In the fast-paced world of software development, too often security takes a backseat to meeting strict deadlines and delivering new features. Discovering software has accrued substantial security debt that will take months to fix can rip up the schedules of even the best development teams. An AI-powered tool that assists developers in remediating flaws becomes an invaluable asset in this context.

More news about Artificial Intelligence (AI)? We know. It’s hard to avoid the chatter — and that’s for good reason. The rise of AI has many people excited for things to come. But many others are, quite understandably, concerned about the ethical implications of this powerful technology. Fortunately, the Biden Administration is working to address the concerns of the American people by governing the development and use of AI.

Last week, Michael Bargury and the team at Zenity published a video summarizing 6 vulnerabilities that are found in Microsoft Copilot Studio. The video highlights, in sequence, a myriad of ways that business users can create their own AI Copilots that are risky, why they are risky, and how they can be easily exploited. While I highly recommend checking out the video, this blog sets out to provide a look at why these vulnerabilities matter, and what considerations should be taken to mitigate them.

Amidst the ongoing surge in cyber threats, CISOs are encountering increasing challenges in their responsibilities. During a recent CISO Panel Discussion on Application Security hosted by our CEO, Ashish Tandan, CISOs Kiran Belsekar from Aegon Life and Manoj Srivastava from Future Generali expressed concerns about managing security postures and shared actionable strategies to tackle evolving threats.

Artificial Intelligence is revolutionizing everything and cybersecurity is no exception. A growing number of industry experts and professionals are beginning to reflect on the benefits and risks of this innovative technology within the cybersecurity framework. AI can be used to enhance protection for businesses against threats but, on the flip side, it can also be applied to refine cybercriminal attacks.

The recent SURGe in popularity of generative artificial intelligence tools has raised many questions around potential use cases in cybersecurity, both from an offensive and defensive point of view. Will chat-based AI-assistants provide more utility to attackers, or defenders?

The rapid rise of artificial intelligence, more specifically, generative AI systems such as OpenAI’s ChatGPT, has simultaneously spurred intense development and concern over the past year. On the 30th of October, President Joe Biden signed an Executive Order that urges new federal standards for AI development, safety, security, and trustworthiness that also address many other facets of AI risk.

As the holiday season comes into full swing, it’s estimated that cyberattacks go up by as much as 30% during this period. To help increase cyber resilience—and stay vigilant well into the new year—SecurityScorecard is sharing some of our key AI predictions for 2024 based on the trends we’ve observed this past year.

Nightfall AI is excited to announce a new generation of detectors powered by generative AI (GenAI). Read on to learn more about recent advancements in our PII, PHI, secrets, and images detectors—as well as how they stack up against competitors like AWS Comprehend, Google DLP, and Microsoft Purview.