Latest news with #Codex
Techday NZ
3 days ago
- Business
- Techday NZ
CrowdStrike & OpenAI enhance SaaS security with AI agent oversight
CrowdStrike has announced a new integration with OpenAI aimed at improving security and governance for AI agents used throughout the software-as-a-service (SaaS) landscape. The company's Falcon Shield product now features integration with the OpenAI ChatGPT Enterprise Compliance API, providing the ability to discover and manage both GPT and Codex agents created within OpenAI's ChatGPT Enterprise environment. This expansion supports more than 175 SaaS applications, addressing the increasing use of agentic AI in business operations. AI and the expanding attack surface As enterprises leverage AI agents to automate workflows and increase efficiency, the number of such agents is rising rapidly. CrowdStrike highlighted that while these agents deliver operational benefits, they also introduce new security challenges. Organisations may struggle to monitor agent activities, understand the data and systems these agents can access, and determine who is responsible for creating or controlling them. Autonomous AI agents frequently operate with non-human identities and persistent privileges. If a human identity associated with such an agent is compromised, there is potential for adversaries to use the agent to exfiltrate data, manipulate systems, or move across key business applications undetected. The proliferation of these agents increases the attack surface and can significantly amplify the impact of a security incident. Enhanced visibility and governance Falcon Shield's new capabilities are intended to help organisations address these risks by mapping each AI agent to its human creator, identifying risky behaviour, and aiding real-time policy enforcement. When combined with the company's Falcon Identity Protection, CrowdStrike's platform aims for unified visibility and protection for both human and non-human identities. "AI agents are emerging as superhuman identities, with the ability to access systems, trigger workflows, and operate at machine speed," said Elia Zaitsev, chief technology officer, CrowdStrike. "As these agents multiply across SaaS environments, they're reshaping the enterprise attack surface, and are only as secure as the human identities behind them. Falcon Shield and Falcon Identity Protection help secure this new layer of identity to prevent exploitation." Key features of the Falcon Shield integration include the discovery of embedded AI tools such as GPTs and Codex agents across various platforms, including ChatGPT Enterprise, Microsoft 365, Snowflake, and Salesforce. This is designed to give security teams increased visibility into AI agent proliferation within an organisation's digital environment. Accountability and threat containment The integration links each AI agent to its respective human creator. According to CrowdStrike, this supports greater accountability and enables organisations to trace access and manage privileges using contextual information. Falcon Identity Protection works alongside these capabilities to further secure human identities associated with AI agent activity. CrowdStrike stated that the system is capable of analysing identity, application, and data context to flag risks such as overprivileged agents, GPTs with sensitive abilities, and any unusual activity. Threats can be contained automatically using Falcon Fusion, the company's no-code security orchestration, automation, and response (SOAR) engine, which can block risky access, disable compromised agents, and trigger response workflows as required. Unified protection approach The product suite combines Falcon Shield, Falcon Identity Protection, and Falcon Cloud Security to provide what the company describes as end-to-end visibility and control over AI agent activity, tracking actions from the person who created an agent to the cloud systems it is able to access. Organisations using agentic AI in their operations are being encouraged to consider tools and approaches that not only monitor the agents themselves but also strengthen oversight of the human identities behind these digital entities.
