LTM Partners with Anthropic to Accelerate Claude Adoption and Expand Enterprise Delivery

• Claude and Claude Code embedded into LTM BlueVerse™ AI Delivery Fabric to power AI-led transformations

LTM, the Business Creativity partner to the world's largest enterprises, today announced a partnership with Anthropic, the frontier AI company behind Claude, to accelerate enterprise-scale adoption of Claude, Claude Code and Claude Cowork across engineering, modernization, and business workflows.

LTM will combine Claude, Claude Code and Claude Cowork with its enterprise implementation expertise to help clients move from pilots to production with market-leading productivity, throughput, quality underscored by assurance and transparency. LTM will specifically bring this expertise and capability to BFSI, Hi-Tech, Consumer and Production Industry domains.

The three strategic focus areas of partnership include:

1. LTM BlueVerse™: AI Delivery Fabric: LTM BlueVerse AI Delivery Fabric will serve as the enterprise implementation layer for Claude adoption, integrating Claude and Claude Code into delivery workflows across AI-led software engineering, application modernization, agent orchestration, Site Reliability Engineering (SRE), Observability, and Chaos Engineering
2. LTM AI1000: Talent Enablement program: LTM will also scale its AI1000 initiative to train and deploy thousands of Claude-certified architects and Forward Deployed Engineers (FDEs) who can work with clients from assessment and architecture through assessment, implementation, and continuous improvement.
3. Claude Center of Excellence (CoE): LTM will establish a dedicated Center of Excellence (CoE) for Claude as the partnership's scale engine – to build reusable Skills, agentic MVPs, reference architectures, and playbooks spanning cloud-native and platform-based applications. The CoE will provide governance backbone across responsible use, agent lifecycle, model governance, and data-privacy/residency compliance. It will also keep delivery aligned with Claude's evolving capabilities.

"LTM brings delivery expertise, trained people, and long-standing client relationships across industries, and their customers want to embed Claude into the systems they rely on. LTM is embedding Claude and Claude Code in BlueVerse, bringing trusted frontier AI technology to the center of how they do what they do best - help their clients build, modernize, and run their software," said Chris Ciauri, Managing Director of International, Anthropic.

“LTM helps clients accelerate AI adoption and translate AI investments into measurable business outcomes through our partnership with Anthropic. Combining Claude with LTM’s BlueVerse ecosystem, deep domain expertise, technology capabilities, and AI1000 talent initiative creates a powerful foundation for enterprises to embed AI across their business and modernize at scale,” said Venu Lambu, CEO and Managing Director, LTM.

The partnership will include joint go-to-market initiatives focussed on measurable business outcomes. LTM will also scale internal adoption by embedding Claude, Claude Code, and Claude Cowork into its delivery model to establish consistent adoption patterns and market-leading productivity benchmarks across the SDLC, with autonomous learning feedback into the Claude CoE and BlueVerse ecosystem.

About LTM

LTM — a Larsen & Toubro Group Company — is an AI-centric global technology services company and the Business Creativity partner to the world’s largest enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM owns outcomes for our clients, helping them not just outperform the market, but Outcreate it. Read more at LTM.com.

Wipro Advances Enterprise AI Leadership with an Applied AI CoE for Claude Models, Powered by Anthropic

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• Leveraging Wipro Intelligence™ to deliver business outcomes with Anthropic’s Claude models through repeatable delivery methodologies and enterprise-grade execution.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading AI-powered technology services and consulting company, today announced the launch of its Applied AI Center of Excellence (CoE) for Claude models powered by Anthropic, reinforcing its commitment to accelerating enterprise AI impact. The CoE was inaugurated at its Bengaluru innovation hub, and is a key initiative under the newly formed AI-Native Business & Platforms Unit.

The CoE strengthens Wipro’s ability to scale enterprise AI adoption using Claude models. These capabilities are integrated across the Wipro Intelligence™ stack – including delivery, functional, and industry platforms, to embed AI into core business workflows across industries.

