A large language model (LLM) is a deep learning AI model or system that understands, generates, and predicts text-based content, often associated with generative AI.
In the current technological landscape, we have robust and known models like:-
Cybersecurity analysts at the National Cyber Security Centre (NCSC) have recently unveiled and warned of specific vulnerabilities in AI systems or models like ChatGPT or Google Bard, Meta’s LLaMA.
While LLMs have a role, don’t forget cybersecurity basics for ML projects. Here below, we have mentioned the specific vulnerabilities in AI models about which the researchers at NCSC warned:-
Detecting and countering prompt injection and data poisoning is tough. System-wide security design, like layering rules over the ML model, can mitigate risks and prevent destructive failures.
Extend cybersecurity basics to address ML-specific risks, including:-
Beyond LLMs, recent months revealed ML system vulnerabilities due to insufficient cybersecurity principles, such as:-
However, in a rapidly evolving AI landscape, maintaining strong cybersecurity practices is essentially important, regardless of ML presence.
Keep informed about the latest Cyber cybersecurity news by following us on Google News, Linkedin, Twitter, and Facebook.
Cisco has disclosed a significant vulnerability in its AnyConnect VPN Server for Meraki MX and Z Series…
Kaspersky Lab has uncovered a new version of the Triada Trojan, a sophisticated malware targeting…
A recent cyberattack campaign leveraging the DarkCloud stealer has been identified, targeting Spanish companies and…
Researchers from Bishop Fox have successfully exploited CVE-2024-53704, an authentication bypass vulnerability that affects SonicWall firewalls.…
Seashell Blizzard, also known as APT44, Sandworm, and Voodoo Bear, has emerged as a sophisticated…
EvilCorp, a sanctioned Russia-based cybercriminal enterprise, has been observed collaborating with RansomHub, one of the…