This article from Security Week is a must read for CIOs, CISOs, and members of IT Security teams. Kindo is thrilled to have been so excellently reviewed. From the article: “WhiteRabbitNeo is an offensive security gen-AI model,” Andrew Manoske (of www.kindo.ai) told SecurityWeek. Its purpose is to allow security teams to examine their infrastructures, detect vulnerabilities that can be exploited (by developing exploits for the vulnerabilities), and provide remediations for those vulnerabilities,” explains Manoske. “To achieve this, it must be uncensored – and that makes it a dual use tool. It can equally be used by adversaries to detect vulnerabilities and automatically develop exploits.” Everyone can try out a free version at app.kindo.ai Special thanks for the insights provided by Kevin Townsend, Len Noe of CyberArk, Jason Soroko of Sectigo, Amit Zimerman of Oasis Security, and Mayuresh Dani of Qualys for their research and insights on this topic!! And, of course, a flourished bow to Migel Tissera who built WhiteRabbitNeo.
Kindo
Software Development
Connect any AI and integrate 200+ SaaS apps to create, learn and find in seconds. Compliant and secure AI for business.
About us
Introducing Kindo, the way to safely adopt and manage AI across your entire workforce. Pay only once for AI access from anywhere, in one interface. Supporting commercial, open source, and private AI models as well as 200+ SaaS integrations, Kindo elevates workforce productivity while keeping everything centralized, secure, and compliant.
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https://kindo.ai
External link for Kindo
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Los Angeles
- Type
- Privately Held
- Founded
- 2022
Locations
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Los Angeles, US
Employees at Kindo
Updates
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So we found this to be an intriguing study by Max Tegmark of the Massachusetts Institute of Technology and President of The Future of Life Institute, published by IEEE. In it, Professor Tegmark points out the objective grades of "safety" of many closed source providers of AI models. We here at www.kindo.ai constantly remind our corporate clients that we are in the very early innings of a very, very, very long ballgame. Over the next few years, if history is any guide, we can expect current leaders in the industry to stumble and maybe even fail, as new entrants will undoubtedly emerge and become victorious for various different reasons. This is why we advise our corporate clients to avoid vendor lock-in when it comes to AI models and exactly why we've built our www.kindo.ai platform to make it easy as pie for our clients to move between different models (both closed and open source) as the ground shifts under them. Do you want to use AI in your company? Do you want to do it securely? Do you want to be able to flex to all of the various different events that will clearly happen in the near and mid-term future with this new technology? If so, give us a call. We were built to manage this shift we are all experiencing.
Leading AI Companies Get Lousy Grades on Safety
spectrum.ieee.org
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Reposting this 2 month old posting because: 1) This was truly one of the most impressive 60 minutes we've experienced of watching a newbie to AI master it in order to make their lives easier 2) Accentuate the fact that AI is a technology, not a tool that's limited to doing one thing in silos. 3) Emphasize that anyone can quickly come up to speed on using AI (not AI tools) 4) Make a close-to-closing argument in 2024 that "2025 is likely the year that we see massive adoption of AI by employees and CIOs, CISOs, and IT Security teams can benefit from www.kindo.ai to help them stay ahead of this massive change in the way employees use this technology."
