Matters.AI raises ₹55 crore, launches AI Security Engineer

AI & LLMs Are the Future. But Are They Secure? From hallucinations to prompt injection, data leakage to model abuse—AI and Large Language Models (LLMs) are transforming industries, but they also open new frontiers of cyber risk.   For sectors like Banking, Healthcare, Government, IT, and Manufacturing, ensuring trusted AI isn’t optional—it’s mission-critical.   That’s why eSec Forte® Technologies offers AI & LLM Security Assessments—purpose-built to uncover vulnerabilities before adversaries exploit them.   What You Get: - Real-world adversarial testing: Prompt injection, jailbreaks, and data extraction attempts - Policy & control validation: Testing guardrails, content filters, and access restrictions - Data protection checks: Ensuring sensitive data isn’t exposed through queries or outputs - Model abuse simulations: Misuse scenarios such as disinformation, fraud, or insider exploitation - Executive-ready reporting: Risk ratings, MITRE ATLAS mapping, and actionable remediation strategies   Why It Matters: AI doesn’t just process data—it makes decisions that impact business, compliance, and trust. Securing AI isn’t about stifling innovation—it’s about enabling it safely.   Ready to make your AI secure and resilient? Let’s connect - https://lnkd.in/gKgp5dF 🔗 Stay updated for more insights and innovations by following us on LinkedIn: eSec Forte® Technologies Sachin Kumar | Kunal Bajaj | Sachin Bahl | Saurabh Seth | Priyakant Taneja Mohit Mittal PMP® | Gopesh Mehrotra | Rajesh Kumar | Mayank Prakash Singh | Surbhit Bansal | Ashima Kataria | Aman Chandhok | Deep Shankar Yadav | Vaibhav Sakhare CFE, ACE, EnCE | Tanya Mangtani | Gaurav Kumar | Mohit Batra | Vishal B. | Aviral jain   #AIsecurity #LLMSecurity #CyberResilience #AITrust #PromptInjection #ModelSecurity #MITREATLAS #eSecForte #InfoSec #CISO #SecureAI

🛡️ 𝐀𝐈 𝐰𝐢𝐭𝐡 𝐈𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲: 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐓𝐫𝐮𝐬𝐭 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧, 𝐀𝐬𝐬𝐮𝐫𝐚𝐧𝐜𝐞 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 As India accelerates its AI adoption across sectors, the conversation must shift from capability to accountability. True transformation demands not just innovation-but trust, transparency, and resilience. To ensure AI serves society at scale, we must embed protection, assurance, and governance into its very architecture. 🔍 𝑭𝒐𝒖𝒓 𝒑𝒊𝒍𝒍𝒂𝒓𝒔 𝒇𝒐𝒓 𝒓𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒍𝒆 𝑨𝑰 𝒅𝒆𝒑𝒍𝒐𝒚𝒎𝒆𝒏𝒕: 1️⃣ 𝑪𝒐𝒏𝒔𝒖𝒎𝒆𝒓 𝑷𝒓𝒐𝒕𝒆𝒄𝒕𝒊𝒐𝒏 & 𝑻𝒓𝒂𝒏𝒔𝒑𝒂𝒓𝒆𝒏𝒄𝒚 Mandate fairness in AI outcomes, clear disclosures on AI use, and accessible grievance redressal, supported by public reporting and compliance toolkits for MSMEs. 2️⃣ 𝑹𝒆𝒔𝒊𝒍𝒊𝒆𝒏𝒄𝒆 & 𝑺𝒆𝒄𝒖𝒓𝒊𝒕𝒚 Implement continuous cybersecurity monitoring, dynamic threat response, red-teaming of AI systems, and robust business continuity drills. 3️⃣ 𝑮𝒐𝒗𝒆𝒓𝒏𝒂𝒏𝒄𝒆 & 𝑶𝒗𝒆𝒓𝒔𝒊𝒈𝒉𝒕 Require AI-specific risk checks in product approvals, maintain institution-level AI inventories, and conduct risk-based audits, especially third-party reviews for high-risk systems. 4️⃣ 𝑨𝒄𝒄𝒐𝒖𝒏𝒕𝒂𝒃𝒊𝒍𝒊𝒕𝒚 & 𝑹𝒊𝒔𝒌 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 Establish tolerant, good-faith incident reporting mechanisms and aggregate disclosures to generate sector-wide insights on emerging risks. 💡 At SIU, we believe that AI must be not only powerful, but principled. We’re preparing future leaders to design systems that are explainable, secure, and socially aligned. Let’s build an AI ecosystem where trust is not an afterthought, it’s the foundation. SIU School of Advanced Manufacturing | Sricity Education Foundation | Raju Indukuri | Praveen Akkiraju | JP(JayaPrasad) Vejendla #ResponsibleAI #AIIndia #Governance #SIU #ViksitBharat #Cybersecurity #EthicalAI #AICompliance #RiskIntelligence #DigitalTrust #2035Vision #WorkforceDevelopment #AILeadership #MSMEEnablement

