Focus Area: Large Language Models

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Preparing For Cybersecurity In The AI-Quantum World

Michelle Drolet

With the rapid adoption of AI and with quantum threats on the horizon, the security team’s reaction window is compressing fast. AI is not only accelerating attacks but also making these easier to scale. Quantum computing is forcing leaders to question whether today’s cryptographic protections will be enough in a quantum world. It is therefore important to understand

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5 Minute 5 Second Read

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Rethinking Security For AI Systems

Michelle Drolet

Cybersecurity has generally kept pace with the growing sophistication of threats. It has evolved from firewall and antivirus to next-gen firewalls, comprehensive endpoint security suites and intelligence-driven approaches such as EDR, XDR and MDR—solutions based on the assumption that systems behave predictably and that risks can be mapped, monitored and mitigated within specific guardrails. But even

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4 Minute 19 Second Read

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A 5-step approach to taming shadow AI

Greg Neville

Lacking formal AI risk frameworks allows shadow AI to proliferate unchecked, but a structured approach to governance can prevent dangerous blind spots. AI is being leveraged across organizations to boost productivity, accelerate innovation and optimize business processes. The problem is that adoption has outpaced discipline. Only a minority (23.8%) of organizations have formal AI risk

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6 Minute 1 Second Read

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10 Ways Cybercriminals Can Abuse Large Language Models

Michelle Drolet

Large language models (LLMs) like ChatGPT and Google Bard have taken the world by storm. While these generative AI programs are incredibly versatile and can be implemented in a wide range of productive business use cases for the good, there is also a potential downside for LLMs to empower threat actors, adversaries and cybercriminals with

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4 Minute 30 Second Read

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10 Things I know about … ChatGPT risks

Michelle Drolet

10. Benefits & risks. Like most tools, large language models (like ChatGPT & Google Bard) can be used for good or ill purposes. Positives: generate creative content, translate languages, and debug software. Negatives: They can be used to damage reputations, spread misinformation, code malware, and conduct cyberattacks. 9. Phishing at scale. LLMs can be used

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1 Minute 36 Second Read