GenAI usage is exploding across teams and tools, but most enterprises are still missing the controls to secure it. Security isn’t failing because there is a lack of policies. It’s failing because organizations aren’t using the right type of security controls to defend GenAI’s adaptive nature, which requires real time protection across distributed systems, often beyond IT’s line of sight.
CalypsoAI's latest version of the GenAI Policy Handbook calls this out—and offers a framework for fixing it. At its core is one big idea: policies must be enforceable at the point of AI interaction.
The Security Blind Spot: Inference
In most organizations, security has traditionally been built around access control, perimeter firewalls, and data loss prevention. But GenAI introduces a fundamentally different surface: inference.
It’s at this layer—where users interact with models, where data is ingested and returned, where outputs shape business outcomes—that the real risk lies, including:
- Prompt injections that bypass filters
- Hallucinated outputs that mislead decision-making
- Sensitive data leaking through model responses
- Autonomous agent actions that spiral without oversight
To put it simply: inference is where security needs to happen, yet few enterprises are equipped to defend it.
From Paper Policy to Runtime Protection
Many organizations have started drafting acceptable use policies. Some have developed playbooks or advisory guidelines. But policy without enforcement is just suggestion.
To close the gap between governance and real-world protection, organizations must adopt adaptive security controls at runtime that can:
- Block harmful prompts and responses in real-time
- Enforce role-based model access
- Detect anomalies and threat patterns as they emerge
- Dial security settings that are based on use case and risk tolerance
By having a defensive solution that meets the above, you can evolve your security posture alongside your models and use cases.
One AI Security Platform: A Must for Full Lifecycle Protection
True generative and agentic AI security demands an integrated approach that spans testing, defense, visibility, and policy alignment.
That’s why enterprises are turning to CalypsoAI’s Inference Security Platform:
- Inference Red-Team: Agentic adversarial testing to uncover vulnerabilities before attackers do
- Inference Defend: Real-time protection at the point of interaction
- Inference Observe: Role-based visibility into AI usage, risk, and compliance
Together, these capabilities form an Inference Perimeter that’s purpose-built for the most dynamic surface in cybersecurity.
Guidance for Inference Security
The latest version of CalypsoAI's GenAI Policy Handbook offers practical guidance for enterprise leaders on how to build policies that live at runtime, defend at inference, and adapt as models change.
- Why traditional controls fail against GenAI threats
- What security leaders can do today to prepare for agentic AI
- How to build a layered defense that scales with innovation
Your AI journey is just beginning. Make sure it's secure from the start.
