Artificial Intelligence and Cybersecurity

There's growing interest in generative AI Isolation and comparable technologies to keep confidential data out of ChatGPT, Bard and other gen AI sites

Sophos X-Ops’ exploration of cybercrime forums suggests many threat actors are still skeptical – and wrestling with the same issues and problems as the rest

Avoiding generative AI security tools due to fear, uncertainty and doubt may be more of a risk than diving headlong into the conversation.

Chatbots like OpenAI’s ChatGPT and Google’s Bard are vulnerable to indirect prompt injection attacks. Security researchers say the holes can be plugged—sort of.

The obsession with all-things generative AI signals a need for business leaders to rethink their security approaches.

Five ways new generative AI tools for crafting malicious cyberattacks will start to define the future of cybersecurity.

Artificial intelligence tools are helping companies improve cybersecurity, but hackers launching ransomware and phishing attacks have the same weapons.

ChatGPT and generative AI are already helping strengthen zero trust cybersecurity. Here are 10 ways it's doing so now or will soon.

Security researchers are jailbreaking large language models to get around safety rules. Things could get much worse.

Why we must act now so that security professionals can develop strategies and react as large-scale issues arise with the evolution of AI.

New technologies always change the security landscape, but few are likely to have the transformative power of generative AI. As platforms like ChatGPT continue to catch on, CISOs need to understand the unprecedented cybersecurity risks they bring—and what to do about them..

Large language models are full of security vulnerabilities, yet they’re being embedded into tech products on a vast scale.

Unrestrained by ethics or law, cybercriminals are racing to use AI to find innovative new hacks, says Recorded Future CEO Christopher Ahlberg.

Organizations must consider the security implications of using ChatGPT, as well as large language model (LLM) and LLM-based apps.

Breakthroughs in technologies built on large language models will accelerate the arms race between hackers and companies.

Hackers have their own version of ChatGPT: a chatbot that can help with malware and phishing called FraudGPT. Here's everything you need to know.

The outcry over Zoom's tweak to its data policy shows how the race to build more powerful AI models creates new pressure to source training data—including by juicing it from users.

For CISOs and their teams to win the war against AI attacks and threats, gen AI-based apps, tools and platforms must become part of their arsenals.

Cybercriminals are touting large language models that could help them with phishing or creating malware. But the AI chatbots could just be their own kind of scam.

Artificial Intelligence (AI) has significantly impacted various aspects of life, including fraud. Cybercriminals now employ AI to develop sophisticated and automated digital attacks that circumvent traditional security measures, including credential-stuffing, personalized spear-phishing attacks, and social engineering.

Organizations need guardrails in place for AI tool data governance, specifically for their SaaS environments. This requires comprehensive SaaS security tooling and proactive cross-functional diplomacy.

Generative AI can enhance digital security, but it can’t — and shouldn’t — replace humans that are essential to fight malicious hackers.

While potentially valuable for augmented coding, the fast-evolving technology has also seen extensive use by threat actors.

Generative AI chatbots and large language models can be a double-edged swords from a risk perspective, but with proper use they can also improve cybersecurity in key ways

Even without the hype that's billowed around ChatGPT and generative AI's skyrocketing popularity, AI risk has started to unfold as a growing concern among security researchers and pundits in 2023.