The Use Case That Proves AI Will Change the World: Okay -- bear with us here. This is a fairly long post, but if you stick around to the end you'll find some gold. Setting the stage: 1. We recently were on site with a new enterprise client. 2. We spent 30 minutes training several dozen employees on the basics of AI. 3. Those employees then broke out into small groups to build Agents in www.kindo.ai . They were asked to focus on building Agents that would help them in their day-to-day life. Nothing fancy...just reduce your cognitive load. A brief backgrounder on the employees: 1. All "non-technical" 2. On a scale of 0-10 of knowledge of C##, Javascript, Python, Ruby on Rails, etc. they would average 0. 3. All very smart people, just not possessing coding skillsets. 4. Most had never used AI prior to this event. What absolutely wowed us: 1. This group came up with about 10 Use Cases that they solved using Kindo; they were all impressive. We're not taking anything away from the other 9 use cases they solved. 2. HOWEVER, one particular problem and solution leapt out at us during the presentation stage of the event. AND IT FLOORED US. 3. Namely, one of these employees had a persistent problem. 2. They work for a multi-national company with several global locations. 3. This employee is responsible for keeping the snacks in all these locations, using multiple different languages, properly stocked. And they are responsible for maintaining global employee morale by responding to localized requests for legacy and new snack inventory availability at multiple locations. 4. Ignoring all the ways they have tried to solve this in the past and have failed, the bottom line is after years of process and technology efforts to improve this process, they still spend about 1 hour per week in their efforts on this front. 5. This employee used AI (and Kindo, specifically) to build an AI Agent that reduced this time to 3 minutes per week. OK...so why did this floor us?: 1. This employee was given basic training in AI....maybe 30 minutes max. 2. This employee, in the course of 20 minutes, built an Agent in Kindo that saves them approximately 1 hour per week for infinity. (Talk about ROI) 3. They built it themselves. 4. They used multiple different LLMs and features in the Kindo platform to do it. Image to text, text to text, inclusion of contextual knowledge in the form of one-shot training via prompting, etc. (sorry...nerding out here....) Why does this matter?: 1. This employee now has access to secure AI, and a basic understanding of how to use it. 2. They have greatly reduced their workload in this task area, leaving them all that extra time to do higher-reasoning work. 3. They built this particular use case in 20 minutes...one can only assume that they'll build dozens more in the coming months that will result in similar ROI in other areas of their work. 4. Imagine what this means when the several thousand employee base of this company does the same thing.
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Appreciate the shout out, Cybersecurity Solutions Review! We are here to help.
Stay on top of #EndpointSecurity and #NetworkMonitoring news from the week of December 20th with this round-up of announcements from Appdome, Arctic Wolf / BlackBerry, Aviatrix, Kindo, and NETSCOUT. #endpoint #netmon #cybersecurity #cybersecuritynews #newsroundup #appdome #arcticwolf #blackberry #aviatrix #kindo #netscout
Endpoint Security and Network Monitoring News for the Week of December 20th: NETSCOUT, Arctic Wolf, Kindo, and More
Cybersecurity Solutions Review on LinkedIn
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CIOs, CISOs, and IT Security teams are struggling with the proliferation of Shadow AI by their employee bases. www.kindo.ai was built to give companies the ability to leverage the power of AI but all wrapped up in a nice, warm security blanket. Give us a call. We can help.
Bosses struggle to police workers’ use of AI
ft.com
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Kindo reposted this
The best day ever!! If you missed it, Cyber Bytes Foundation hosted the most wonderful Show Us Your Tech event today. With 20 vendors and too many attendees to count, this event was the place to be. Make sure to come to the next one! Dates to come. Special thanks to Tom Bendien for bringing my favorite White Rabbit!! 🩷 #showusyourtech #cbne #cyberbytesnetworkingevent
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One of the best things about the holiday season is it gives us the opportunity to gather together as a team and celebrate the hard work and successes of the previous 12 months. www.kindo.ai got together for our 2nd Annual Holiday Party last night. Though not everyone was able to join, it was wonderful that we were able to gather as a team/family in Los Angeles. Thank you to everyone for all of your inspiration and hard work in 2024. Looking forward to crushing it again in 2025! Larry Osakwe, Ron Williams, Bryan Vann, James Pope, Jeffrey Sefa-Boakye, Hannah Bernstein, Mo Nezarati, Andrew Manoske, Dennis Duckworth, Dean Gebert, Tiffany Long, Henry Plant VI, ken kato, Rob Schult, Tony Wong, Yeunha Kim, Hyun Jii C., Nick Rackauckas, Brandon Choe, Joshua Aymett
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So this is a pretty amazing video from our partner GT Edge AI (provided to us by their CEO Tom Bendien). It demonstrates the power of using Kindo AI in code development and security. 1: convert code from Java 8 to Java 17 with a 97% reduction in time 2: convert code from Python 2.6 to 3.11 with a 99% reduction in time 3. convert code from COBOL to Java 17 with a 98% reduction in time 4: identify vulnerabilities in code using WhiteRabbitNeo AI 5: Patch those vulnerabilities using a different AI model (we'd recommend www.whiterabbitneo.com, but this video demonstrates Claude's capabilities...) 6: Human developers get step-by-step guidance for QA on the new code based on company-specific guidelines We are thrilled to have partnered with GT Edge AI to provide these amazing capabilities to CIOs, CISOs, IT Security Teams, CTOs, and Software Development Teams. Get in touch. We are here to help.
