Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Meet Jit's AI Agents: The Future of Product Security Work

Application security has become too complex — too many scanners, too much noise, and not enough time. Jit’s AI Agents change that. Built on Jit’s Agentic ASPM Platform, these intelligent agents don’t just detect issues — they think like your best AppSec engineer. They correlate findings across systems, validate real attack paths, generate human-in-the-loop fixes, and continuously monitor what actually matters to your business.

When AI Joins the Cybercrime Underworld: How Far Ahead Are Hackers Now?

In this week's episode, discover how AI-driven attacks are rewriting the rules of cybersecurity. Phishing is nearly impossible to spot, deepfakes target companies, and self-evolving malware is changing the game. Meet the new adversary: artificial intelligence. Watch the full discussion in this week's show.

EP 18 - The humanity of AI agents: Managing trust in the age of agentic AI

In this episode of Security Matters, host David Puner sits down with Yuval Moss, CyberArk’s VP of Solutions for Global Strategic Partners, to explore the fast-evolving world of agentic AI and its impact on enterprise security. From rogue AI agents deleting production databases to the ethical blind spots of autonomous systems, the conversation dives deep into how identity and Zero Trust principles must evolve to keep pace. Yuval shares insights from his 25-year cybersecurity journey, including why AI agents behave more like humans than machines—and why that’s both exciting and dangerous.

AI at Work: Speed, Risk, and Why Simplicity Wins

I’ve been spending a lot of time with teams and customers talking about AI. Not in terms of buzzwords or market predictions, but the real, in-the-trenches work of building software, serving customers, and securing identities and data. The mindset we’ve adopted around AI is simple: you can’t cut your way to great products or great customer experiences. AI isn’t about replacing people or chasing short-term efficiency gains.

The Evolving Role of AI Governance: Turning Risk into Responsibility

This piece is part of a monthly series by Carisa Brockman and Bindu Sundaresan exploring the evolving world of AI governance, trust, and responsibility. Each month, we look at how organizations can use artificial intelligence safely, thoughtfully, and with lasting impact.

Understanding the Impact of AI on User Consent and Data Collection

AI convenience rides on a river of data: text, clicks, images, voices, locations, and metadata you didn’t know existed. The core question is not whether AI uses data but how it collects it, what it infers, and whether people truly agree to that. In other words, the impact of AI on user consent and data collection is not academic. It decides whether your product earns trust or burns it.

How AI-Powered Voice Technology (Using Murf AI) Can Enhance Cybersecurity Awareness & Training

No matter how advanced your firewalls or encryption tools are, the weakest link in cybersecurity often remains the human element. Phishing emails, fake voice calls, and social engineering attacks exploit human error more effectively than they exploit code vulnerabilities. To counter this, organizations invest heavily in cybersecurity awareness and training programs.

Geo-Specific Messaging for Campaigns Using Headless CMS and Region Data

Relevant is the name of the game in today's marketing world, and there's no better relevance than location. What works for one set of consumers in one area may trigger cultural sensitivities, non-holidays, and non-seasonal themes in another. That's why a one-size-fits all campaign can go awry and turnoff consumers who expect the same level of personalization that caters to where they live and what they need. Yet, by leveraging geo-specific data based upon the needs of certain locations through a headless CMS, companies can still merge campaign messaging that is local yet globally feasible.

How a Leading Bank Unlocked AI - Without Breaking Data-Sovereignty Laws

In many countries — especially in India and across the Middle East — strict data-sovereignty laws prevent banks and enterprises from using cloud-based AI models like Gemini, GPT, or Anthropic. Sending personal or financial data outside national borders can violate compliance rules, blocking the adoption of AI. This video shows how Protecto helped a leading bank overcome these challenges. By deploying Protecto’s context-aware protection layer inside the bank’s private cloud, the bank could safely use advanced AI models while staying fully compliant.