Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Building a DLP strategy has two failure modes. The first is skipping the planning and going straight to deploying a tool. The second is over-planning and never actually deploying anything. These 10 Data Loss Prevention Best Practices cover the full arc. From picking the right DLP tool, setting up your program properly, and keeping it from drifting once it's live. Teams that get DLP right tend to follow roughly the same best practices.

Your data leaks in ways you don't expect. A developer pastes source code into ChatGPT. A finance employee emails a payroll spreadsheet to a personal inbox. A salesperson uploads a client list to a personal Google Drive before their last day. All of these are breaches, rather, potential breaches. That's exactly why data loss prevention (DLP) tools exist. But picking the right one? That's where it gets complicated.

A Data Subject Access Request (DSAR) gives individuals the right to ask these questions and gain greater visibility into how their personal data is being used. Under privacy laws such as India's Digital Personal Data Protection (DPDP) Act, Data Principals can request access to their information and exercise other privacy rights. Every time you shop online, sign up for a service, or submit your details on a website, organizations collect and process personal data about you.

If your organization uses a Mac, you’ve probably heard of FileVault. But what is it, exactly? And more importantly, do you actually need it? A lost Mac can become much more than an expensive replacement if you have sensitive business data in it. FileVault is one of the simplest ways to protect it. Apple provides it by default with macOS. It encrypts your startup disk, so your files stay unreadable if someone gets access to your Mac without your login.

CISA calls phishing-resistant MFA the standard every organization should be working toward. For DoD components, federal agencies, defense contractors, and other organizations operating at NIST's highest authenticator assurance level (AAL3), that guidance narrows to two paths: FIDO2/WebAuthn, or PKI-based smart cards like CAC and PIV.

If you’ve managed Jira for a while, you've probably seen permissions grow more complex over time. You might have accounts that were granted temporary access during a migration but are still retaining it today. Or maybe contractors whose access was never revoked. You can clean that up. But with hundreds of users and projects, it’s going to take forever. Things become even more complicated when you're preparing for a SOC 2, ISO 27001, or SOX access review.

Teams are connecting Claude to Jira to summarize issues, draft tickets, and answer sprint questions in seconds. The productivity gains are real, but so is the security risk. The problem is simple: a direct connection gives Claude the same permissions as the person who set it up. If that user can view confidential projects or delete issues, so can Claude. There's no business logic in between deciding what AI should and shouldn't touch. Most organizations don't want to ban AI.

If you're evaluating multi-factor authentication for a bank, a hospital network, a defense contractor, or a government agency, you've probably already run into smart card authentication. It's the method behind the CAC (Common Access Card) and PIV (Personal Identity Verification) cards federal employees badge in with every day. It's also becoming the default authentication method that regulated industries reach for, once passwords and OTP codes stop being good enough.

Your ERP system doesn't know what a SAML assertion is. Neither does that 15-year-old internal tool running your warehouse floor. But your identity team just rolled out Microsoft Entra ID with conditional access, MFA, and zero trust policies everywhere. That gap is what modern authentication for legacy applications closes.

Every employee, contractor, and partner who touches your systems creates a paper trail of accounts, permissions, and access rights that has to be managed from the day they join to long after they leave. Identity lifecycle management is the process of creating, updating, and retiring a user's digital identity and access rights across that entire span — from onboarding through role changes to offboarding.