Time of India
3 days ago
- Business
- Time of India
Why Mira Murati, ex-CTO of OpenAI, doesn't chase hype—and what we can learn from that
In an age where tech leaders launch companies with press tours and promises of disruption, Mira Murati took a different route. The former CTO of OpenAI , known for helping develop ChatGPT and DALL·E, quietly stepped away in September 2024. Months later, she resurfaced, not with a media blitz, but with a new AI startup built on a rare quality in Silicon Valley: restraint. As reported by Wired, Murati and her entire team rejected billion-dollar offers from Meta's new Superintelligence Lab. The story made headlines not just because of the money involved, but because it revealed something deeper, Murati was prioritizing long-term vision and team integrity over fast wins and fame. Who is Mira Murati? Murati began her career in aerospace before moving to Tesla, where she worked on the Model S and Model X electric cars. She then led engineering at Leap Motion before joining OpenAI in 2018. Over the next six years, she became one of the most influential figures in AI, steering development on major tools like ChatGPT, DALL·E, and Codex. But instead of cashing in on her fame, Murati did something few in her position would: she started her own lab, Thinking Machines Lab , and did so in stealth mode, not to be secretive, but to stay focused. 'I'm figuring out what it's going to look like,' she told Wired in November 2024. 'I'm in the midst of it.' That kind of honesty is rare in tech, where founders often feel pressured to announce a grand vision even before writing a single line of code. Why doesn't she chase hype Focus on substance over spotlight Murati doesn't lead with noise. Her strategy is clear: build first, speak later. Instead of hyping unfinished products, she prioritizes clarity and quality. Investors say her startup's early attention isn't just about the technology, it's about the rare trust and discipline coming from the founding team. Team-driven mindset Her refusal to let any of her team members leave for Meta's billion-dollar offers shows her deep investment in people. As Wired reported, not a single person defected. That speaks volumes about the loyalty she fosters, not by promises, but by example. Awareness of AI's ethical complexity In January 2025, Murati gave a keynote at the World Economic Forum in Davos. She warned: 'AI without values is intelligence without conscience.' It wasn't a flashy announcement; it was a global call to reflect. She's also advising the European Commission on AI regulation, a rare position for a startup founder. She's not just creating the tools of the future; she's helping shape the laws around them. Strategic restraint Her startup is pioneering customizable AI systems tailored to local cultures, languages, and industries. But the company isn't shouting from the rooftops. Its 'stealth' approach isn't about hiding, it's about building with intention, without the distractions of hype cycles. As reported by Wired, her team is operating 'free from hype… with clarity and intention.' She's comfortable with uncertainty In the same Wired interview, Murati said: 'I'm in the midst of it.' That's not a rehearsed pitch, it's a real admission. And that's powerful. She reminds us that creation is a process, and it's okay not to have all the answers right away. What can we learn from that Quiet confidence is powerful You don't need to be loud to lead. Murati's example proves that real influence often comes from calm focus, not flash. Letting results speak By choosing progress over press, she builds trust, not just buzz. That's the kind of leadership that lasts. Leadership can be humble Murati redefines what it means to lead in tech. Her style isn't built on ego, it's built on ethics, teamwork, and responsibility. Avoiding hype protects integrity Hype can be tempting, but it can also be a trap. Murati's approach keeps her grounded, exactly what's needed in a field as high-stakes as AI.
India.com
4 days ago
- Business
- India.com
‘Tariff King'? The U.S. Got It Wrong – India's Trade Duties Tell A Different Story
New Delhi: U.S. President Donald Trump recently branded India as the 'tariff hing', accusing it of abusing trade duties to shield its markets. But actual trade data paints a vastly different picture. According to the World Bank, India's simple average tariff sits at 15.98%, but its trade‑weighted average, reflecting what most imported goods actually face, is only 4.6%. The lower rate reflects the reality that most high tariffs apply to low‑volume sectors such as agriculture or automobiles, while major imports like pharmaceuticals, energy, machinery and chemicals face much lighter duties (typically 5‑8%). India's imports from the United States in FY 2023‑24 totaled over $42.2 billion, with roughly 75% concentrated in just 100 product lines. Those goods generally attracted low or minimal tariffs. For instance, crude oil and LNG carry a duty of Rs 1.10/tonne and 2.75%, accounting for 18.25% of U.S. imports to India. Industrial machinery draws a 7.5% tariff; coal faces 5%; medical equipment carries 5‑7.5%; aircraft and parts are charged only 2.5%; and fertilizers go up to 10%. Thank you to schemes like Special Economic Zones, Export‑Oriented Units and Free Trade Agreements, a fair share of imports enters duty‑free. India has also been gradually reducing tariffs over three decades, from 80.9% in 1990 down to 15.98% in 2023, with the weighted average at just 4.6%. In January of this year alone, India slashed duties on several U.S. exports such as motorcycles, bourbon whiskey, ethernet switches, synthetic flavourings, fish hydrolysate and abolished a 6% equalisation levy on online services. It also removed retaliatory tariffs on apples, almonds and walnuts. Global comparisons reinforce India's position as moderate, not excessive. The Word Trade Organisation (WTO) data shows India imposes 0% on most semiconductors and IT hardware, compared with Vietnam's 50%, China's 25% and Indonesia's 30%. On agricultural tariffs, India averages 33% (with a max of 110‑150%) versus the European Union (EU)'s cap of 261%, Japan's 298% and South Korea's over 800% on certain items. Neighboring economies fare similarly: Bangladesh at 14.1%, Turkiye at 16.2%, Argentina at 13.4%. India's trade‑weighted rate remains lower than Vietnam's 5.1% and Indonesia's 5.7% and is nearly equal to the EU's 5%. India's non‑tariff barriers remain modest and predictable. Its Maximum Residue Limits (MRLs) for food products meet or exceed Codex norms in 24 out of 32 cases, compared to Japan and EU standards. Rules around biotech and veterinary certifications follow science‑based global norms. Contrast that with China's more opaque system of over 2,600 non‑tariff measures, many of which pose challenges for exporters. Meanwhile, the United States maintains steep tariffs on products like sour cream (average 197%, max 297%), tobacco (average 184%, up to 350%) and peanuts (average 115%, up to 164%). Even cheese tariffs hover near 24% and automobiles average 19%. India's approach, particularly in agriculture, reflects common international practices aimed at protecting farmers and ensuring food security. Judged by global norms, its tariff strategy aligns more with calculated trade policy than protectionism. The label of 'tariff king' obscures more than it reveals. India appears far from an outlier. It has phased in trade liberalisation consistently. It negotiates tariff relief for key partners. It removes barriers when possible. Its tariff profile compares favorably even with developed participants in global commerce. India is not a tariff miser. India is a measured trader.
