Zscaler Acquires Red Canary, Outreach Updates AI Sales Platform, and More

The technology industry has seen significant advancements and investments in artificial intelligence (AI) recently. Zscaler has announced its intention to acquire Red Canary, a company specializing in Managed Detection and Response services, to boost its security offerings. Meanwhile, Outreach has updated its AI Sales Execution Platform to enable revenue teams to leverage AI agents and improve revenue strategies. In the cryptocurrency space, BingX is integrating AI into its platform to make crypto more accessible, while Tether is venturing into open-source AI and decentralized infrastructure. Amazon's AI leader believes that junior coders have the most to gain from AI, which is leveling the playing field between junior and veteran developers. A10 Networks has unveiled new AI firewall capabilities to protect AI large language models, and Huawei's Supernode 384 architecture has made a breakthrough in AI computing, challenging Nvidia's market dominance. OpenAI has been shaping the future of AI for over a decade, and Carnegie Mellon University is training a next generation of data and AI leaders through its Chief Data and AI Officer program.

Key Takeaways

  • Zscaler is acquiring Red Canary to enhance its security offerings with AI, automation, and human expertise.
  • Outreach has updated its AI Sales Execution Platform to improve revenue strategies and team productivity.
  • BingX is integrating AI into its cryptocurrency exchange platform to make crypto more accessible.
  • Tether is venturing into open-source AI and decentralized infrastructure with its QVAC platform.
  • Amazon's AI leader believes that junior coders have the most to gain from AI, which is leveling the playing field between junior and veteran developers.
  • A10 Networks has unveiled new AI firewall capabilities to protect AI large language models.
  • Huawei's Supernode 384 architecture has made a breakthrough in AI computing, challenging Nvidia's market dominance.
  • OpenAI has been shaping the future of AI for over a decade with its advancements in deep learning and reinforcement learning.
  • Carnegie Mellon University is training a next generation of data and AI leaders through its Chief Data and AI Officer program.
  • The technology industry is seeing a convergence of roles, with data and AI leaders expected to work together to orchestrate digital transformation.

Zscaler Acquires Red Canary

Zscaler has announced its intention to acquire Red Canary, a company known for Managed Detection and Response services. The acquisition aims to boost Zscaler's ability to integrate artificial intelligence, automation, and human expertise into its security offerings. Red Canary's decade of operational expertise in MDR will be combined with Zscaler's data-driven, AI-centric cloud security. The acquisition is expected to close in August 2025, subject to regulatory approvals.

Zscaler Buys Red Canary

Zscaler has signed a definitive agreement to acquire Red Canary, combining the cloud security platform provider's data capabilities with the managed detection and response specialist's threat hunting expertise. The acquisition brings together Zscaler's processing capacity of 500 billion daily transactions with Red Canary's track record of investigating threats up to 10 times faster with 99.6% accuracy. The deal is expected to close in August 2025, subject to regulatory approvals.

Outreach Innovates AI Sales

Outreach has announced new features in its AI Sales Execution Platform, enabling revenue teams to leverage AI agents and build for the future. The platform provides tools for designing, executing, and continuously improving revenue strategies. Outreach has also released new features in conversational intelligence, sales engagement, account management, and forecasting workflows, allowing organizations to consider consolidating their tech stack to one platform.

Outreach Enhances AI Sales

Outreach has updated its AI Revenue Agents to supercharge revenue teams by targeting ideal prospects and customers with hyper-personalized engagement. The AI Revenue Agent enhancements harness the power of Outreach's Data Cloud to provide revenue leaders with data and AI-driven insights to optimize productivity and pipeline across the entire revenue cycle. The company has also released new features in conversational intelligence, sales engagement, account management, and forecasting workflows.

BingX Integrates AI

BingX, a cryptocurrency exchange, is integrating AI into its platform to make crypto more accessible to everyone. The company has launched BingAI, an AI-powered trading assistant that provides real-time market briefings, trend forecasts, and trade analysis. BingAI also includes a Pro Trader Recommender feature, which suggests expert traders to follow based on individual risk profiles and goals. The company plans to invest $300 million in AI over the next three years.

Tether Invests in AI

Tether, the company behind USDT, is venturing into open-source artificial intelligence and decentralized infrastructure. The company has announced QVAC, a privacy-preserving, decentralized AI platform that runs entirely on local devices. QVAC aims to put users back in charge of their data, computation, and autonomy. Tether plans to launch QVAC later this year, with a special emphasis on universities and small businesses.

Amazon AI Leader Optimistic

Rory Richardson, director of go-to-market for generative AI at Amazon Web Services, believes that junior coders have the most to gain from AI. She says that AI is leveling the playing field between junior and veteran developers, making it easier for early-career developers to learn and contribute. Richardson sees the biggest shift coming for newcomers rather than veteran developers, and believes that AI will change what entry-level developers do, rather than replacing them.

A10 Networks Unveils AI Firewall

A10 Networks has announced new AI firewall capabilities that can be deployed in front of APIs or URLs that expose large language models. The capabilities protect AI LLMs at high performance and can be deployed in any infrastructure as an incremental security capability. A10 is also delivering high performance and resilience for AI and LLM-enabled applications, and has introduced predictive performance capabilities to help identify near-term congestion or capacity deficiencies.

Huawei Challenges Nvidia

Huawei's Supernode 384 architecture has made a breakthrough in AI computing, challenging Nvidia's market dominance. The Supernode 384 abandons traditional server architectures in favor of a peer-to-peer architecture engineered specifically for modern AI workloads. The system has achieved impressive performance metrics, delivering 2.5 times superior performance compared to traditional cluster architectures. Huawei has operationalized CloudMatrix 384 systems in multiple Chinese data centers, validating the architecture's viability.

OpenAI's History

OpenAI has been shaping the future of artificial intelligence for over a decade. Founded in 2015 by Sam Altman, Elon Musk, and others, the company started as a non-profit organization with the goal of advancing digital intelligence in a way that benefits humanity. OpenAI has made rapid strides in deep learning and reinforcement learning, and has released several AI tools, including ChatGPT, Dall-E, and Codex. The company has also transitioned to a 'capped-profit' model, allowing investors to get a capped return on their investment.

Carnegie Mellon Trains AI Leaders

Carnegie Mellon University is training a next generation of data and AI leaders through its Chief Data and AI Officer program. The program, which was launched in 2020, has trained over 250 data and AI leaders and has grown significantly in scope and impact. The program prepares leaders to navigate the full spectrum of AI-driven transformation, including generative AI, data ethics, and change management. The university has also seen a convergence of roles, with the CDO, CDAIO, and CIO expected to work together to orchestrate digital transformation.

Sources

AI Artificial Intelligence Machine Learning Deep Learning Reinforcement Learning Cloud Security Cybersecurity