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30 Apr 2025

What Are the First Principles of AI Security?

What Are the First Principles of AI Security?

What Are the First Principles of AI Security?

By Anthony Candeias, CISO, Professor, Advisor

As a CISO, one of our many unofficial job responsibilities is to expect the unexpected. Every business is looking to adopt new innovative tools to give the company a competitive edge, and now that the commoditization of generative AI has been lit on fire, the CISO's job is much harder. 

OpenAI, Claude, and Google continue to improve their models, add new features, functions, and capabilities. This has a long-tail impact on the enterprise of how the models are implemented into each product or backend system. Each model release will need extensive testing not only from developers, quality assurance, but also from security.

Here are some challenges that I see with attempting to secure these AI models with the current security tech stack: 

  • Point-in-Time Problem: Pen tests capture a single moment in time, which doesn’t reflect AI’s constant model updates, data drift, and new attack vectors.
  • Rapid Obsolescence: Findings become outdated fast—what was secure last month may now be exposed, creating dangerous gaps between assessments.
  • Scalability & Coverage Limits: Manual testing can’t keep up with the scale, complexity, or pace of modern AI environments across varied deployments.
  • Lack of AI-Specific Tools: Traditional methods and scanners often miss AI-specific threats like prompt injections, data poisoning, or data distillation due to limited expertise and poor context awareness.

Now, as a security professional, the next question is, what is the best way to secure a new system that is essentially a moving target?

If we take a first principles approach to security, it boils down to test, detect, and defend. Create a test to simulate threat actor TTPs, observe and detect the TTPs, and lastly prevent the activity. CalypsoAI does just that. 

Here are the key platform features that make it stand out as a solution. 

  • Continuous Testing & Validation (Inference Red-Team): CalypsoAI automates continuous adversarial testing and stress testing to proactively uncover AI model vulnerabilities. 
  • Continuous Monitoring & Observability (Inference Observe): CalypsoAI delivers real-time visibility into AI operations, tracking model usage, detecting vulnerabilities and auditing activity.
  • Real-time Defense & Adaptive Guardrails (Inference Defend): Acting as a security gateway, CalypsoAI deploys customizable real-time scanners to detect and block threats like prompt injections, sensitive data leaks, and malicious content.

The CalypsoAI team has built a holistic platform to provide the security team the tools and insights necessary to succeed in securing AI.

To learn more about our Inference Platform arrange a callback.

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