Tech Talks Daily30 Mar 2022

1928: EDR is Not Enough. Stop Responding. Start Preventing Zero-Day Attacks.

To many organizations, endpoint detection and response (EDR) is seen as the latest cybersecurity innovation and the tool to keep their network safe. However, with attacks now only needing 60 seconds after executing to cause significant damage to an organization's network, EDR solutions give an organisation a false sense of security.

With attackers now looking to cause as much damage as possible in the shortest time possible, security teams can no longer react to a cyberattack but must start preventing them altogether. So how can organizations start preventing cyberattacks and protecting themselves?

Deep Instinct is the first company to apply deep learning to cybersecurity. Deep learning is inspired by the brain's ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct's artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy.

Chuck Everette joins me on Tech Talks Daily to discuss why EDR solutions are not secure enough to stop cyberattacks which have a low dwell time. and why prevention-first solutions will be the next layer in an organisation's security stack. Finally, we discuss how deep learning, a subset of AI, will shift an organisation's mindset from detecting and responding to cyberattacks to actually predicting and preventing them.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(2000)

How Ensono is Building AI Resilience Beyond a Single Model

What happens when an AI experiment becomes a production service that your employees, customers, and daily operations depend upon? In this episode of Tech Talks Daily, I speak with Brian Klingbeil, Chi...

27 Jul 0s

How RedStone is Connecting Financial AI Agents to Verifiable Data

What happens when an autonomous AI agent makes a financial decision using inaccurate, outdated, or poorly synchronized data? In this episode of Tech Talks Daily, I speak with Marcin Kaźmierczak, cofou...

26 Jul 0s

How Craftable is Using AI to Protect Restaurant Margins and Human Hospitality

What if a restaurant could identify a margin problem while the ingredients were still being unloaded, rather than discovering it several weeks later? In this episode of Tech Talks Daily, I speak with ...

26 Jul 0s

How Valiance Fixes the Enterprise AI ROI Problem

Why do so many enterprise AI initiatives begin with impressive demonstrations but struggle to produce measurable business value? In this episode of Tech Talks Daily, I speak with Dom Selvon, CTO and v...

25 Jul 0s

How Genesys Cloud Helped StepChange Cut Misrouted Calls by 60 Percent

What does a modern contact center need to deliver when the person reaching out may already feel anxious, embarrassed, and unsure where to turn? In this episode of Tech Talks Daily, I speak with Chris ...

25 Jul 0s

Beyond AI Pilots: What Valiantys and Mercedes Can Teach Enterprise Leaders

What does it really take to build an AI-ready enterprise when your data is fragmented, teams operate in silos, and years of technology decisions have created complexity that no large language model ca...

24 Jul 0s

AI in HR: Dayforce on Why Governance Helps Companies Move Faster

What happens when AI moves beyond writing emails and summarizing meetings and starts influencing who gets hired, promoted, and paid? In this episode of Tech Talks Daily, I speak with David Lloyd, Chie...

23 Jul 0s

How IBM Is Turning Agentic AI Into Measurable Business Value

What separates an impressive agentic AI demonstration from a deployment that produces measurable business value across an entire company? In this episode, I speak with Frank Theisen, Vice President of...

22 Jul 0s