Safeguard on social

Stolen GitHub tokens are being used to push one workflow file that prints a repository's secrets into the Actions log. Researchers count 13,500+ planted branches across 850+ accounts. GitHub's approval hold covers public repos on https://na2.hubs.ly/H08CbQs0, not private repos or GitHub Enterprise Server. Check today: ci-sync-* branches, who can edit workflows, token lifetimes, and required reviewers on production secrets. https://na2.hubs.ly/H08CbQv0

Where does your code go when you adopt a security platform? Our new post walks through every Safeguard deployment model: SaaS in the US, EU (Frankfurt) and Gov regions, private VPC, on-prem and air-gapped. It shows what leaves your network in each one, and how the local runner keeps source code on your machine.

28 October: Node 26 moves to LTS, and Node 27 starts its Alpha phase. A good day to check which Node line every service runs. Node 20 ended on 30 April 2026. Node 22 ends on 30 April 2027, 24 on 30 April 2028, 26 on 30 April 2029. The 21 October 2026 security release covered 26.x, 24.x and 22.x. Release history, LTS lines and security releases: https://na2.hubs.ly/H08DS1q0

Coverage is exactly as wide as the sources you connect. We mapped every card on Safeguard's Integrations page: source code, registries and images, AI models and providers, uploads, and posture and security testing. Swipe for the map and a rollout order that starts with one code host and ends with the policies that matter on Block. https://na2.hubs.ly/H08CCJY0

A verified name in the MCP Registry proves who published the record. It does not prove who runs the endpoint, or that the server is safe. Safeguard's MCP server is now in the official MCP Registry as http://sh.safeguard/safeguard. So here is how to check us, or any vendor, before an assistant gets access. The registry checks one thing at publish time: that the publisher controls the namespace. It does not verify the remote URL and it does not scan server code. Its own moderation policy says to assume minimal to no moderation. Four checks before you approve a connection: 1. Pick by name, not title. The title is free text that anyone can set. 2. Reverse the namespace. http://sh.safeguard reads https://na2.hubs.ly/H08C0fG0, the domain the publisher proved. 3. Match the remote URL to the vendor's own docs, and confirm its host sits on that domain. 4. Safeguard is a hosted server with no package. If a guide asks you to install one for a hosted server, stop. Then connect. In Claude, add Safeguard from the connector directory and read the sign-in page before you click Authorize access. A new Safeguard workspace starts with a small set of read-only tools. Everything else stays off until an administrator turns it on. The full walkthrough, with every command and its output, is in the first comment. {{facebook_mention(437551772990200|#MCP)}} {{facebook_mention(126104680913617|#appsec)}} {{facebook_mention(387724268017738|#AISecurity)}} {{facebook_mention(464396337000651|#SupplyChainSecurity)}} https://na2.hubs.ly/H08C0dL0

CVE-2026-114625, a SQL injection in on-prem Arista VeloCloud Orchestrator, was added to CISA's Known Exploited Vulnerabilities catalog on 23 October. Three checks today: 1) do you run it on-prem (Hosted and Dedicated are already patched by Arista)? 2) is your build 5.2.3.18, 6.1.3.10, 6.4.2.12 or later? 3) is the web portal limited to admin networks, and have you reviewed the logs? Full write-up: https://na2.hubs.ly/H08CCbV0

A person holds about four things in mind at once. Some AI models now hold a million tokens, word for word. So the worry becomes memory. That is the wrong worry. A model has no hard line between instructions and data. Your system prompt, your request, a retrieved web page and a tool result all arrive as tokens in one channel, and any of them can steer what an agent does next. That is prompt injection. A bigger window just gives it more room. What helps is structural, not clever prompting. Know every source that writes into an agent's context and who controls it. Then keep the agent's tools narrow: an agent that reads untrusted content should not send email or push code without a person approving it. We wrote the long version, with the research behind each point (Cowan on working memory, the "lost in the middle" results, OWASP's LLM01) and where Safeguard's AI-BOM discovery, MCP Guardrail and AI Gateway fit. Link in the first comment. {{facebook_mention(387724268017738|#AISecurity)}} {{facebook_mention(5788320984513346|#PromptInjection)}} {{facebook_mention(6864217526962732|#LLMSecurity)}} {{facebook_mention(126104680913617|#appsec)}} https://na2.hubs.ly/H08C0640

