Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Attackers carried out a supply chain compromise by abusing a compromised npm maintainer account to publish malicious Axios versions ([email protected] and [email protected]). These releases introduced an unexpected dependency, [email protected], which attempted platform-specific malware execution via an npm lifecycle script during installation on Windows, macOS, and Linux.

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In 2025, we embarked on a new journey to secure the most important technology transformation of this decade – generative AI. Our vision is to help companies secure their AI fast, so that they can innovate on the cutting edge and put AI and agentic use cases into production. To do this, we built Evo, the world’s first agentic orchestrator for AI security. The foundation of any product is customer needs.

Security operations demands precision and efficiency. Administrators manage complex environments, maintain data flow, uphold compliance, and keep the platform running at scale. Analysts work to quickly understand which alerts require action. Both roles depend on tools that reduce friction and help them move faster. The April 2026 LogRhythm SIEM release introduces updates that make daily security operations work more efficient.

AI agents now participate directly in daily work. They write code, summarize data, generate documents, and automate tasks at a speed and scale no human can match. As your organization adopts more assistants and autonomous workflows, you introduce a new type of insider: an agent operating inside your systems with real identities, credentials, and privileges. Human and machine activity now blend inside enterprise environments. The shift expands insider risk in ways many teams can’t yet see.

What resonated most at RWC 2026? GitGuardian highlights key research on private key leaks, password managers, trusted execution environments, and secret sprawl.

Although Jira serves as the system of record for many DevOps and IT teams, retrieving secrets or approving requests for privileged information often occurs on other platforms. Teams may depend on external tools, email messages or Slack chats to manage credentials or elevation requests, leading to context switching, audit gaps and delays that increase operational risk.

Public sector organizations are operating in a threat environment that is both relentless and increasingly personal. Federal agencies, state and local governments and educational institutions are prime targets for ransomware, phishing, business email compromise (BEC) and credential theft. Local governments alone account for an estimated 43% of ransomware victims in 2025. But the real shift isn’t just in volume. It’s in tactics. Attackers have stopped trying to break in.

If the public sector had unlimited cybersecurity budgets and fully staffed SOCs, today’s threat landscape would look very different. But that’s not reality. Public sector organizations face chronic staffing shortages, constrained budgets and compensation structures that make it difficult to recruit and retain cybersecurity talent. Meanwhile, adversaries are accelerating their attacks. The result? Small teams carrying massive responsibility.

“AI-powered DAST” is everywhere. It signals progress, but assumes something fundamental was missing. It wasn’t. DAST struggled not from lack of intelligence, but from lack of depth. Most tools never reached inside authenticated, stateful, multi-step journeys where real logic, sensitive data, and critical vulnerabilities exist. That’s the part Appknox solved years ago. AI here is not a reset. It is an accelerator, applied to a system already operating where risk actually lives.