Wipro has been building a global talent pool of Forward Deployed Engineers (FDEs) trained on Claude models, with a deep understanding of model behaviour and real-world application. These engineers operate within client environments, combining knowledge of business processes and technology landscapes with hands-on model expertise. The objective is to accelerate AI integration into workflows and deliver clear, measurable outcomes, reflecting a ‘proof over promise’ approach that underpins Wipro’s AI strategy.

The Applied AI CoE for Claude also serves as a hub to accelerate the development of AI-native platforms and industry solutions across Mortgage, Healthcare, Airlines, Manufacturing and Consumer sectors. Claude models are embedded into Wipro’s platforms to enable co-innovation with clients in live environments, while also scaling AI adoption across Wipro’s own Finance, HR, and Sales functions as part of its internal transformation.

A key differentiator in Wipro’s enterprise AI strategy is the certification of 10,000 Front-Line Delivery Experts on their use of Claude over the next 18 months. This program is designed to build a strong base of practitioners capable of designing, deploying, and operating AI-enabled systems in complex enterprise environments.

Wipro is strengthening its enterprise AI leadership with the Applied AI Center of Excellence for Claude models, powered by Anthropic, said Srini Pallia, Chief Executive Officer and Managing Director, Wipro Limited. This marks a fundamental shift in how we deliver, and advances our strategy of being consulting-led and AI-powered. By combining the power of Claude models with our deep domain and enterprise expertise, we are driving measurable business outcomes for our clients. Embedding Forward Deployed Engineers within client environments, alongside integrating AI across our own operations, enables us to accelerate enterprise-scale adoption with a clear focus on business value.

This CoE is a significant step in Wipro’s journey to operate as an AI-native enterprise, bringing together platform integration, deep model expertise, and embedded delivery to help clients adopt AI at scale and unlock its full potential.

About Wipro Limited

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading AI-powered technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our consulting-led approach and the Wipro Intelligence™ unified suite of AI-powered platforms, solutions and transformative offerings, we help clients realize their boldest ambitions to build intelligent and sustainable businesses. The Wipro Innovation Network – part of the Wipro Intelligence™ suite – underpins our commitment to client-centric co-innovation and co-creation by bringing together capabilities from the innovation labs and partner labs, academia, and global tech communities. With over 240,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

US Military Using Anthropic's Claude to Select Targets in Iran Strikes

The recent revelation that the U.S. military employed Anthropic’s Claude AI to assist in target selection during strikes on Iran has ignited a global debate about the role of artificial intelligence in warfare. The decision came just hours after President Donald Trump announced a government-wide ban on Anthropic’s tools, underscoring a sharp disconnect between political directives and military operations.

Claude’s Role in the Iran Strikes

• Operational Use: Claude was reportedly deployed by U.S. Central Command (CENTCOM) to conduct intelligence assessments, target identification, and combat scenario simulations.
• Timing Conflict: The strikes occurred immediately after Trump’s ban, raising questions about enforcement and chain-of-command discipline.
• Coalition Context: The AI-assisted strikes were part of a joint U.S.–Israeli campaign, which has already drawn criticism due to civilian casualties, including the bombing of an elementary school.
• Precedent: This is not the first time Claude has been used in combat. Earlier this year, it reportedly supported operations during the raid to capture Venezuelan President Nicolás Maduro.

Claude features used by the US Military

Based on credible reporting, the U.S. military has been using specific features of Anthropic’s Claude AI during its recent strikes in Iran. These features are not consumer-facing tools like chat assistance, but rather operational capabilities adapted for defense use:

Claude Features in Military Use

• Intelligence Analysis: Claude was tasked with processing large volumes of battlefield and surveillance data to generate actionable insights.
• Target Identification: The AI helped flag potential strike targets by correlating intelligence inputs, satellite imagery, and sensor data.
• Combat Scenario Simulations: Claude ran predictive models to simulate possible outcomes of different strike strategies, giving commanders decision-support in real time.
• Operational Support: Reports suggest it was used to streamline battlefield communications and prioritize mission-critical information. 