Your first big customer sends over the security review. One line on it decides the deal: SOC 2 Type II report. For a five person startup, the tooling alone is a real line item. Established compliance automation starts around $4,000 to $15,000 a year. Ours is $1,699 a year, flat, for startups under 10 people. That is the lowest credible SOC 2 Type II automation price for a team that size. What it covers: Controls, evidence and tests sit in one place in Safeguard. Tests and evidence collection run on a schedule, so evidence builds up while you ship instead of in a scramble before the audit window. The same plan also covers your application security and your software supply chain. One subscription, not a compliance tool plus a separate security tool. Two things to be plain about. Audit fees are separate. The CPA firm's attestation is not part of the $1,699. If you want help there, we can coordinate the audit with an independent, accredited auditor, quoted per engagement. The rate is for startups under 10 people. Past that, standard pricing applies. Pricing is public: https://na2.hubs.ly/H08C01l0 {{facebook_mention(370570193052123|#SOC2)}} {{facebook_mention(663661833668814|#StartupSecurity)}} {{facebook_mention(150837038412761|#compliance)}} {{facebook_mention(126104680913617|#appsec)}}

Safeguard's partner program is open worldwide. Partners get a 30% margin in year one, and 35% on deals registered with us. Four ways to partner: resell with margin, white-label under your own brand, co-sell on shared accounts, or offer managed services. It suits partners with in-market credibility and technical depth. Details and how to apply: https://na2.hubs.ly/H08CC740

A Zero Day has no CVE. So a scanner that only matches public feeds has nothing to match. There is no advisory and usually no fix. CISA's KEV catalog can't list it either, because KEV needs a CVE ID first. Waiting on the feed is the one plan that cannot work here. What works is a loop that does its own hand offs, with no ticket queue in the middle: Detect: known and novel flaws, in your code and in your dependencies. Decide: rank by what your application actually calls, then apply policy. Fix: a tested pull request, not a ticket. Source: move to a safe version of the component. Verify: rescan the merged commit. If the finding is still there, it isn't fixed. Prevent: stop that class of flaw in the IDE, at install time and in CI. People stay in charge. They decide which classes of fix may run without review and who can grant an exception, and for how long. Autonomy is earned one class of fix at a time. Suggest only first. Then pull requests that open automatically and a person merges. Then your own repository rules for the safest class. In Safeguard, autonomous remediation ships switched off until an admin turns it on. The full guide maps the loop to NIST SSDF and includes a decision table and a 30/60/90 day rollout. https://na2.hubs.ly/H08B-RW0 {{facebook_mention(126104680913617|#appsec)}} {{facebook_mention(779364722076485|#SoftwareSupplyChain)}} {{facebook_mention(382387348541671|#VulnerabilityManagement)}} {{facebook_mention(622676334446997|#DevSecOps)}}

Most data doesn't leak in some dramatic hack scene. It leaks quietly, through a vulnerability nobody was watching for yet. Zero-day discovery runs its own research pipeline to catch these before they're public knowledge, so the window where you're exposed gets a lot smaller. See how it works.

Every dev team knows the feeling. The security scan comes back with thousands of issues and nobody knows where to start. Here's the thing: most of those issues sit in code your app never touches. Safeguard scans your code and dependencies, works out what's actually reachable, and opens a tested fix for the ones that matter. Your team just reviews and merges. Less noise. Real fixes. 🔒 Link in bio to see it run on your code.{{facebook_mention(126104680913617|#AppSec)}}c{{facebook_mention(622676334446997|#DevSecOps)}}s{{facebook_mention(341199579317799|#cybersecurity)}}y{{facebook_mention(472102029509957|#softwaredevelopment)}}t{{facebook_mention(146063558893416|#devlife)}}e{{facebook_mention(154772514709359|#CodeSecurity)}}y{{facebook_mention(161905960632922|#TechStartup)}}p{{facebook_mention(556072767756283|#developers)}}s

Your CVE dashboard is all green. That’s the part that should worry you. Closing every known CVE proves you handled the vulnerabilities that already have a name. A zero-day is the one that doesn’t, so it never shows up on the board you hand the auditor. When a customer’s security review or a regulator asks how you handle the unknown, “we scan for CVEs” isn’t an answer. Safeguard finds zero-days before they’re public, proves which ones are actually reachable, and gives you both the fix and the evidence. Coverage complete, before the CVE exists. 30-second version below. See where you’re exposed. Book a demo.

