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AI for Security Infrastructure: Rebalancing Cybersecurity for the Decade Ahead

For more than a decade, cybersecurity has been shaped by a single doctrine: assume breach. Facing high-volume, relentless, and diverse attacks, the security industry has been forced into a reactive stance, playing a constant game of whack-a-mole in a nonstop damage-limitation exercise. This has driven major investment in detection, response, and recovery, and created a world in which organizations are better at reacting to incidents than at preventing them in the first place.

How to Secure Sensitive Data in Jira & Confluence with DLP (Data loss prevention)

In almost every major enterprise, Jira and Confluence are the default operating systems for innovation. They hold your organization's most vital intelligence, from product roadmaps to financial planning. Yet, while companies invest billions in fortress-like perimeter security, firewalls and VPNs, to keep external attackers out, they often ignore the fragility of their internal collaboration environments.

Talos intent-based detection: Stopping the scrapers that legacy tools can't see

Cybersecurity tools and procedures were designed to provide full defence against predictable threats that followed patterns that would raise alarms. Familiar CAPTCHAs, IP blocks, browser checks, browser fingerprinting, and login restrictions would provide a protective layer for businesses to ensure only genuine users were using their website, or app, or API responsibly. This layer of cybersecurity used to distinguish human from bot.

Cyber Recovery vs. Disaster Recovery: What You Need to Know

Today’s IT leaders face a non-stop escalation of stealthy cyberattacks designed to hold organizations hostage. The dialogue has shifted from if you will be compromised to when. The financial stakes are incredibly high. According to a 2024 study by Splunk and Oxford Economics, “outages cost businesses over $400 billion in revenue each year.” For many Technology decision-makers, the instinct is to rely on traditional disaster recovery plans.

Why API Security Is No Longer an AppSec Problem - And What Security Leaders Must Do Instead

APIs are one of the most important technologies in digital business ecosystems. And yet, the responsibility for their security often falls to AppSec teams – and that’s a problem. This organizational mismatch creates systemic risk: business teams assume APIs are “secured,” while attackers exploit logic flaws, authorization gaps, and automated attacks in production. As Tim Erlin noted recently, “These are not exploits of a specific vulnerability, but abuse of an API.”

Future of MFA: Trends That Will Win in 2026

2026 is here, and cybersecurity is defined by a critical paradox: despite widespread MFA adoption, credential-based breaches continue to surge. Traditional multi-factor authentication, static, friction-heavy, and often disconnected, no longer stands up to sophisticated threats, such as AI-powered phishing, MFA fatigue attacks, and prompt bombing campaigns, which exploit user behavior rather than technical vulnerabilities.

What AppSec Teams Need to Prepare for in 2026 #applicationsecurity #appsec #aisecurity

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.