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.
Ivanti has issued an urgent security advisory for CVE-2025-22457, a critical vulnerability impacting Ivanti Connect…
A concerning malware campaign was disclosed by the AhnLab Security Intelligence Center (ASEC), revealing how…
EncryptHub, a rapidly evolving cybercriminal entity, has come under intense scrutiny following revelations of operational…
A sophisticated phishing campaign, dubbed "PoisonSeed," has been identified targeting customer relationship management (CRM) and…
A surge in phishing text messages claiming unpaid tolls has been linked to a massive…
The State Bar of Texas has confirmed a data breach following the detection of unauthorized…