Anecdotes

If you're evaluating AI tools for continuous control monitoring, three capabilities decide whether the tool actually does the job. 1. Pull live data directly from your source systems (cloud, IDP, code repositories, HR, ticketing). The AI is only as good as the data it runs on, and static exports or screenshots can't power continuous analysis. 2. Apply analysis logic that fits your environment. Continuous monitoring is a different posture from scheduled testing. The logic has to understand your policies, your scope, and your edge cases. 3. Show scope inside the result. When a record is in or out of analysis, the reviewer should see why without leaving the view. That's what makes the output something a compliance team can act on. A tool that does all three is doing continuous control monitoring. The criteria hold whether you're buying, building in-house, or pressure-testing what you already use. At Anecdotes, all three are the platform. Your team builds on top.

"Compliance-as-Code" means different things depending on who you ask. Here's a clear definition of what it is, what it's not, and why it matters for GRC teams.

One week until our LIVE webinar with Maril Vernon, CISSP, Katriina Bell, and Conor Russo 🙌 30 minute panel, followed by 15 min Q&A. They will be discussing the evolution happening now in the GRC space and what you can do to begin shifting your program from evidence collection toward continuous assurance.

"Should we build this or buy it?" Our CEO Yair Kuznitsov hasn't asked that question in a year. Neither has anyone serious he talks to. The reason: AI collapsed the cost of the first build by an order of magnitude. A competent GRC engineer can ship in an afternoon what used to take a team a quarter. The constraint moved, and the question has to move with it. The new question is: → What is your team excited to build? → What should they be building it on? Because the dirty secret of "let everyone vibe-build their own app" is that 80% of the time gets eaten by access, ingestion, and normalization... the integration plumbing that breaks at 2am and nobody wakes up excited to maintain. GRC needs the same layer cloud, payments, and deploys already got: the most boring, reliable, invisible plumbing on the planet, so the interesting work can happen on top of it. That is what we are building Anecdotes to be. Full manifesto → https://lnkd.in/gZw6vXRG

What is one thing you hate about traditional GRC and what would you replace it with?? Let us know in the comments! This was one of the many hot topics we got into last week in New York. Maril Vernon, CISSP, Ayoub Fandi, Emre Ugurlu, Jake Bernardes, Jasmine Kaur

We’re in Atlanta this week at the The CISO Society Anti Summit. Our fearless CISO Jake Bernardes and our GRC Evangelist Maril Vernon, CISSP are leading a workshop on GRC in the age of agentic AI. Let the squid games begin! IYKYK.

Anecdotes is hiring across our Engineering and GTM teams 💥 == I joined Anecdotes the first work of January and have been nothing short of impressed with how well this team operates cross functionally. We are currently looking for a number of positions including: Go-To-Market Customer Success Manager (East Coast) Business Development Rep (Chicago) Business Development Rep (Seattle) Engineering Senior Backend Engineer (Data Platform) Senior Software Engineer GRC Solutions Engineer Front End Engineer R&D Team Lead Dev Lead If you are interested in any of the above roles please feel free to reach out to me personally via LinkedIn for an introduction or any questions. ==

M&As are great for business growth, but they are usually a nightmare for compliance teams. Every new subsidiary arrives with its own tools, its own frameworks, and its own way of doing things. When you multiply that across an entire ecosystem of acquired subsidiaries, it becomes an incredibly expensive, chaotic time-sink. WELL Health decided to completely rethink how they handle multi-entity GRC. Instead of fighting the friction, they used Anecdotes to build an architecture of autonomy. Each subsidiary gets its own dedicated workspace to run the way they need to, while the corporate security team maintains total oversight. The strategy didn't just work, it scaled: → They onboarded 8 business units in weeks → Automated data collection with 38 continuous plugins, and → Automated away 73% of their manual grunt work If you are trying to scale a GRC program across multiple entities, this is the playbook you want to copy.

Checkbox compliance wasn't built for AI-speed environments. Yet most GRC programs still rely on annual assessments, screenshots, and questionnaires to measure security assurance, while teams drown in evidence collection and lose sight of their real posture. Join us on May 27 at 10am ET for From Compliance to Confidence: Why GRC Needs to Evolve Now, where Maril Vernon, CISSP, Katriina Bell, and Conor Russo will unpack: → Why "compliant" ≠ "secure" → What GRC can learn from offensive security's shift to continuous validation → The rise of GRC Engineering and continuous controls monitoring → How to move from evidence collection to operational truth If you're rethinking how your team measures assurance, this one's for you. https://lnkd.in/g_FkZQxd

Join us in revolutionizing how GRC is done with AI 🚀 Looking for talented GRC Engineers to work with the world's largest enterprises!