Time of India
4 days ago
- Business
- Time of India
Forget coding: Autodesk CEO pitches 'total systems thinking' as your ultimate shield against the AI takeover
The Rise of the Creative Orchestrator Coding Isn't Dead, But It's No Longer Elite From Four Roles to Two The Soft Skills AI Still Can't Touch A Leadership Wake-Up Call You Might Also Like: AI can't steal this one human skill, and it could be your ticket to career success before it catches up In a world racing to keep up with artificial intelligence , simply knowing how to code might no longer be the edge it once was. According to Autodesk CEO Andrew Anagnost, the skill that may truly help future-proof your career is something deeper, broader, and far more human: total systems thinking In an interview with Business Insider, Anagnost emphasized that as AI models become increasingly capable of writing code independently, the most valuable human contributions will come not from technical repetition, but from interdisciplinary insight. 'If the coding models are going to be doing the code for you, what's more important is that you understand this whole notion of systems-level and interdisciplinary thinking,' he who holds a Ph.D. in aeronautical engineering and computer science, is a strong advocate of breaking out of traditional disciplinary silos. He believes future job roles won't necessarily go to those who go deep into one niche area, unless they're aiming for research careers. Instead, the next big value-add will come from individuals who can connect the dots across different fields — and creatively manage the output of AI systems.'Humans will need to take the role of creative orchestrators,' Anagnost said, adding that it's not just about what is made but how it all fits together. In other words, those who can understand the broader picture of how a product is designed, built, and delivered — and how AI fits into that lifecycle — will be in shift in thinking is already playing out in workplaces as tools like GitHub Copilot and OpenAI's Codex automate increasingly complex coding tasks. 'There will be more people generating code than ever before,' Anagnost said. 'And many of them won't have backgrounds in computer science.'Rather than making coding obsolete, this democratization means that coding becomes just another tool — and not necessarily a distinguishing to Anagnost, a typical software company today employs a team that includes a product manager, designer, engineer, and quality assurance tester. But that's changing fast. In a near-future setup, he envisions a leaner model where a product designer collaborates directly with an AI coding assistant to handle both development and ties this streamlined workflow together? 'Total systems thinking,' he said. It's about knowing how the entire machine works — from vision to execution — and not just being a cog in the message aligns closely with Wharton professor Ethan Mollick, author of Co-Intelligence: Living and Working with AI. In a recent interview with CNBC Make It, Mollick argued that the safest roles in an AI-driven world aren't necessarily the most technical — they're the most complex.'AI may outperform you in one or two things,' Mollick said, 'but if your job requires five or six of them, it's a lot harder to replace.'He advises professionals to gravitate toward 'bundled roles' — jobs that blend empathy, judgment, creativity, and domain expertise. These roles are harder to automate, and more importantly, make room for humans to collaborate with AI rather than be replaced by unintended consequence of this shift could be the loss of traditional entry-level roles. As AI handles more of the repeatable grunt work, young professionals may have fewer chances to learn by doing. Without that foundational experience, Mollick warns, the pipeline for future leaders could be at and Anagnost agree on one thing: the real problem isn't AI — it's leadership lag. Companies must rethink hiring, training, and education models to adapt to this new world. The future belongs to those who can think broadly, manage complexity, and orchestrate outcomes with the help of intelligent you're planning your next career move — or even your college major — consider this: it's no longer just about learning to code. It's about understanding how systems connect, how humans and machines can co-create, and how creativity still holds the power to Anagnost's words, the future may hold fewer traditional computer science grads in software firms, 'but there'll probably be more people creating product than ever before.'
