are now spending nearly a third of their cybersecurity budget towards running an in-house SOC, averaging out to $2.86 million per year, according to Ponemon.
Ever lost sleep over possible hidden attack routes lurking in your organization’s attack surface? You’re not alone. The concept of ‘unknown-unknowns’ is a recurring nightmare for many IT professionals – but there are ways to mitigate the risks. We’ll explore the problem of unknown-unknowns and provide some practical strategies to help your organization uncover these hidden threats.
Cybersecurity has always been a complex field. Its adversarial nature means the margins between failure and success are much finer than in other sectors. As technology evolves, those margins get even finer, with attackers and defenders scrambling to exploit them and gain a competitive edge. This is especially true for AI.