🚀 Matters.AI Raises ₹55 Cr to Build Self-Learning ‘AI Security Engineer’ 🧠🔐 AI-native data security startup Matters.AI has secured ₹55 crore in funding to develop a groundbreaking new category in enterprise defense — the “AI Security Engineer”. 💰 Funding Breakdown: - ₹42 Cr Seed Round co-led by Kalaari Capital & Endiya Partners - ₹13 Cr Pre-Seed led by Better Capital & Carya Venture Partners - Participation from top cybersecurity angels 🛡️ What is an AI Security Engineer? A self-learning system that autonomously detects, predicts, and mitigates data risks across cloud, SaaS, and on-prem environments — without relying on traditional alert dashboards. 🧠 Key Features: - Learns like a human engineer - Uses semantic graphs & predictive models - Understands data behavior, intent & context - Moves from reactive alerts to autonomous prevention 🌍 Why it matters: With over 90% of enterprise data invisible to security teams, Matters.AI aims to unify visibility and protection — especially critical under India’s Digital Personal Data Protection (DPDP) Act. 📈 What’s next? The funds will accelerate R&D in predictive detection, expand go-to-market efforts in India & the US, and scale engineering & customer success teams for regulated sectors. 🗣️ “The world doesn’t need another dashboard screaming alerts; it needs a system that can think.” – Keshava Murthy, Co-founder & CEO #superintelligencenews #superintelligencenewsletter #AI #CyberSecurity #DataProtection #EnterpriseSecurity #StartupFunding #IndiaTech #CloudSecurity #SaaSSecurity #DPDPAct

𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈) 𝐟𝐨𝐫 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐌𝐚𝐫𝐤𝐞𝐭: 𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞: https://lnkd.in/gpxBpveC In today’s hyperconnected world, the #Artificial #Intelligence (AI) for #Security market is becoming the backbone of modern digital defense strategies. Organizations are increasingly relying on AI-powered solutions to strengthen threat detection, automate response mechanisms, and ensure proactive risk management against evolving cyber threats. With the rise of cloud adoption, IoT devices, and hybrid infrastructures, AI-driven security tools are no longer optional—they are essential. The market is witnessing robust growth, driven by innovations in machine learning algorithms, behavioral analytics, and predictive security intelligence. From enhancing endpoint security to safeguarding critical infrastructure, AI is enabling faster decision-making, reducing human error, and strengthening compliance frameworks. For stakeholders, this represents not just a technology shift but a critical investment in long-term resilience. 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬: Artificial Intelligence Institute of South Carolina Artificial Intelligence Risk, Inc. Artificial Intelligence and Data Science | University at Buffalo AI for PEACE NLB Services AI and Cyber Security Association Ai-RGUS - No Camera Left Behind® AI Security Council AI NXT Technovations Private Limited Aim Security AI.Reverie AI.Law Litigation Platform AI Insurance AI-InfraSolutions AI Expo Africa 2025 AI.Energy Technology Summit 2025 Ai Konsult AI Technologies The Security Bulldog Overland AI Robust Intelligence (now part of Cisco) Credo AI Kasisto AI CUJO AI® Cobalt AI HydroX AI DeepBrain AI Resemble AI Applied AI Consulting (AAIC) Sekyurity AI inmind.ai Shape Security Certified AI Security Professional (CAISP) Précis AI Ridge Security Technology Inc. #AIforSecurity #ArtificialIntelligence #Cybersecurity #MachineLearning #DigitalSecurity #AIInnovation #ThreatDetection #FutureOfSecurity #MarketResearch #IntelligentDefense

