Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI can do what now?! Agentic AI is the autonomous future coming to security operations

Agentic AI in cybersecurity promises to transform workflows as we know them, enabling a new level of personalization, automation, efficiency, and innovation. It’s already being deployed by security teams for use cases like autonomous threat detection and response, advanced threat hunting, automated incident investigation, real-time fraud protection, and more. So, how is agentic AI working overtime to help security analysts build a more resilient security posture?

Securing AI agents: privileged machine identities at unprecedented scale

Earlier in 2025, an AI agent named Claudius made headlines when it insisted it was human, promising to deliver products in “a blue blazer and red tie.” Quirky? Sure. But beneath the strange admission sat a more important truth: today’s AI agents aren’t just chatbots with puppet-like ambitions, whose untruths would be betrayed by a growing nose. They’ve evolved into actors with real credentials, access, and autonomy.

How AI Will Transform Manufacturing-And What You Can Do Today

Welcome to another episode of AI On The Edge, where we explore how AI is transforming manufacturing—and how you can stay ahead of the curve. In this exclusive conversation, Amar Kanagaraj (Founder & CEO of Protecto) sits down with Vicky Sareen, a Principal Leader at Forbes Marshall, to uncover.

What Does It Really Mean to Be AI-Native? Insights from a Silicon Valley AI Leader

What does it really mean to be AI-native? In this episode of AI On The Edge, host Amar Kanagaraj (Founder & CEO, Protecto) chats with Manoj Mohan — a veteran AI leader who has built large-scale data & AI platforms for Intuit, Meta, and Apple. Manoj shares practical insights on: Whether you’re a CTO, engineer, or AI enthusiast, you’ll walk away with actionable lessons on how to build and scale AI responsibly.

Only 1% Get Enterprise AI Security Right - Are You One of Them?

Most companies think their AI is secure — but the truth is far more complex. In this episode of AI On The Edge, Amar Kanagaraj (Founder & CEO, Protecto) and Sabrykrishnan Loganathan (Strategy Advisor, Peloton Interactive) break down what really goes into building secure, trustworthy AI systems for enterprise. You’ll learn: This is your masterclass on enterprise AI security. Don’t be in the 99% — watch and join the top 1%.

Future Trends in AI and Data Privacy Regulations for 2025

AI is no longer a pilot project. In 2025 it sits inside support desks, developer tools, clinical workflows, loan underwriting, and public services. The regulatory landscape has shifted from paper policies to real-world evidence in production. Buyers, auditors, and regulators want to see controls in place where data flows and models are operational.

Closing the credential risk gap for AI agents using a browser

AI agents increasingly are completing real tasks in the browser, acting on behalf of employees, and connecting to the same systems humans rely on to get work done. This introduces a new security problem: AI agents require credentials – passwords, API keys, and one-time codes – to operate. As agents proliferate, the risk surface increases and it brings a variety of identity and access management challenges.

Rethinking Security Posture Assessments

Security posture assessments are a foundational part of any security program. They’re how organizations take stock of their defenses, evaluate coverage, and identify gaps. But in practice, many posture assessments have become stuck in a pattern. They follow the same checklist, occur on a set routine, and result in a static document that often doesn’t translate into real change. The problem isn’t that posture assessments are irrelevant.

Artificial Intelligence in Business: Value, Risk, and How to Put It to Work Safely

Leaders do not lack information; they lack the right signal at the right time, presented in a way they can trust. That is the promise of artificial intelligence in business, and also the source of its headaches. Used well, AI turns scattered activity into timely visibility. Used carelessly, it creates security questions, unpredictable outputs, and nervous legal teams. This guide lays out where AI reliably adds value inside a company, the security decisions that matter most, and a practical path to pilot, measure, and scale without drama.