Security that evolves with AI AI applications introduce an array of new risks through the way they process inputs, generate responses and interact with users.“ Organisations need protection that can understand these interactions,” notes Richard.
As companies embed AI into their workflows, the scope of the security systems used to contain AI risks also needs updating.
Richard continues:“ At Akamai, we’ re evolving our architecture to address these challenges, including through solutions like Firewall for AI, which helps identify and mitigate risks such as prompt injection, sensitive data leakage and AI-specific denial-of-service attacks across AI applications.
“ This and other innovations enable businesses to adopt AI while maintaining the security and governance needed to scale it responsibly.”
The need for security in this space is, therefore, two-fold: secure-bydesign architecture that keeps intruders away from internal AI deployment and AI-powered defence against external AI threats. Akamai, like many others, is betting on risk-aware security frameworks and AI-powered tools to stay resilient and operate in the face of incoming, novel AI threats.
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