LogicStar AI

We wrap up our “Anticipating the #AgenticEra: Assessing the #Disruptions by #AIAgents” recap with governance, accountability, and long‑term visions for agentic AI. 🧪 #Sandboxes & #Governance in Practice Clarissa Valli Buttow (University of Lausanne - UNIL) unpacked how current law meets real AI agents. On autonomy and control: “Autonomy is not a binary concept… more autonomy I give to the system, less control or autonomy the individual… has.” On the implementation gap: “We have this huge and quite abstract legal baggage… the problem… is on the details: how do you translate that to real actionable procedures…?” On why sandboxes help regulators too: “[The regulator] learns about the product in practice… and if the regulation is fit for purpose.” 🎥 Watch Clarissa’s talk: https://lnkd.in/dEAtE_2K ⚖️ #Accountability, #Governance & #Regulation – Panel 2 With Magda Barska (Accenture), Michel Jaccard (id est avocats), Petar Tsankov (LatticeFlow AI), Clarissa Valli Büttow (UNIL), moderated by Katherine Loh (C4DT). On who is responsible: Michel: “AI systems do not exist, legally speaking, so you need to find either an individual or a company to sue.” Responsibility stays with people and organizations, not “the AI”. On the real objective: Michel: “The end game is not to win the race. The end game is to have mass adoption of AI for the benefit of humankind.” Governance is about enabling safe, widespread use, not slowing everything down. On governance in practice: Petar: “It’s one thing to write [governance] on paper, but it’s another thing to actually implement it…” Being “responsible” means changing day‑to‑day workflows, not just publishing policies. 🎥 Watch this panel: https://lnkd.in/dg2_6x4m 🤖 Visionary Panel – Agency, Autonomy & #Recursive #Self‑Improvement Our closing panel with Prof. Andrea Cavallaro (Idiap Research Institute, EPFL), Mark Meuldijk ,(PwC Switzerland) Mark Niklas Müller (LogicStar AI), moderated by Daniel Saraga (Saraga Communications) - revealed how each panelist feels about the prospect of agentic recursive self-improvement: Mark Müller – cautious optimism “For now we will not have a runaway intelligence explosion… But in the immediate future, it's an exciting opportunity.” Mark Meuldijk – strong concern “On a global political level… we are currently testing real life on ourselves… what will happen… if we don't control them properly?” Andrea Cavallaro – excitement with caveats “We have in front of us a sea of opportunity… a road… to design self-improving agents that are useful to society and the environment.” 🎥 Watch this panel: https://lnkd.in/daQ3EbRU 🎥🎥🎥 All recordings of the conference can be found here: https://lnkd.in/dXTx6SxE Thanks to Laurent Bersier and the Kaosmovies team for the great video production. 🎬 What’s next 📄 A comprehensive white paper with key insights and recommendations from the event will be published by mid‑December. Stay tuned! #AI #SelfImprovingAgents

AI videos looked chaotic six months ago. This one came out surprisingly coherent. ⚡ Is this me finally getting better at prompting and avoiding the usual pitfalls, or are the models genuinely catching up? 🤔 I generated a full rap performance introducing LogicStar, built entirely with OpenAI #Sora2. Realistic avatar, clean audio, coherent scenes, and none of the typical model glitches. Six months ago this fidelity was not possible. Today it works on the second attempt, and it actually delivers an artistic explanation of what we do at LogicStar AI. Here’s the bigger point. As multimodal reliability improves, AI video becomes more than a novelty. 🎓 Training 🎬 Product explainers 🔧 Debug walk-throughs 🤖 Synthetic engineering hosts 🧪 Autonomous content generation for reliability and testing Where do you see the long-term impact? Are video models finally becoming dependable, or did I just get lucky with one clean prompt? 👇 #AI #AIVideo #GenerativeAI #SoftwareEngineering #DeveloperTools #LogicStar

