Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to Prevent AI Data Leakage

Artificial intelligence tools have completely revolutionized the way we work, boosting productivity to heights we couldn’t have imagined just a few years ago. But the upside comes with a high-stakes catch: every time an employee pastes proprietary code, financial records, or sensitive customer data into a public AI prompt, your company is at risk. As Shadow AI adoption skyrockets, implementing robust data leakage prevention is no longer an IT checklist item — it’s a business imperative.

BlueVoyant AI: Our Shared Security Roadmap

Today, we’re launching BlueVoyant AI. In my first months as CEO, I’ve had the chance to meet with many of you. What struck me most is the scope and importance of what you’re protecting, and how seriously you carry that responsibility. What also came through clearly is that your vision for the future of security aligns with ours.

A10 AI Firewall Demo: Stop Prompt Injection and Secure LLM Apps in Real Time

In this demo, see how A10 AI Firewall makes it easy to protect AI applications from prompt injection and other emerging threats. A10 AI Firewall inspects and enforces policies in real time — blocking unsafe prompts while allowing legitimate requests to continue uninterrupted. Explore the intuitive UI for visibility into AI transactions, threat detection, and policy decisions and reasonings.

How MSPs should evaluate AI security

AI is already incorporated into most of your clients’ workflows. Employees are using chatbots and other built-in GenAI tools to draft emails, analyze data and automate work. The challenge? Much of that activity is happening outside your formal security controls, and that creates a new risk layer. For managed service providers (MSPs), the question is no longer whether to secure AI adoption for their clients, but how to evaluate the right AI security solution.

Securing the AI era: Outpace AI-powered attacks with unified security and observability

Security teams are dealing with a fundamentally different operating environment than they were a few years ago. AI-assisted development is rapidly pushing more code and infrastructure into production, and according to Datadog’s 2026 State of DevSecOps report, 40% of running services have an exploitable vulnerability.

How AI Is Changing Both Cyberattacks and Cyber Defense

Artificial intelligence is changing cybersecurity because it gives both attackers and defenders more speed, scale, and flexibility. Attackers can use AI to write better messages, test code, scan targets, and move through stolen data faster. Security teams can use similar technology to detect odd behavior, sort alerts, and respond before a small incident becomes a serious breach. The biggest shift is not that AI replaces every hacker or every analyst. Work that once required hours, special training, or a larger team can now be assisted by software.
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The Control Paradox: Why Regulated Industries Must Rethink AI in Security Operations

For decades, highly regulated sectors have taken a cautious approach to cybersecurity, and for organisations in industries such as banking and finance, healthcare, insurance and critical national infrastructure, the instinct has been to retain ownership of security operations. That model is now under strain. Escalating cyber threats, regulatory scrutiny, and a growing skills shortage are exposing the limits of traditional Security Operations Centres (SOCs). At the same time, AI-driven technologies are maturing rapidly and forcing a strategic rethink.

Claude Opus 4.8: Can It Finally Write Secure Code?

We put Anthropic’s new Claude Opus 4.8 to the test using our standard benchmark: building a secure, production-ready Notes app. Anthropic claims this model is four times less likely to let security flaws slip through. Operating on "Ultra Code" mode, the AI navigates environment blocks, writes its own E2E security test suite, and runs dependency audits. We walkthrough the final app and run a security scan using the Snyk CLI to see if Claude's code is truly safe to deploy.

What is AI Policy Enforcement and How Do You Implement It?

Here’s the reality that most security teams are already living: Over 80% of employees are using unapproved AI tools at work, and nearly half are actively hiding them from IT. The question facing every organization is no longer whether to adopt artificial intelligence — it’s how to secure the sensitive data flowing into it every single day. This is the governance gap.