Python dominates the coding world, powering everything from web apps to AI breakthroughs. It’s so popular that 70% of developers have Python in their toolkit. It’s no wonder it consistently ranks among the top languages year after year. But with great power comes great responsibility…to write bug-free code. That’s where the secret weapon of top Python pros comes in: Static Code Analysis (SCA).

While artificial intelligence and big data steal the spotlight, a less glamorous but equally crucial discipline is quietly shaping the future of business: data governance. With European regulators imposing fines of up to 17.29 million pounds for data mismanagement, it’s clear that data governance is not just a compliance checkbox. It’s a strategic investment that can empower your organization with a tangible return on investment.

Like any chain, a software supply chain contains many links. These links consist of every actor involved in the development & deployment of your code in the Software Development Life Cycle (SDLC). An actor can be the developers, infrastructure components, and even repositories like GitHub. A company might have a very secure supply chain. However, it will only be as strong as its weakest link.

Security testing? Ain’t nobody got time for that. Or budget. Or the necessary skills to align coding practices with organizational and regulatory compliance efforts. Developers are too busy racing against themselves and the expected development velocity of modern development teams. Mistakes are bound to happen.

Every day, headlines scream about data breaches and cyberattacks. Could your organization be next? If you’re not using Mandatory Access Control (MAC), you’re leaving your sensitive information vulnerable to unauthorized access. The fear is real – 52% of data breaches expose customer information, wreaking havoc on reputations and bottom lines. But what if you could drastically reduce this risk?

Many developers overlook the risks lurking in third-party packages. Every package you add could harbor vulnerabilities, potentially exposing sensitive user data and granting unauthorized access to your systems. It can lead to severe consequences, including data breaches, system compromises, reputation damage, and disruption of your services. With 80% of projects using at least one vulnerable package – it’s a crucial issue.

In February 2023, LastPass, a leading password manager service, disclosed a security breach that reminded us just how severe SaaS breaches can be. The intrusion involved a targeted attack against a DevOps engineer accessing the corporate vault, underscoring the consequences of inadequate access controls and security practices.

If you are a developer in the current cybersecurity climate, you already know your application’s security is paramount. But have you considered the risks associated with your vendors? With over 50% of new applications developed in the coming years being Cloud-Native, vendor-related cyber security risks are a growing concern. Cloud-native organizations must consider all vendors during risk assessment. Today, you rely on countless vendors, some of whom are unknown to IT.

Modern cybercriminals aren’t just after your average employee. They’re targeting DevOps engineers – the gatekeepers of critical infrastructure and valuable data. 90% of data breaches start with phishing. Traditional awareness training often needs more technical depth. These programs tend to focus on generic red flags (e.g., suspicious links and requests for sensitive information) that are easily recognized by most.

Security teams are drowning in alerts and manual tasks, and the weight of human error hangs heavy. Repetitive tasks lead to fatigue, where overlooked details can have devastating consequences. In a high-stakes environment where misconfigurations, accidentally exposed secrets, and delayed responses spell disaster, security teams desperately need tools to reduce the risk and pressure.