Plaintext secrets on developer machines create real supply chain risk. Honeytokens provide early detection while stronger identity-based controls are rolled out.

If an auditor walked in tomorrow and asked for a complete inventory of every AI model, agent, and tool in your environment, how long would it take you to produce it? For most organizations, the honest answer is: they can’t because the way AI is entering the enterprise has fundamentally changed.

For organisations pursuing SOC 2, demonstrating effective security controls is central to the audit process. While the framework does not prescribe specific technologies or testing frequencies, it does require evidence that risks are identified, assessed, and mitigated through appropriate controls. This is where SOC 2 penetration testing becomes particularly relevant.

In only a few years, artificial intelligence (AI) has changed almost every aspect of life, and especially so in business. Today, employees are using generative AI tools to draft emails, code software, and analyze data at lightning speed. However, there is a hidden side to this productivity boost: unauthorized AI use. Many employees are bypassing official IT channels and using shadow AI applications to get their work done.

If your organization is evaluating DSPM solutions, you're likely already aware of the core promise: discover sensitive data, understand its risk, and improve your posture. But DSPM's value extends well beyond a single use case or a single team. Security leaders who get the most from their DSPM tool treat it as a cross-functional intelligence layer, not just a compliance checkbox. Below are eight use cases that illustrate how DSPM delivers value across both security and business outcomes.

Endpoint management system breaches stem from compromised privileged access, not unpatched vulnerabilities. Attackers use legitimate credentials to operate undetected within trusted workflows, bypassing traditional controls. Eliminating standing privilege with just-in-time access and enforcing least privilege reduces attack paths, while identity threat detection and response ensures misuse of valid access is identified and contained in real time.

If your encrypted traffic was captured today, would it still be private in ten years? That question changes the conversation. Leaders are used to asking, “Is it encrypted?” Now they are asking, “How long does it stay confidential?” That is where post quantum cryptography, or PQC, comes in. Its role is to strengthen the foundations of a secure connection by improving how trust is established before any data is exchanged. Today’s encryption still works.