Economic Times
5 days ago
- Business
- Economic Times
Forget coding: Autodesk CEO pitches 'total systems thinking' as your ultimate shield against the AI takeover
Synopsis As AI increasingly automates coding, Autodesk CEO Andrew Anagnost emphasizes that 'total systems thinking' is crucial for career success. He suggests future roles will require individuals to creatively manage AI output and connect diverse fields. Experts like Wharton's Ethan Mollick highlight the importance of 'bundled roles' blending empathy and judgment, while warning about potential loss of entry-level positions. iStock Autodesk CEO Andrew Anagnost suggests that total systems thinking, not just coding, will be crucial for career success as AI increasingly automates coding tasks. Future roles will require individuals to creatively manage AI output and connect different fields. (Images: iStock, LinkedIn) In a world racing to keep up with artificial intelligence, simply knowing how to code might no longer be the edge it once was. According to Autodesk CEO Andrew Anagnost, the skill that may truly help future-proof your career is something deeper, broader, and far more human: total systems thinking. In an interview with Business Insider, Anagnost emphasized that as AI models become increasingly capable of writing code independently, the most valuable human contributions will come not from technical repetition, but from interdisciplinary insight. 'If the coding models are going to be doing the code for you, what's more important is that you understand this whole notion of systems-level and interdisciplinary thinking,' he said. Anagnost, who holds a Ph.D. in aeronautical engineering and computer science, is a strong advocate of breaking out of traditional disciplinary silos. He believes future job roles won't necessarily go to those who go deep into one niche area, unless they're aiming for research careers. Instead, the next big value-add will come from individuals who can connect the dots across different fields — and creatively manage the output of AI systems. 'Humans will need to take the role of creative orchestrators,' Anagnost said, adding that it's not just about what is made but how it all fits together. In other words, those who can understand the broader picture of how a product is designed, built, and delivered — and how AI fits into that lifecycle — will be in demand. This shift in thinking is already playing out in workplaces as tools like GitHub Copilot and OpenAI's Codex automate increasingly complex coding tasks. 'There will be more people generating code than ever before,' Anagnost said. 'And many of them won't have backgrounds in computer science.' Rather than making coding obsolete, this democratization means that coding becomes just another tool — and not necessarily a distinguishing one. According to Anagnost, a typical software company today employs a team that includes a product manager, designer, engineer, and quality assurance tester. But that's changing fast. In a near-future setup, he envisions a leaner model where a product designer collaborates directly with an AI coding assistant to handle both development and testing. What ties this streamlined workflow together? 'Total systems thinking,' he said. It's about knowing how the entire machine works — from vision to execution — and not just being a cog in the system. Anagnost's message aligns closely with Wharton professor Ethan Mollick, author of Co-Intelligence: Living and Working with AI. In a recent interview with CNBC Make It, Mollick argued that the safest roles in an AI-driven world aren't necessarily the most technical — they're the most complex. 'AI may outperform you in one or two things,' Mollick said, 'but if your job requires five or six of them, it's a lot harder to replace.' He advises professionals to gravitate toward 'bundled roles' — jobs that blend empathy, judgment, creativity, and domain expertise. These roles are harder to automate, and more importantly, make room for humans to collaborate with AI rather than be replaced by it. One unintended consequence of this shift could be the loss of traditional entry-level roles. As AI handles more of the repeatable grunt work, young professionals may have fewer chances to learn by doing. Without that foundational experience, Mollick warns, the pipeline for future leaders could be at risk. Mollick and Anagnost agree on one thing: the real problem isn't AI — it's leadership lag. Companies must rethink hiring, training, and education models to adapt to this new world. The future belongs to those who can think broadly, manage complexity, and orchestrate outcomes with the help of intelligent machines. If you're planning your next career move — or even your college major — consider this: it's no longer just about learning to code. It's about understanding how systems connect, how humans and machines can co-create, and how creativity still holds the power to differentiate. In Anagnost's words, the future may hold fewer traditional computer science grads in software firms, 'but there'll probably be more people creating product than ever before.'
