Our Approach to AI

We see AI becoming a key part of the Panaseer platform, and we're excited about the value it will bring to our customers.

After testing and validating with numerous customers, we’re preparing to release our first AI-powered capability. As part of that journey, we want to share a behind-the-scenes look at how we build AI at Panaseer.

Every AI feature we develop is grounded in strong governance. This allows us to innovate faster and with confidence. More importantly, it allows us to bring functionality to customers that has a meaningful impact, and they can trust.

Our AI Principles

Every AI capability we deliver is grounded in a clear, consistent set of principles. These AI principles are at the heart of our AI governance process and guide how we design, build, and release functionalities that are effective, responsible, and trustworthy. By sharing them, we aim to set clear expectations and foster trust and transparency.

We apply AI in our product only:

Where a clear, discernible, tangible, and justifiable benefit is identified

AI unlocks value that was previously out of reach. However, it’s not the right tool for every job. In a landscape full of hype, we stay focused on applications with specific benefits aligned to real customer needs. This approach ensures we apply AI in ways that have a genuine impact.

In a way that both complies with legal obligations and honors the trust customers place in us

We want our customers to feel confident making decisions, reporting, and taking actions using data in Panaseer, whether they're interacting with AI features or not.

While the AI regulatory landscape is taking shape, it’s still in its early stages and currently focuses on high-risk applications. We go beyond baseline requirements. We add safeguards, such as prohibiting the use of customer data to train third-party models, to ensure that data trust and privacy remain core commitments across our product.

As part of a strategic AI vision  

Rather than delivering disconnected features, we take a strategic approach. Every AI capability is aligned with our broader product vision and focused on delivering specific value for defined users.

With appropriate security measures and safeguards to minimise risk from security threats and AI pitfalls

Security and privacy are built into every stage of how we develop AI.

From conceptual discussions, we assess each feature through both security and responsible AI lenses. Features only move forward when we’re confident the right safeguards are in place, and like all other features, their development follows our standard Secure Software Development Lifecycle.

Where major changes or adjustments to AI models, techniques, or software undergo a complete review cycle

As with all our features, we expect AI functionality to evolve to remain relevant and valuable. When a significant change is proposed, we assess its impacts with core stakeholders and use that information to decide how to proceed.

To support this, we use model cards to document key qualities of each AI solution, including its intended use and underlying techniques, which are updated with each new version to clearly reflect any important changes.

Closing thoughts

Panaseer’s Continuous Controls Monitoring (CCM) enables cybersecurity teams to gain comprehensive visibility into their environments, prioritize risks, and make faster, more informed decisions by continuously assessing control effectiveness and risks.

Integrated with AI, CCM becomes even more powerful. Panaseer AI enhances data analysis by detecting subtle patterns, surfacing the root causes driving the highest-risk issues more quickly, and reducing noise, allowing security experts to focus their time and energy on critical problem-solving instead of sifting through overwhelming data.

Our AI principles underpin how we build these intelligent features. They help guide how we innovate, build trust, and form the foundation that allows us to unlock AI’s potential.