Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security teams are under immense pressure. Traditional red teaming and annual penetration tests aren’t cutting it anymore. Breaches are no longer rare events; they’re expected. What matters now is what happens after the breach. Enter Continuous Automated Red Teaming (CART). CART is transforming how leading security teams approach validation, visibility, and readiness.

In this series, we examined the vital connection between AI and APIs, highlighting what makes a leader in the API security market through the 2025 KuppingerCole Leadership Compass. Now, we turn to the core strategy of true API security: the full-lifecycle approach, where security is a continuous, integrated process rather than a single action.

The Cloud Security Alliance, a respected non-profit founded in 2008 to pursue cloud security assurance, has now unveiled its Artificial Intelligence Controls Matrix (AICM), a quiet revolution for trustworthy AI. It has come at a time when generative AI and large language models are moving quickly into every sector. These systems can transform business, but they can also fail, or be made to fail. Because of this, trust becomes the measure of success.

The speed of software development today is driven by fierce competition and the constant demand for innovation. Organizations are launching software faster than ever to keep up with the market and drive growth. This need for speed has led to several key trends: These trends introduce a critical dilemma: How do you balance speed vs. trust? While fast releases are essential to meet market and user demands, sacrificing trust for speed can lead to severe business repercussions.

Financial services and insurance companies live under some of the toughest compliance rules in the world. Regulations keep multiplying. Cyber threats keep evolving. And the penalties for getting it wrong range from multi-million-dollar fines to reputational damage that takes years to recover. The problem? Too many GRC programs are still manual, reactive, and siloed. Outdated tools and processes force teams to spend countless hours chasing evidence and preparing for point-in-time audits.

If you operate a website, run targeted ads, or use third-party analytics, the answer is likely yes. Since its enforcement began in 2020, the California Consumer Privacy Act (CCPA) has reshaped data privacy obligations in the U.S., granting California residents GDPR-like rights to access, delete, and opt out of data sales. But while companies scramble to update privacy policies and cookie banners, the client-side risks often go unaddressed.

For security teams, the stakes are rarely as high as they are during mergers and acquisitions (M&A). Suddenly, you’re tasked with managing two companies' worth of devices, applications, identities, and data. There can be serious issues lurking within the newly acquired (or soon-to-be-acquired) company, including legacy systems, poorly vetted third-party contractors, and incompatible security policies.

In 2021, a critical vulnerability in a popular Node.js library allowed hackers to carry out code injection and silently compromise thousands of applications, with disastrous effects. It wasn’t a brute-force attack. It wasn’t ransomware. It was some wittily constructed pieces of malevolent code that got through defences and provided attackers with complete carte blanche. Code injection attacks are no longer rare. They’re alarmingly common.

When engineers stress-test a bridge, they don’t ask the pedestrians to sign off on safety. They put the liability squarely on the designers, contractors, and city officials, i.e., if it fails, it’s their names on the line. CERT-In 2025 audit guidelines and framework apply the same logic to digital infrastructure. No more passing the buck to auditors; CXOs must sign risks, PMs must certify vendors, and developers must prove security in every build.

Most teams run on velocity budgets, not risk budgets. While features get sprints, milestones, and release slots, risk, on the other hand, gets hope. When scan depth and speed decisions are made without an explicit budget for risk, the outcome is predictable: throughput is optimized while exposure compounds silently in the background.