Your team ships more code every week. Your scanner only knows last year’s CVEs. A scanner matches known vulnerabilities. But the one that actually hurts, the flaw an AI just wrote into your codebase, doesn’t have a CVE yet. No advisory, no signature, nothing to match. So we built Safeguard to find the zero-day in your own code and dependencies, prove it’s actually reachable so you’re not chasing noise, then open the tested fix as a pull request your team can review. Review it, merge it, keep shipping. 30-second version below. Want it pointed at your repo? Book a demo.

That notification badge you’ve been ignoring for three weeks is doing more work than you think. The scariest bugs in your software aren’t the ones with a CVE and a patch waiting. They’re the ones nobody’s named yet, quietly worth more on the open market than most engineers make in a decade, sitting in code someone shipped and forgot.

The vulnerability that gets you won’t have a CVE yet. No CVE means no patch, no advisory, and nothing for a scanner to match against. That’s a zero-day, and it’s already sitting in your dependencies. So we built Safeguard to find the flaw before the CVE exists, prove it’s actually reachable in your code so you’re not chasing noise, then hand your team the fix as a pull request they can review. 30-second version below. Want it pointed at your code? Book a demo: https://na2.hubs.ly/H080NJR0

A CVE is a lagging indicator. By the time a flaw has a name, it’s public, and you’re patching in hindsight. Short video on the part that actually matters: finding the vulnerability before it’s named. Proving it’s reachable, so you fix what counts, not noise. Then shipping the fix as a pull request your team can review, not one more ticket. Same for the code your models write and the MCP servers they call. Want it pointed at your code? Book a demo.

Finding it is only step one. After that, it gets checked, tagged, and disclosed the responsible way before it ever hits a public feed. Because discovering a vulnerability means nothing if the process after discovery puts more people at risk. Safeguard can help your team identify and manage security findings with a process built for responsible disclosure. {{facebook_mention(536502029727912|#Safeguard)}}

Some vulnerabilities don’t look dangerous at first. They can sit quietly in perfectly normal-looking code until the right conditions turn them into something exploitable. That’s why finding the unusual paths matters, not just checking for what we already know. {{facebook_mention(536502029727912|#Safeguard)}}

Found something before it even has a CVE number? It still gets a name, an advisory, and a suggested fix attached to it. Comment "ADVISORY" and we'll show you what one looks like.

A long list of findings can look impressive, but what really matters is knowing which ones are actually worth fixing. Safeguard challenges findings and proposed fixes before they move forward, helping cut through the noise and give your team more confidence in what needs attention. Less noise, more actionable work. {{facebook_mention(536502029727912|#Safeguard)}}

Some vulnerabilities don’t look dangerous at first. They can sit quietly in perfectly normal-looking code until the right conditions turn them into something exploitable. That’s why finding the unusual paths matters, not just checking for what we already know. {{facebook_mention(536502029727912|#Safeguard)}}

By the time a vulnerability has a name, the attackers already have it. Safeguard finds the flaw in your dependencies before it’s ever public — a pre-CVE zero day — and opens the fix PR for you. Fixed before the world has a name for it. Book a demo at the link in bio → https://na2.hubs.ly/H07GcJp0 {{facebook_mention(126104680913617|#AppSec)}} {{facebook_mention(341199579317799|#cybersecurity)}} {{facebook_mention(622676334446997|#DevSecOps)}} {{facebook_mention(779364722076485|#SoftwareSupplyChain)}} {{facebook_mention(285089884955709|#zeroday)}}