Sevii Launches Cyber Swarm Defense to Make Agentic AI Security Costs Predictable
Agentic AI can be expensive to use, causing further and unpredictable pressure on tight budgets. The post Sevii Launches Cyber Swarm Defense to Make Agentic AI Security Costs Predictable appeared first on SecurityWeek.
Predictable budgets and on-demand defensive agentic AI are normally incompatible but can now be aligned.
CISOs are facing a major and self-perpetuating problem. Economic business pressures lead to insufficient security budgets, resulting in smaller than optimum security teams. This lower headcount causes an increased reliance on security automation for efficiency. That automation will inevitably and increasingly include the use of agentic AI. But agentic AI can be expensive to use, causing further and unpredictable pressure on the tight budget that is the original problem.
The only solution is very tight control over expenditure – but the autonomous nature of defensive agentic AI, and the increasing number of attacks made possible through improving frontier AI models (currently typified by Claude Mythos) makes this impossible to predict. The CISO’s defensive use of AI is charged by the number of input and output AI tokens used in the process (a token is similar but not exactly the same as a word) – but when attacked by multiple adversaries simultaneously, the CISO is required to unleash the full unrestricted capabilities of in-house agentic defense, resulting in an unpredictable demand on AI tokens.
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