OpenAI models power Parloa's voice agents as Databricks Academy Pro launches

Key Takeaways

ServiceNow Adds Veza and Armis to Boost AI Security

ServiceNow announced a major update to its AI Platform by integrating Veza and Armis to strengthen enterprise security. This new Autonomous Security and Risk platform helps manage the growing number of AI agents that act like digital employees within companies. Veza provides real-time visibility into who or what has access to systems, while Armis tracks every connected device and asset without disrupting operations. Together, these tools create a single system that governs permissions, detects vulnerabilities, and responds to threats at machine speed. The integration ensures that both human users and autonomous AI agents operate safely under strict security rules.

Webinar Explores Securing Identities for Humans and AI

A live webinar will discuss the challenges of securing identities in an era where AI and automation are expanding the digital workforce. Security teams face new risks as the number of machine identities grows faster than traditional tools can manage. The session will cover how disconnected systems create blind spots and why fragmented tools leave organizations exposed to attacks. Attendees will learn best practices for improving visibility and controlling privileged access across modern enterprise environments. KeeperPAM will demonstrate how its platform helps organizations monitor and audit access for both people and machines.

Cisco Plans to Buy Astrix Security for AI Threats

Cisco announced a planned acquisition of Astrix Security to better handle threats from AI agents and non-human identities. As AI systems automate tasks and access data, they create a new layer of risk that many companies cannot currently manage. Astrix Security specializes in discovering and securing credentials like API keys and service accounts used by these digital agents. Cisco intends to integrate this technology into its broader security ecosystem to enhance visibility and control over AI-driven activity. This move supports Cisco's strategy to build secure AI infrastructure and protect enterprises as they adopt autonomous systems at scale.

Parloa Launches Voice Agents for Customer Service

Parloa, a Berlin-based startup, has built a platform to create voice-driven customer service agents using OpenAI models. The company's AI Agent Management Platform allows businesses to design and manage these agents without writing complex code. Users define agent behavior in natural language, and the system simulates conversations to test performance before going live. Parloa works closely with OpenAI to ensure the models are fast and reliable for real-time interactions. The platform is designed to handle high-volume requests consistently, from simple routing to complex multi-step tasks.

Parloa AI Agents Mimic Human Service with OpenAI

Parloa is using OpenAI models to build voice agents that mimic human customer service interactions with high reliability. The company's platform lets non-technical teams configure agents using natural language instead of rigid coding or intent trees. Before deployment, the system simulates conversations to test the agent against realistic customer scenarios and evaluate its performance. Parloa optimizes its pipeline for low latency to ensure smooth speech-to-text and text-to-speech processing globally. The agents currently handle millions of conversations across industries like retail, travel, and insurance.

Autonomous Agents Create New Security Risk Called OpenClaw

A new security risk known as OpenClaw is emerging as autonomous agents gain direct access to sensitive data without human oversight. Traditional identity management tools were built for humans, not for these autonomous systems that can act on their own. These agents can execute complex tasks like financial transfers or data changes using API keys instead of human control. Experts recommend prioritizing automated management and using tools that can understand what an agent is asking for. Separation of duties is also crucial to prevent a single autonomous system from having too much power.

Qualys Raises Guidance and Pushes AI Security Tools

Qualys reported strong first-quarter results and raised its full-year revenue and earnings guidance for 2026. The company highlighted the success of its AI-native Risk Operations Center and a new partnership called Converge. This partnership links strong security hygiene to potential reductions in cyber insurance premiums for customers. Qualys believes its AI-enabled risk visibility can turn into tangible economic value despite competition from large cloud providers. Investors are watching to see if the company can maintain profitability while facing pressure from hyperscaler security bundles.