🗺️ Introducing the 𝗔𝗽𝗽𝗦𝗲𝗰 𝗔𝘂𝘁𝗼-𝗥𝗲𝗺𝗲𝗱𝗶𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝗿𝗸𝗲𝘁 𝗠𝗮𝗽 𝗶𝗻 𝟮𝟬𝟮𝟱 👾🐞 Every security team knows the pain: endless vulnerabilities, expanding attack surfaces, and backlogs that grow faster than teams can keep up. In today’s world of multi-cloud, containers, microservices & CI/CD, the classic “𝘴𝘤𝘢𝘯 → 𝘵𝘳𝘪𝘢𝘨𝘦 → 𝘵𝘪𝘤𝘬𝘦𝘵 → 𝘩𝘰𝘱𝘦 𝘴𝘰𝘮𝘦𝘰𝘯𝘦 𝘧𝘪𝘹𝘦𝘴 𝘪𝘵” model is breaking. A new category is emerging — and accelerating fast: 🔧 𝗔𝘂𝘁𝗼-𝗿𝗲𝗺𝗲𝗱𝗶𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗜 𝗮𝘂𝘁𝗼-𝗳𝗶𝘅𝗲𝗿𝘀—𝗮𝗹𝘀𝗼 𝗸𝗻𝗼𝘄𝗻 𝗮𝘀 𝗔𝗜 𝗔𝗽𝗽𝗦𝗲𝗰 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀— Instead of just identifying vulnerabilities, this new wave of platforms can generate fixes, validate them, and remediate issues autonomously across code, dependencies, containers, IaC, and cloud. To bring clarity to the space, we mapped the entire ecosystem into: 1️⃣ Incumbents (AppSec foundations) Snyk, GitHub Advanced Security, Veracode, Checkmarx 2️⃣ Challengers (Pre-LLM innovators, 2015–2022) Semgrep, OX Security, Moderne, Lineaje Inc, Apiiro, Arnica, Tromzo, ActiveState, Qwiet AI by Harness, Tamnoon, Phoenix Security | ASPM, Cycode, Vicarius, Codacy, Cycode Seemplicity 3️⃣ Auto-Fixers / AI AppSec Engineers (LLM-Native, 2023–Now) Seal Security, Aikido Security, Nullify, Maze, Pixee, Corgea, Mobb, Backline AI, Inc., Kodem, ZeroPath, Amplify Security Inc., Arvion, DevArmor, LogicStar AI, depthfirst, Incribo, Symbiotic Security Why now? - Backlogs are exploding. - Exploits move in hours. - Teams can’t scale. - Boards & regulators demand faster, measurable remediation. - LLMs and AI finally make autonomous code-fixing viable. We break this down in the full article below — including: ✅ The 3 waves shaping the market ✅ What differentiates real Auto-Fixers (accuracy, autonomy, speed, fix-coverage) ✅ Why “scan → prioritise → auto-remediate” is the next AppSec paradigm 📍 Full Article: https://lnkd.in/dT2sT-Pt Building in the space? DM Aleix Pérez 📩

I’m not worried that AI will take my job next year, but I am concerned it’s encouraging some questionable habits. When we dogfood LogicStar AI, I sometimes skip the detailed explanations and just toss it a cryptic customer-reported problem. Part laziness, part testing its limits… but mostly because I enjoy seeing how far I can push it. If you want to see one of these experiments in action, here’s a short demo of LogicStar fixing a vague issue I threw at it: https://lnkd.in/d_WRzhmH

The AI coding boom is creating software failures at a rate no company is prepared for 🔍⚠️ Everyone celebrates how fast AI writes code. Almost no one talks about the hidden cost. Software is now breaking faster than humans can fix it. On Bloomberg TV Bulgaria (the premier channel for high-quality business and financial information in Bulgaria) I shared the fact that surprises many engineering leaders. Companies lose more than 400 billion dollars per year to production failures📉. More than 90 percent of those failures were already signaled in logs or monitoring, but teams never acted on them. Not because they were careless, but because the noise volume has exceeded human capacity. The uncomfortable truth is clear. AI is accelerating code creation, but it is also accelerating the rate at which systems fail. This is the crisis nobody wants to talk about 🔥. LogicStar tackles this problem at the root. Our platform enables software to repair itself. It autonomously discovers real defects, reproduces them in a sandboxed execution environment, validates candidate fixes with high precision, and ships pull requests where more than 95 percent of the work is already done 🔧. Humans stay in charge, but the failures do not wait for humans anymore. Here is the controversial part. Self healing software will matter more in the next decade than code generation itself. Independent benchmarks now show LogicStar outperforming the strongest models from OpenAI, Anthropic, Google and xAI in bug detection, test generation and validated fixes🧠⚙️. Not because we generate more code, but because we prevent code from breaking. The next evolution of AI for Code is not writing faster. It is maintaining better. It is preventing failures that drain billions. It is giving engineers time back to build ambitious products rather than fight regressions. 🛡️🧩 The most competitive companies in the coming years will be the ones whose software heals itself long before users notice anything is wrong⏱️. LogicStar is making that shift real today. #SelfHealingSoftware #AIforCode #AutonomousEngineering #SoftwareReliability #AIOps Thanks to Elena Kirilova for hosting the interview and best wishes in her most exciting chapter ahead.