In this episode of the Trust Issues podcast, Debashis Singh and host David Puner explore the intricate world of digital transformation and identity security. Debashis, the Global CIO at Persistent Systems, shares his frontline insights on the singular challenges and strategies organizations face on their digital transformation journeys.

On July 19, 2024, organizations around the world began to experience the “blue screen of death” in what would soon be considered one of the largest IT outages in history. Early rumors of a mass cyberattack were quickly squashed: it seemed a minor software update was to blame for countless shopping excursions cut short, airline flights grounded and critical surgeries postponed.

tl;dr: Large language models (LLMs) are highly susceptible to manipulation, and, as such, they must be treated as potential attackers in the system. LLMs have become extremely popular and serve many functions in our daily lives. Every reputable software company integrates artificial intelligence (AI) into its products, and stock market discussions frequently highlight the importance of GPUs. Even conversations with your mother might include concerns about AI risks.

Each July, my family and I take a road trip from Kentucky back to my hometown in northwestern Pennsylvania to spend time on Lake Erie. As tradition dictates, we stop along I-71 for coffee at a branch of a certain coffee shop, which also happens to be my former employer as a teen. (Let’s call it Siren Coffee.) This year, we sat waiting in the drive-thru for a drip coffee for a full 10 minutes.

In this episode of Trust Issues, we dig into the recent the global IT outage caused by a CrowdStrike software update, which impacted millions of Microsoft Windows endpoints and disrupted many sectors. This “black swan” event highlights, among other things, the importance of preparedness, adaptability and robust crisis management.

Cybersecurity key performance indicators (KPIs) measure the efficacy of an organization’s cybersecurity program. In a rapidly changing threat landscape characterized by new identities, environments and attack methods, many potential KPIs exist to track. Measuring too many things can be distracting or misleading, while not measuring enough can create gaps in understanding and protection.

Following our post “A Brief History of Game Cheating,” it’s safe to say that cheats, no matter how lucrative or premium they might look, always carry a degree of danger. Today’s story revolves around the developer of the popular EvolvedAim, a cheat for Escape From Tarkov. He sold his tool with an information stealer bundled with it, double-dipping and causing damage to his clients and to the game itself.

Over the short span of video game cheating, both cheaters and game developers have evolved in many ways; this includes everything from modification of important game variables (like health) by using tools like Cheat Engine. In addition, game botting impacts both game and real-life economies. However, using modern-day anti-cheat methods is also not without danger, as modern protection tools run on the kernel level and can be abused for malicious impact on the system.

Okay, so you’re a security leader at your enterprise – congratulations! It’s a big, challenging role, as you know too well. You or a colleague are likely responsible for securing the cloud and legacy apps that drive critical revenue and customer engagement for your organization. But it’s not just the apps you need to secure.