Code Transformation and Accelerating CMMC Compliance with AI
https://www.youtube.com/
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CIOs, CISOs, and IT Security Teams take note, please. tl;dr sec 's Maya Kaczorowski has a great article on IT security and she specifically calls out www.kindo.ai as an excellent way for you to get your hands around AI usage by your employees. We can actually also help you with AI agents built to be tied in to your software development, IT infrastructure hardening, and automatic remediation of cyber alerts currently handled by humans via our extensive integrations with ticketing systems. Give us a call...we are here to help!
What sucks in security? Research findings from 50+ security leaders
tldrsec.com
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Great insights here from Lewis Walker ➲ on Deloitte ‘s recent GenAI paper. Of particular note Lewis Walker calls out the following 2 key findings from the paper that accentuate why www.kindo.ai is the solution for deploying, maintaining, and auditing AI within your company: “8\ Don’t get locked in The organisation should assess if the contract locks them into the GenAI vendor, through long terms, minimum volume commitments, unfavourable termination rights, or lack of exit support. 9\ Keep cybersecurity in mind Organisations procuring GenAI systems should address both GenAI-specific and general IT risks. The organisation may need to delegate obligations to the vendor or rely on their support to meet certain regulatory requirements.” If you’re a CIO, CISO, or member of an IT Security Team, we’d love to introduce ourselves to you.
Don't get locked in. Deloitte Legal explores this and other key risks to address in contracts when procuring GenAI systems from vendors (see page 9): 1\ Be cautious of data privacy Clearly define data processing scope, limit it to what’s necessary, and allocate security and compliance responsibilities between the GenAI provider and the deploying organisation. Involve privacy officers early. 2\ Avoid the negative consequence of unlawful training data Understand the GenAI training data. If not publicly available, request details with contractual assurances about its provenance from the vendor. Consider requiring indemnity for breaches or third-party claims. 3\ Make sure your data is not misappropriated Clearly define what the GenAI vendor can do with inputs and outputs, ensuring alignment with intended use cases and data permissions. The vendor should also implement measures to restrict unauthorized access to inputs and outputs. 4\ Do not let costs get out of hand To maintain cost efficiency in GenAI procurement, it is important to consider long-term price stability and minimum volume commitments in a rapidly evolving market. 5\ Keep an eye on interdependencies with sector regulation Consider including clauses requiring vendors to support ongoing compliance with sector-specific legal and regulatory obligations, including regular audits, updates, and transparent communication. 6\ Liability Allocate risks (both internal and external) and responsibilities between parties through indemnities, warranties, and liability caps, including any third-party impacts, such as on end customers. 7\ Check your Environment, Social and Governance (ESG) policies Review your ESG policies and incorporate them where relevant into the GenAI contract, either directly or by reference. Account for their evolution throughout the contract’s duration. 8\ Don’t get locked in The organisation should assess if the contract locks them into the GenAI vendor, through long terms, minimum volume commitments, unfavourable termination rights, or lack of exit support. 9\ Keep cybersecurity in mind Organisations procuring GenAI systems should address both GenAI-specific and general IT risks. The organisation may need to delegate obligations to the vendor or rely on their support to meet certain regulatory requirements. Deloitte's 25-page report also covers managing GenAI risks in the supply chain, the EU AI Act’s impact on GenAI contracts, and putting theory into practice (see page 23). P.S. Report below & linked in comments. --- ♻️ Repost to help your network level up! 📌 Want more enterprise insights like this? Get on the list: https://lnkd.in/eJ6QQeru