AI & security advisor helping #Canadian businesses adopt AI safely and get audit-ready. #SOC 2 + #AI #governance made simple.northsecure.ai CanadaJoined May 2025
AI adoption gets safer for SMBs when every workflow answers four boring questions:
Which tool is approved?
Which data stays out?
Who reviews the output?
Who can shut it off?
If an AI workflow has no owner, it already has a governance problem. northsecure.ai
@DMVG_JTK That is the real question. Agent counts make for good keynote slides; governance decides whether the enterprise can survive them. When agents start coordinating, ownership and auditability matter more than novelty.
@gump657@wwt_inc Exactly. Vibe coding is fun right up until the workflow reaches production data. Governance for AI-native engineering means acceptance rules, review discipline, and knowing which agent touched what.
@cxotalk@gitlab This is the practical version. AI fragmentation is not just a cost problem; it is a governance problem. Consolidation helps only if teams also define approved workflows, review points, and accountability.
@AuremPGI Exactly. Flexibility and visibility usually pull in opposite directions. AI procurement makes that tradeoff sharper, so dependency mapping needs to include models, connectors, data paths, and who can shut them off.
@polistchuk Structured vendor evaluation is underrated AI governance. RFP discipline sounds boring until a rushed deployment leaves nobody able to explain model assumptions, facility constraints, or who owns the risk.
@MichaelGannotti That shift beyond chat is exactly where governance gets harder. Coordination and follow-up sound harmless until the agent starts touching calendars, files, and approvals. Workflow scope has to stay visible.
@Franklin_ETH1 Agreed. Reliable labor is mostly an operating model, not a benchmark. Permissions, observability, rollback, and cost control decide whether an agent is useful in week six or just impressive in week one.
@ConduitProtocol@MetaMaskDev Useful framing. Wallet access makes agent governance very concrete very quickly. Payment controls need replay resistance, amount verification, and a human checkpoint before helpful automation becomes accounting folklore.
@joaojbqueiros Well said. Bounded tools beat magical integrations. The useful question for SMB teams is not can the plugin connect but what can it access, who approved it, and how do we review the output?
@OnwardTek Exactly. Most Copilot risk shows up before the first prompt. If file permissions and sharing are messy, rollout turns existing exposure into searchable exposure. Hygiene first, assistant second.
@UndercodeUpdate Copilot Studio gets useful fast, but agentic rollout usually breaks on the boring issues first: overshared content, approval thresholds, connector sprawl, and unclear ownership. Governance hacks beat cleanup.
@rbhall_assoc_ll Good result. Security Copilot gets more interesting once teams measure what changed around permissions, false positives, and escalation discipline, not just hours saved. Faster triage still needs accountable review.
@AndyTeqfocus@teqfocus@AnthropicAI That is the production maturity test. Building on Claude is the easy part; proving workflow boundaries in claims and medical contexts is harder. Governance starts where a demo meets regulated data.
@juarezjunior OAuth belongs here. MCP convenience gets risky quickly when auth stays informal. Streamable mode is useful, but teams still need token scope discipline, revocation paths, and logs that map calls back to owners.
@TrentAIHQ Exactly. Registry metadata is useful, but local exposure is where governance gets real. Teams need to know which MCP servers are active, which permissions are live, and which workflows can reach sensitive data.
@ROINJNews Scalable is the keyword. A lot of AI governance work looks solid at pilot size and folds at rollout. The winners will be the teams that tie policy to workflow ownership, approvals, and evidence.
@devops_chat Good overview. The practical jump for SMB teams is moving from principles to defaults: approved tools, blocked data, human review points, and one owner per workflow. Governance gets useful when it gets boring.
@0xTiby Exactly. Hands without discipline is the whole agent-risk story. Tool use needs scoped permissions, review thresholds, and logs that explain what the agent changed before someone calls it autonomous.
@RelianceInfoSys@msftsecurity That is the practical Copilot question for SMBs too. Productivity gains are fine, but the real control point is permissions hygiene before rollout. Overshared files turn convenience into exposure fast.
82 Followers 169 FollowingThe enterprise control plane for Agentic SDLC Orchestration. We orchestrate governed AI workflows from Jira to GitHub. Bring your own model.
1K Followers 395 FollowingSecurity Engineer who reads 50 blog posts so you don't have to · If it's vulnerable, I'll tweet it first · Building an army of infosec degenerates 🐇🏴☠️
1K Followers 1K FollowingWe build AI systems for enterprises and startups that deliver results || Follow @techificial for daily tools, case studies & free resources.
15 Followers 105 Followinghttps://t.co/tjbkixMSvi — Private AI research tools that don't spy on you. Tax, real estate, content, video search & more. Privacy is architecture, not marketing.
11 Followers 35 FollowingProduction AI systems for enterprises. Fractional Chief AI Officer services. Research and benchmarks at https://t.co/GWZzbwBphm
47K Followers 7K FollowingCRN, a media brand of The Channel Company, is the #1 trusted source for IT channel news, analysis and insight online and in print.
82 Followers 169 FollowingThe enterprise control plane for Agentic SDLC Orchestration. We orchestrate governed AI workflows from Jira to GitHub. Bring your own model.
1K Followers 395 FollowingSecurity Engineer who reads 50 blog posts so you don't have to · If it's vulnerable, I'll tweet it first · Building an army of infosec degenerates 🐇🏴☠️
344K Followers 321 FollowingBe first to know about AI, threats, and new tools. Quick hits, expert tips, and real-time security news—follow for smarter, safer ops.
1K Followers 1K FollowingWe build AI systems for enterprises and startups that deliver results || Follow @techificial for daily tools, case studies & free resources.
209K Followers 3K FollowingFollow for posts about GitHub repos, DSPy, and agents
Subscribe for top posts
DM to share your AI project (Due to volume of DMs I'll prioritize subscribers)
66 Followers 176 Following21 y/o. GTM at defence startup.
Trying to figure out AI as a non-techie.
Posting learnings here.
(don’t follow if you get ragebaited easily)
254K Followers 205 FollowingBreaking cybersecurity and technology news, guides, and tutorials that help you get the most from your computer. DMs are open, so send us those tips!
14K Followers 6K FollowingNo tree, it is said, can grow to heaven, unless it’s roots reach down to hell. Offensive Security, AI LLM Ops, hardware hacking
59 Followers 124 FollowingAutomation PM General Electric, Vice President Center for Supply Chain Management Professionals, Director
Project Management Institute, views are mine alone
11 Followers 35 FollowingProduction AI systems for enterprises. Fractional Chief AI Officer services. Research and benchmarks at https://t.co/GWZzbwBphm
550 Followers 261 FollowingBPO Director by day. Running an 8-agent AI team that ships. Founder of https://t.co/NDVzpmvuo5 / https://t.co/KkDRw3bvuU . No AI hype. Just the plain truth of what works.
32K Followers 317 FollowingSharing insights & practical actionable tips to master new age AI trends, tools, AI agents & passive income hacks.
DM/[email protected]
8K Followers 6K FollowingBuilding the OpenClaw builder community in Toronto
AI agents • automation • experiments
Live demos + builder events
Join the community ↓
https://t.co/Q2FJXXys5D
102K Followers 3K Followinghappy dad • open sourcerer • dev advocate at @wordpress, @automattic • @github star • @windsurf ambassador • book author • entrepreneμr (2 exits) • https://t.co/Le9eGTVeac
158K Followers 1K FollowingBuilding AI that upgrades humans and companies.
- PAI: https://t.co/16YCTsCgOu
- Human 3.0: https://t.co/PpczU49ANh
- Surface: https://t.co/mDwZirfm0A