Cognyte Secures $20 Million Expansion for AI-Driven National Security Analytics
The expansion introduces agentic decision flows to bolster investigative capabilities for a national security agency in the EMEA region.

San Francisco — Google has once again thrown down the gauntlet in the fiercely contested arena of artificial intelligence, unveiling the next generation of its Gemini model.
This isn’t just another incremental update; it’s a bold declaration of intent, aiming to transform its ubiquitous search engine into nothing less than a “thought partner” for billions.
The stakes could not be higher, as Google navigates a landscape reshaped by generative AI and the competitive pressures it has unleashed.
The Gemini 3 model, revealed this week, arrives nearly two years after Google first introduced the technology as a direct response to OpenAI’s ChatGPT.
That late 2022 debut was, by many accounts, the biggest technological tremor since Apple’s iPhone fundamentally altered our relationship with the digital world in 2007.
Now, Google is betting big that Gemini 3 will not only keep it ahead in the AI arms race but redefine how we interact with information itself.
Initially, the advanced AI features will be rolled out to Gemini Pro and Ultra subscribers in the United States, a familiar strategy for tech giants testing the waters before a wider global release.
At its core, Gemini 3 promises a new AI “thinking” feature within Google’s search engine, a tool company executives believe will become indispensable, fostering greater productivity and creativity.
Koray Kavukcuoglu, a Google executive overseeing Gemini’s technology, articulated this grand vision to reporters: “We like to think this will help anyone bring any idea to life.”
Yet, the ascent of increasingly sophisticated AI models has not been without its shadows.
The very capabilities that promise enlightenment also raise significant concerns about the technology’s propensity to mislead, to jumble human feelings and thoughts, and even to offer fawning flattery that obscures truth.
There have been disturbing allegations of AI chatbots acting as “suicide coaches” for vulnerable teenagers, triggering a wave of negligence lawsuits against AI developers.
While Gemini has not yet been named in such legal actions, the broader industry faces intense scrutiny.
Google executives are quick to reassure, asserting that Gemini 3 has been built with robust guardrails designed to prevent hallucinations or deployment for nefarious purposes like hacking.
According to Kavukcuoglu and Demis Hassabis, CEO of Google’s DeepMind division, Gemini 3’s responses are engineered to be “smart, concise and direct, trading cliche and flatter for insight — telling you what you need to hear, not just what you want to hear.
It acts as a true thought partner.”
This is a laudable goal, suggesting a commitment to substance over superficiality, but the real-world application of such lofty ideals will be the true test.
Beyond its utility to individual users, Gemini 3 also serves as a critical barometer for investors.
The sheer torrent of capital expenditure flowing into AI across Big Tech is staggering.
Google’s parent company, Alphabet, recently hiked its capital expenditure budget from an initial $75 billion to between $91 billion and $93 billion for the year, with the lion’s share earmarked for AI initiatives.
Competitors like Microsoft, Amazon, and Meta Platforms are making similarly colossal investments.
So far, investor enthusiasm has largely matched the spending, propelling the market values of Alphabet and its peers to unprecedented highs.
Alphabet’s market value, now hovering around $3.4 trillion, has more than doubled since the first Gemini iteration appeared in late 2023.
While Alphabet shares saw a slight uptick following the Gemini 3 announcement, these sky-high valuations inevitably amplify fears of an investment bubble, reminiscent of dot-com era exuberance, that could eventually burst and drag down the broader market.
The race for AI supremacy is indeed speeding ahead.
OpenAI released its fifth generation of ChatGPT’s underlying technology in August, roughly concurrent with Anthropic’s next version of Claude.
Both, like Gemini, are adept at conversational queries on complex topics, positioning them as powerful “answer engines” that could fundamentally alter humanity’s reliance on Google’s traditional search paradigm.
Google has been proactive in countering this existential threat.
In 2023, it began embedding Gemini’s technology into its search engine to generate detailed “AI Overviews.”
Earlier this year, an even more conversational “AI mode” was introduced.
These innovations have, perhaps inevitably, led Google to de-emphasize the traditional rankings of relevant websites in its search results.
This shift has drawn criticism from online publishers who lament the diminishing visitor traffic that underpins their operations through digital advertising revenue.
It’s a stark reminder that technological progress, while often celebrated, can have significant collateral damage for established industries.
Despite these concerns, Google reports impressive adoption: AI Overviews are now utilized by over 2 billion people monthly, while the standalone Gemini app boasts around 650 million monthly users.
The latest enhancement, the “thinking” option within the search engine’s AI mode, promises even more in-depth answers.
While initially exclusive to Gemini Pro and Ultra subscribers, the Mountain View-based giant plans to eventually make it available to all, completing its vision of a pervasive, intelligent search experience.
As Google pushes the boundaries of AI, it embarks on a journey fraught with both immense promise and profound challenges.
The “thought partner” it envisions could revolutionize how we learn, work, and create.
But the path is littered with ethical dilemmas, economic disruptions, and the ever-present risk of unintended consequences.
Gemini 3 is more than just a new product; it’s Google’s latest, high-stakes wager on the future of information itself.
The expansion introduces agentic decision flows to bolster investigative capabilities for a national security agency in the EMEA region.
Zoho founder Sridhar Vembu warns that companies must prioritize data sovereignty by building internal AI models to protect sensitive intellectual property.
Cities are deploying artificial intelligence on sanitation vehicles to monitor private property, raising complex questions about the future of urban privacy and municipal oversight.