🚀 Matters.AI secures INR 42 crore seed funding to advance #AI-native data security AI-native data security platform Matters.AI (formerly #OptiQ.AI) has raised ₹42 crore ($4.7 million) in seed funding, co-led by Kalaari Capital and Endiya Partners. Founded in 2023 by Keshava Murthy and Harsh Sahu, Matters.AI enables businesses to locate, monitor, and secure sensitive data across clouds, apps, and internal systems — all powered by multimodal large language models (LLMs) and extended Berkeley Packet Filter (eBPF) technology. The company will use the new capital to expand its global presence, boost R&D, and strengthen integrations across frameworks. Part of the funds will fuel go-to-market efforts in North America, aiming to increase ARR fivefold and sustain 58% QoQ growth. 🔐 With AI at its core, Matters.AI is redefining how enterprises understand and protect their data. #MattersAI #DataSecurity #AI #Cybersecurity #StartupFunding #KalaariCapital #EndiyaPartners #DeepTech #EnterpriseAI #CloudSecurity #LLM #IndiaStartups #SeedFunding #Innovation #DataProtection #TechFunding #CEO #CTO #Founder

Matters.AI, an AI-native data security firm from Bharat, has raised INR 55 Crore to develop the AI Security Engineer, a self-learning system that predicts and autonomously responds to sensitive data misuse across various environments. The latest funding round was co-led by Kalaari Capital and Endiya Partners, following prior backing from Better Capital and Carya Venture Partners. The funding aims to enhance R&D in predictive detection and expand operations in India and the US. Matters.AI addresses modern security challenges where 90% of sensitive data eludes visibility, complicating threat detection and response. The system employs semantic graphs and predictive models to offer full-stack visibility, facilitating data tracing, lineage tracking, and hybrid deployments. With the DPDP Act establishing new accountability standards, Matters.AI delivers necessary clarity on sensitive data movement. CEO Keshava Murthy emphasizes the need for intelligent machines over traditional alert systems, while CTO Harsh Sahu notes the system's ability to emulate human reasoning. The product aims to unify visibility and enforcement, helping organizations prevent data exfiltration efficiently. As privacy regulations tighten and AI use grows, Matters.AI seeks to be the control layer for intelligent data protection. . . #OverNexus #startupnews #MattersAI #SeedFunding #AISecurity #BharatInnovation #TechInvestment

🌟 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: 𝐀 𝐇𝐢𝐬𝐭𝐨𝐫𝐢𝐜 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 — 𝐚𝐧𝐝 𝐚 𝐏𝐨𝐬𝐬𝐢𝐛𝐥𝐞 𝐋𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐟𝐨𝐫 𝐈𝐧𝐝𝐢𝐚 AI is evolving rapidly — from passive tools that follow instructions to autonomous systems that can plan, think, and act independentl. These Agentic AI systems are already transforming sectors — from governance and finance to manufacturing and national security. Imagine a customer Support service AI that doesn’t just reply with preprogrammed lines but understands your issue, verifies your order, contacts the delivery partner, and updates you automatically. 𝒀𝒐𝒖𝒓 𝑨𝒔𝒔𝒊𝒔𝒕𝒂𝒏𝒕 𝒇𝒐𝒓 𝑬𝒗𝒆𝒓𝒚 𝑹𝒐𝒍𝒆, 𝑷𝒐𝒘𝒆𝒓𝒆𝒅 𝒃𝒚 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆. But with great power comes great responsibility. As Saugat Sindhu, Global Head, Advisory Services, Cybersecurity & Risk Services at Wipro Limited, emphasizes: “Security, privacy, and ethical oversight must evolve as fast as the AI itself.” Agentic AI offers immense productivity gains — but also introduces new risks: ⚠️ Abuse of tools and prompt hijacking ⚠️ Memory poisoning via false or skewed data ⚠️ Resource overload attacks ⚠️ Cascading hallucinations spreading disinformation For India, where digital infrastructure and AI innovation drive economic growth, the real challenge is developing and deploying AI safely, securely, and ethically. The task ahead: Building reliable, ethical, and robust AI ecosystems that not only accelerate progress but safeguard it. Read more: “Agentic AI a massive opportunity as well as a potential liability for India” — The Hindu Bureau https://lnkd.in/d4chJ2uD #AgenticAI #AI #CyberSecurity #EthicalAI #DigitalIndia #Wipro #Innovation #FutureOfAI #Future