These deployments occurred under U.S. Central Command (CENTCOM), despite President Trump’s government-wide ban on Anthropic’s tools. Notably, Claude had previously reported to be used in other operations, such as the raid to capture Venezuelan President Nicolás Maduro earlier this year.

The Pentagon has not disclosed the full technical details, but sources confirm these core functions were central to its role in the Iran strikes.  

Global AI Militarization

Country	Key Military AI Applications	Notable Details
United States	Target recognition, autonomous drones, logistics optimization, cyber defense	Pentagon invests heavily via DARPA and the Joint Artificial Intelligence Center.
China	Surveillance, autonomous weapons, decision-support systems	Central to Beijing’s concept of “intelligentized warfare.”
Israel	Targeting, missile defense, battlefield analytics	AI powers Iron Dome and precision targeting in conflicts.
France	Decision-making support, robotics, cyber operations	Balances scaling AI with ethical frameworks.
India	Surveillance, border security, drone swarms	Experimenting cautiously while engaging in global AI diplomacy.
Russia	Autonomous vehicles, electronic warfare, predictive analytics	Testing AI-driven drones and robotic combat systems.
United Kingdom	Intelligence analysis, logistics, autonomous systems	MOD strategy emphasizes operational efficiency.
Turkey	Drone warfare, surveillance	Bayraktar drones use AI for targeting and navigation.

Ethical and Political Tensions

• Civilian Risk: AI-driven targeting raises fears of misidentification and collateral damage, especially in dense civilian areas.
• Accountability: Who bears responsibility when an AI system contributes to a lethal decision—the developer, the military operator, or the government?
• Policy vs. Practice: Trump’s ban highlights the difficulty of enforcing political directives in real-time military contexts.
• International Law: The use of AI in warfare challenges existing frameworks under the Geneva Conventions, which were not designed for autonomous or semi-autonomous decision-making systems.

The Bigger Picture

The U.S. military’s reliance on Claude illustrates a broader trend: AI is no longer a futuristic concept in warfare—it is here, shaping decisions on the battlefield today. As more nations deploy AI for surveillance, targeting, and cyber defense, the urgency of establishing global norms and ethical guardrails grows stronger.

5paisa Taps Claude AI to Launch MCP for Seamless, AI-Led Trading

5paisa Capital, one of India’s leading discount broking firms, has officially launched its Model Context Protocol (MCP). This framework integrates Claude, a state-of-the-art large language model (LLM), with 5paisa’s internal APIs. This launch represents a strategic integration aimed at enhancing user experience and brings AI-powered trading capabilities to 5paisa users. With MCP, 5paisa users can now perform a wide range of trading tasks — from placing orders and analyzing market data to backtesting strategies — simply by interacting with Claude via natural language. This rollout aligns with 5paisa’s vision to simplify advanced trading tools for everyday investors.

With the MCP, users can now harness the power of cutting-edge LLMs to make more informed trading decisions using real-time market data and their own custom datasets. By enabling intelligent prompt-based trading through 5paisa XStream Open APIs, MCP empowers users to bring any data source — be it weather, crop yield, or macroeconomic indicators — into the decision-making process for personalized stock market analysis.

“We believe the future of investing lies in empowering users with intelligent tools that are not just data-driven, but context-aware. Model Context Protocol is our answer to the growing need for adaptive AI in financial decision-making,” said Gaurav Seth, MD & CEO, 5paisa Capital. “With MCP, even non-coders can now interact with complex datasets and advanced trading strategies through natural language — truly putting the power of institutional-grade analytics into the hands of everyday investors.”

