Security Boulevard

Most security tools respond after risk enters the workflow. Learn why upstream security changes the timing of control. The post Why Your Security Starts Too Late | Menlo Security – Blog | Menlo Security appeared first on Menlo Security Blog. *** This is a Security Bloggers Network syndicated blog from Menlo Security Blog authored by Menlo Security Blog. Read the original post at: https://www.menlosecurity.com/blog/why-your-security-starts-too-late

GitGuardian is now live on the Kiro Powers marketplace. Install the Power once, and Kiro’s agent can help you use GitGuardian tools directly in your workflow. Ask it to scan your repo for secrets with the GitGuardian CLI, or remediate incidents tied to your current project through the GitGuardian MCP server.

In 2026, organizations in regulated industries face unprecedented challenges in managing AI-driven threats and compliance obligations. AI risk monitoring has emerged as a critical capability for maintaining robust cybersecurity audits while ensuring strong governance and compliance across complex regulatory landscapes. Decision-makers must adopt proactive strategies that leverage artificial intelligence to detect, assess, and mitigate risks in real time.

In our previous articles, we explored how Automated Certificate and Key Lifecycle Management and Centralized Key and Secrets Management strengthen HPE Nonstop security. Now it’s time to turn to the third pillar: protecting critical SSH and SSL/TLS connections with post-quantum-ready cryptography. HPE Nonstop environments contain some of the world’s most sensitive personal and financial information. That makes them a popular target for attack by digital fraudsters, thieves and extortionists.

TL;DR At the end of Q2 2026, Sonatype Research reached 1.8 million malicious packages logged. In Q2, npm accounted for 96.6% of malicious package counts, with repository abuse and trojan-class activity showing how attackers continue to exploit high-trust, high-automation ecosystems. The quarter’s defining theme was trust under pressure.

HMEFB: Anatomy of a Belarusian Worm I found this story because of a re-post on Mastodon by Fritz Adalis regarding a suspicious User-Agent by Jason Callahan of SANS’s ISC. He found something odd in his DShield honeypot logs: a URI path that read /?_HELP_ME_ESCAPE_FROM_BELARUS_PLEASE_. In the User-Agent header, an email address: [email protected].

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Permiso Security today added a risk scoring engine to its portfolio that enables cybersecurity teams to better respond to threats based on the identities of the affected individuals. Company CEO Paul Nguyen said the Permiso Risk Score Engine is based on a proprietary scoring model the company developed that is similar in concept to the models used to score credit ratings.

Managing an artificial intelligence (AI) footprint has emerged as one of the most complex challenges for modern enterprise security and risk teams. As shadow AI, autonomous agents, and embedded third-party models infiltrate corporate environments, traditional methods of software tracking have broken down. Organizations are quickly realizing that maintaining an accurate inventory is not just an IT best practice.

In Episode 4 of The Cyber Roundtable: Security Evolutions, I sat down with Greg Crowley, founder of Runtime Executive and author of Secure AI Enablement: A CISO’s Practical Guide to Governing AI at Scale. Greg has spent more than two decades in security, and he came up the way a lot of CISOs do — through IT. He spent close to twenty years at WWE, moving from systems administrator into executive leadership back when security was still part of IT’s job rather than its own function.