Databricks Unveils New AI Upskilling Subscription

Databricks launched Databricks Academy Pro to help enterprises close the growing gap in AI skills and talent. This annual subscription provides unlimited access to self-paced courses, live classes, and hands-on labs within a live Databricks environment. Users receive one certification exam voucher per year and can practice where they actually work on daily tasks. The platform scales for different organization sizes, with higher tiers offering custom portals and dedicated program managers. Databricks emphasizes that focusing on talent transformation is key to unlocking the full potential of enterprise AI.

Zscaler Stock Seen as Smart Under-the-Radar AI Buy

Zscaler is being highlighted as an under-the-radar AI stock with strong growth prospects and a market cap of around $3.5 billion. The company has a unique cloud-based security platform that provides real-time threat detection and scales easily for large enterprises. Zscaler has shown consistent positive cash flow and accelerating revenue growth over recent quarters. Its management team, led by CEO Jay Chaudhry, has a proven track record of success in the cybersecurity industry. Investors with a long-term perspective may find this small-cap stock attractive given its strong financials and competitive advantages.

Insurers Must Be Deliberate About AI Investment Strategies

Leaders from major insurance companies shared strategies for maximizing the return on AI investments during a recent webinar. Experts advise carriers to prioritize AI for business processes that can gain the most value and ensure their digital infrastructure is ready. Companies like Travelers and MassMutual are using strict due diligence to choose projects that offer clear evidence of improvement. Manulife focuses on six key themes like underwriting and virtual assistants, building solutions that work across many markets. The consensus is that insurers must be flexible about building their own tools or buying from vendors as technology matures.

Power Equipment May Be the Real AI Investment Trade

Investors are shifting focus from software to power equipment as AI data centers require massive amounts of electricity. Companies like GE Vernova and Eaton are seeing huge order growth for substations, transformers, and turbines needed to support AI infrastructure. Constellation Energy recently closed a deal to become the largest US private power producer by acquiring Calpine. This shift creates a binding constraint where power supply becomes the limiting factor for AI expansion. The Tema Electrification ETF is one fund designed to capture this trend by investing in utilities and grid equipment makers.

Apple Increases AI Spending and R&D Share

Apple has significantly increased its investment in artificial intelligence, raising its research and development spending share. In 2020, R&D expenses accounted for 6.8% of total revenue, up from 5.6% in 2019, reflecting a growing focus on AI. The company is investing heavily in areas like natural language processing, computer vision, and reinforcement learning. Apple's AI-powered products and services generated $13.4 billion in revenue in 2020, a rise from $8.3 billion the previous year. This continued investment positions Apple to remain a leader in AI innovation and machine learning applications.

OpenAI Missed Goals and Shifts AI Stock Influence

Shares of major AI stocks like Nvidia fell after reports that OpenAI missed its internal revenue and user growth goals. This reaction suggests that OpenAI and Anthropic are becoming as influential as hardware makers like Nvidia in the AI market. OpenAI has about 900 million monthly active users and estimates its revenue could reach $280 billion by 2028. Many AI software tools are built on top of models from OpenAI and Anthropic, giving them significant market power. Investors are advised to focus on fundamentals rather than panicking over short-term market noise caused by these influential companies.

Sources

• ServiceNow strengthens enterprise AI security with Autonomous Security & Risk platform
• Webinar Today: Securing Identity Across Humans, Machines and AI
• Cisco Targets Emerging AI Security Threats With Planned Acquisition of Astrix Security
• Parloa builds service agents customers want to talk to
• Parloa AI Agents Mimic Human Service
• The New Security Risk Every Business Using AI Needs to Know About (and How to Protect Yourself)
• Is Qualys' Raised Guidance And AI Security Push Altering The Investment Case For Qualys (QLYS)?
• Databricks Unveils AI Upskilling Subscription
• Got $3,000? This Under-the-Radar AI Stock Could Be the Smartest Buy You Make All Year.
• Insurers need to be deliberate about AI investments
• The Real AI Trade May Not Be Software. It May Be Power Equipment
• Apple ramps AI investment, lifts R&D share
• The 1 Thing Tech Investors Aren't Ready For -- but OpenAI Just Proved