Key Features of 5paisa MCP

• AI-enabled Trading Assistant: Built-in support for Claude LLM, with plans to support additional AI models soon.
• Prompt-Based Interface: No coding knowledge required — simply type commands like “Backtest my breakout strategy from Jan 2021 to Dec 2022”.
• Custom Data Integration: Users can include external context (e.g., climate data, economic forecasts) for enhanced decision-making.
• Encrypted & Private: All data shared is encrypted during transit; users retain full control of data sharing.
• Free for Existing Users: MCP is available at no additional cost to all current 5paisa account holders.
• Cross-Platform Support: Available on Windows, Mac, and Linux via Claude Desktop.

The MCP assistant can also be used without logging in for general information and market research. However, advanced trading features and account-linked capabilities will remain exclusive to authenticated users.

This launch reinforces 5paisa Capital’s commitment to offering the most innovative, accessible, and secure trading solutions in the Indian financial landscape. MCP is now live and accessible via the desktop and web application for all 5paisa customers.

5paisa Capital is India’s leading digital-first discount broker, offering cost-effective and technology-driven financial services to retail investors. With a mission to democratize investing, 5paisa continues to innovate at the intersection of finance and technology, delivering seamless trading, investing, and wealth management solutions to millions across the country.

New Trick Breaks AI Safeguards—ChatGPT, Claude, Gemini All Vulnerable

Experts Discover Vulnerability in AI Chatbots Like ChatGPT & Claude

Security researchers have discovered a new jailbreak technique that can bypass safety guardrails across major AI models, including ChatGPT, Claude, and Gemini. The exploit, developed by AI security firm HiddenLayer, uses a combination of policy file formatting, roleplaying, and leetspeak to trick AI into generating harmful content.

Jailbreaking, in the context of AI, refers to techniques used to bypass the safety guardrails built into AI models. These guardrails are designed to prevent AI from generating harmful, unethical, or restricted content. Jailbreaking allows users to manipulate AI into ignoring these restrictions, often through cleverly crafted prompts.

The method envisaged by the team at AI firm HiddenLayer, called the "Policy Puppetry Attack", allows attackers to rewrite prompts in a way that AI models interpret as legitimate instructions, bypassing their safety alignments. Researchers found that a single universal prompt could be used across multiple models —  including Google's Gemini 2.5, Anthropic's Claude 3.7, and OpenAI's 4o. —without modification, making it alarmingly easy to exploit.

The implications are significant, as AI companies continue to struggle with securing their models against such vulnerabilities. HiddenLayer argues that additional security tools and detection methods are needed to prevent misuse.

The "Policy Puppetry Attack" exploits AI models by combining three techniques.

1. Policy File Formatting: The prompt is structured like a configuration file (e.g., XML or JSON), which AI models interpret as override instructions rather than user input. This tricks the model into bypassing its safety protocols.
2. Roleplaying Misdirection: The prompt sets up a fictional scenario, such as a TV script, where the AI "acts" as a character needing to generate restricted content. This roleplaying layer bypasses ethical constraints.
3. Leetspeak Encoding: Harmful requests are encoded in leetspeak (e.g., "3nr1ch 4nd s3ll ur4n1um"), bypassing keyword filters while remaining readable to the model.

This method works universally across major AI models, exploiting their shared vulnerabilities. It's a stark reminder of the challenges in securing AI systems.

Ethical Concerns

This jailbreak method raises serious ethical concerns. It undermines the safety measures designed to prevent AI from generating harmful or inappropriate content, potentially enabling misuse for malicious purposes. For instance, attackers could exploit AI to spread misinformation, create harmful instructions, or even facilitate illegal activities.

It also highlights the responsibility of developers to ensure robust security and ethical safeguards in AI systems. If these vulnerabilities are exploited, it could erode trust in AI technologies and harm individuals or communities. The ethical dilemma lies in balancing innovation with accountability—how do we advance AI while ensuring it doesn't become a tool for harm?