🚨 AI breakthroughs dominate headlines — but the failures never stay hidden for long. A malicious MCP server quietly redirected user data through trusted AI channels. Scale AI’s internal documents with client secrets went public. Poisoned datasets are corrupting model outputs before they even hit production. These incidents have one thing in common: infrastructure gaps. At ObscuraQ Technologies, we built AstraQ to close those gaps. As the Unified AI Infrastructure Agent, AstraQ delivers: ✅ AI Research & Data Analysis Assistant — data intelligence that prevents bottlenecks. ✅ Cybersecurity & Compliance Agent/Chatbot — guardrails that protect and document compliance. ✅ Synthetic Data & AI Training Assistant — purification that secures model training pipelines. Where others patch over problems, we unify infrastructure at its foundation. That’s why AstraQ isn’t just another AI tool — it’s the backbone of resilient, profitable AI companies. The risks are growing. The cracks are widening. The question isn’t whether AI companies need AstraQ — it’s whether they can afford to operate without it. #AI #AIInfrastructure #Cybersecurity #AIStartups #AIResearch

Did you know that Check Point acquired Lakera? a comprehensive AI security platform led by a team of seasoned professionals pulling in vast experience from cutting-edge AI projects at Google, Meta and the aerospace industry. What does Lakera do? 🤔 > Protects AI systems from attacks like: Prompt injection, Data leakage, Malicious or unsafe outputs > Monitors and filters prompt + outputs in real-time > Detects and blocks vulnerabilities in LLM applications > Provides security for the full AI lifecycle (from dev to deployment) > Offers red teaming & stress testing tools for AI models (e.g. Lakera Red) > Acts like a firewall for AI apps via Lakera Guard > Trains models to resist attacks using adversarial data > Collects data via interactive tools to improve AI security > Secures enterprise use of generative AI in industries like finance,healthcare, and legal As you already know, Check Point is committed to empowering enterprises to securely adopt AI technologies and unlock unprecedented business opportunities. #LLMSecurity #GenAISecurity #EnterpriseAI #SecureAI #DataProtection #AIFirewall #ResponsibleAI #ZeroTrustAI #AISecurity

Emerging Cyber Threats in the Age of Agentic AI and How We Can Stay Ahead? Artificial intelligence is no longer just a tool — it’s becoming an autonomous agent capable of acting, deciding, and influencing the physical and digital world. But with that power comes a new wave of risks. Here are ten critical cyber challenges organizations must prepare for as agentic AI becomes mainstream: •Data Distortion (Memory Corruption): Injecting wrong or manipulated data into an AI’s “memory,” altering how it makes decisions. •Tool Exploitation: Tricking AI into misusing APIs, financial systems, or workplace platforms to perform harmful actions. •Access Escalation: Manipulating permission settings to gain unauthorized access to restricted information or systems. •System Strain Attacks: Overloading compute or service capacity to crash operations or cause decision failures. •Hallucination Chain Reactions: False AI outputs being reused by other systems, spreading misinformation on a large scale. •Goal Redirection: Tampering with an AI’s objectives to manipulate its choices or outputs for biased outcomes. •Human Overload: Bombarding human reviewers with excessive AI outputs, making oversight nearly impossible. •Agent Miscommunication: Corrupting the data shared between AI systems to disrupt operations — especially in logistics or defense. •Rogue AI Behavior: Allowing autonomous agents to act beyond intended policies and monitoring layers. •Privacy Overreach: Unchecked access to sensitive personal or organizational data leading to potential breach exposure. As India accelerates toward AI-driven governance, finance, and citizen services, securing these systems is not optional — it’s existential. The next phase of AI progress will not only depend on how intelligent our systems become, but also on how responsibly and securely we choose to build and deploy them. #AI #CyberSecurity #AgenticAI #EthicalAI #DigitalTrust #FutureOfTech #IndiaTech