Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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What Is Zero Trust AI Access (ZTAI)?

Apr 30, 2026 By Mariyam Jameela In Protecto
Zero Trust AI Access (ZTAI) is a security framework that applies “never trust, always verify” principles to every interaction involving AI systems, including LLMs and AI agents, as well as the sensitive data they process. Traditional zero trust was built to protect people accessing applications. ZTAI extends those same principles to a new category of actor: AI itself.
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How to Prevent Prompt Injection

Apr 28, 2026 By Mariyam Jameela In Protecto
A prompt injection occurs when an attacker manipulates input to your AI system, overriding its instructions. To prevent prompt injection, you need a layered approach: separate system instructions from user input, validate user input before it reaches the model, monitor model outputs for anomalies, enforce least-privilege access for AI agents, and protect the data layer so sensitive information never reaches the model in a readable form. No single fix is enough.
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Privacy in Enterprise AI: Why It's the Foundation, Not a Feature

Apr 27, 2026 By Amar Kanagaraj In Protecto
Last week, OpenAI released Privacy Filter, an open-weight model for detecting and redacting PII in text. It is a thoughtful release: Apache 2.0 licensed, able to run locally, designed for high-throughput workflows, and built to go beyond regex-based detection. This is good news for everyone building enterprise AI. Privacy at the model layer is getting real attention. What we liked most was how clearly OpenAI described the role of the model.
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What Is Generative AI Security? Key Risks and How to Fix Them

Apr 24, 2026 By Mariyam Jameela In Protecto
Generative AI security is the practice of protecting the data that flows into AI systems, and the outputs those systems produce, from leaks, attacks, and unauthorized access. Every organization using AI today has the same blind spot. Sensitive data enters an AI pipeline, and most security teams have no visibility into where it goes next. An employee pastes a customer record into ChatGPT. A developer submits code containing API keys to an AI debugging tool.
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What Is AI Agent Security? Threats, Risks, and What Actually Stops Them (2026)

Apr 22, 2026 By Mariyam Jameela In Protecto
Over two-thirds of enterprises are already running agentic AI in production, according to a 2025 industry survey on the state of agentic AI security. Fewer than one in four have the visibility to know what those agents are actually doing. That gap is live right now, in systems handling customer data, financial records, and protected health information.
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Why AI Security Needs More Than One Tool #shorts #ai

Apr 20, 2026 By Protecto In Protecto
Why AI security needs more than one tool Most teams believe a single cybersecurity tool—like WAF, EDR, or API security—is enough to protect their AI systems. But that approach is outdated. AI security is not one layer—it’s a full stack problem. Discovery – Identify Shadow AI and unknown AI usage Build-Time Security – Prevent data poisoning & model risks (MLSecOps) Runtime Security – Stop real-time AI attacks and agent misuse Governance (AISPM) – Ensure visibility, compliance, and policy control.
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Types of AI Guardrails and When to Use Them (2026)

Apr 18, 2026 By Mariyam Jameela In Protecto
The types of AI guardrails are input guardrails, output guardrails, security guardrails, ethical guardrails, and operational guardrails, each positioned at a different failure point across an inference pipeline. Gartner’s research found that 30% of generative AI projects don’t survive past the proof-of-concept stage, with weak risk controls cited as the leading reason. Most of those projects weren’t badly built. The models worked. The gaps were in what sat around them.
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What Is AI Context Security?

Apr 17, 2026 By Amar Kanagaraj In Protecto
Every enterprise wants to use AI on its most valuable data — customer records, financial documents, clinical notes, legal files, engineering IP. The problem is simple: the moment that data enters an AI workflow, traditional security stops working. Firewalls protect the network. Encryption protects data at rest. Access controls protect the database. But none of them protect what happens when an AI agent retrieves five documents, synthesizes an answer, and delivers it to a user.
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How to Secure AI Agents Accessing Enterprise Data: A Complete Guide

Apr 16, 2026 By Sakshi In Protecto
Artificial intelligence is changing how a business handles its operations, and that too very rapidly. AI agents can easily read, analyze, and act on enterprise data in real time. This ease also brings serious risk. If not managed well, these systems can expose sensitive information, break compliance rules, or even make harmful decisions. Did you know that on average, the overall cost of a data breach reached $4.45 million in 2023?
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Why Your Security Tools Are Useless Against AI?#short #ai

Apr 15, 2026 By Protecto In Protecto
Most companies believe their security tools—WAF, EDR, API gateways—are enough to stop cyber attacks. But AI has changed the game. AI-powered attacks: –Learn your security patterns–Adapt in real-time–Bypass traditional defenses These tools were built for a predictable world. AI attackers are non-stop, intelligent, and evolving. That’s why even the best security systems are failing against modern AI threats.
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7 Generative AI Security Risks and How to Defend Your Organization

Apr 14, 2026 By Mariyam Jameela In Protecto
Generative AI creates new attack surfaces that traditional security tools were not designed to address. The biggest generative AI security risks include prompt injection, data leakage, shadow AI, compliance exposure, model poisoning, insecure RAG pipelines, and broken access control. Each one requires a specific defense, not a generic firewall or DLP rule.
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Real-Time AI Security: Securing Autonomous Agents in 2026

Apr 13, 2026 By Protecto In Protecto
Is your security stack ready for the agentic revolution? As we move into 2026, Real-Time AI Security has become the new frontier for enterprise protection. In this episode of AI on the Edge, Amar (CEO of Protecto) sits down with security veteran and investor Anand Tangiraja to discuss why traditional "shift left" strategies and legacy tools are failing in the face of autonomous agents.
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3 Reasons Your Security Can't Stop AI Attacks #shorts #ai

Apr 13, 2026 By Protecto In Protecto
Is your SOC ready for the 10-minute attack? In 2026, traditional Security Operations Centers are failing to stop Agentic AI Attacks. Why? Because agents don't follow the rules of legacy software. In this Short, we break down the three reasons your current defense is obsolete. The 3 Reasons Your SOC is Too Slow.
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What is the NIST AI Risk Management Framework?

Apr 7, 2026 By Mariyam Jameela In Protecto
The NIST AI Risk Management Framework is a guide that helps organizations spot and reduce risks in AI systems. This framework was released in January 2023 by the U.S. National Institute of Standards and Technology. The framework is built around four key steps, namely: Govern, Map, Measure, and Manage, and is meant to help teams responsibly use AI. It doesn’t matter which industry you work in or which AI you use; this framework works everywhere.
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NVIDIA Just Made AI Agents Production-Ready #ai #shorts

Apr 6, 2026 By Protecto In Protecto
AI agents just became production-ready overnight. With NVIDIA’s new NeMo Guardrails / NemoClaw-style agent control systems, AI agents can now operate in controlled environments with policies, sandboxing, and guardrails. Sounds safe… but there’s a catch. Agent safety protects what the AI does. But it doesn’t secure what the AI knows. And that’s where the real enterprise risk appears. In this video we break down the difference between.
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