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You may not have the resources to employ an army of white-hat hackers to stress test your security infrastructure; most organizations don’t. However, you want to make sure that the resources you do have are used in the most effective way.

It’s smart t

[Posted on Behalf of Subbu Iyer Founder and chief Designer Hreemm ]

The Process of Innovation
Globally the understanding of the Process of Innovation has been driven as a populist understanding of Ideas Management. That probably worked when the rate

[Posted on Behalf of Archie Jackson,  Senior Director and Head of IT & IS Incedo Inc]

There is a #global new normal during the #COVID19 #pandemic of working from home. Be it any industry, the mode of operation has limited to the boundaries of reside

[Posted on Behalf of  Anton Chuvakin Security Strategy - chronicle  Google ] 

Lets think about this together -- can you really jump to the “next curve” in security, or do you have to travel the entire journey from the old ways to the cutting edge?

Th

I was recently asked an interesting question: What are are the Top 5 CISO frustrations with the cybersecurity industry?

After a few minutes of deep thought and half a cup of coffee later (my 4th big cup of the day), this is what I came up with:

Top 5 C

Emotet, as stated by many threat research group claims to be a Banking Trojan; ever evolving since their entry into threat world. Although Emotet is said to be active since 2013, it was first detected in 2014. Ever since until now (August 2020) they

Counting down to the absolutely worst cybersecurity strategies. Sadly, these are all prevalent in the industry. Many organizations have failed spectacularly simply because they chose to follow a long-term path that leads to disaster. You know who you

I am excited to be recognized with such great cybersecurity though-leaders! 

Now more than ever, cybersecurity is becoming a critical pillar to the proliferation of digital technology.  Trust in the devices and systems is crucial that people, companie

There has been a good deal of publicized chatter about impending cyberattacks at an unprecedented scale and how Artificial Intelligence (AI) could help stop them.  Not surprisingly much of the discussion is led by AI vendors in the cybersecurity spac

[Posted on Behalf of Rajeev Shukla, Chief Strategy officer Castellum Labs ]

Introduction to IoT Phenomenon (Internet of Things)

Computing and its pervasiveness
In the last few decades more and mode devices have been connected to the internet and to ea

[Posted on Behalf of  Anton Chuvakin, Security Strategy - chronicle Google] 

So you recall my recent post about TI matching to security telemetry like logs in near real-time? I did say that most threat intelligence (TI, also called“threat data” in t

[Posted on Behalf of Pushkal Mishra, AVP IT & CISO  HDFC ERGO Health Insurance Ltd ]

There has been a wide adoption of A.I. (Artificial Intelligence) in the last few years. You might have seen them in chat rooms or on companies’ websites providing y

[Posted on Behalf of  Anton Chuvakin, Security Strategy - chronicle Google] 

One of the most common questions I received in my nalyst years of covering SIEM and other security monitoring technologies was “what data sources to integrate into my SIEM

[Posted on Behalf of Archie Jackson, Senior Director and Head of IT & IS   Incedo Inc]

AI is a huge ecosystem of tools, languages, frameworks with functions ranging from data ingestion, data pre-processing, modeling, model evaluation, integration, vi

[Posted on Behalf of Gary Hayslip,  CISO Softbank Investment advisor ]

In my 20+ years as an information technology and cybersecurity professional, I have had the privilege to work with and mentor some amazing people. I have learned as a CIO and as

[Posted on Behalf of Subbu Iyer, Founder and chief Designer Hreemm]

In 2015 and 2017, PETER WEILL AND STEPHANIE L. WOERNER surveyed several hundred enterprises, examining both the capabilities needed for transformation and the impacts on performance.

An Artificial Intelligence (AI) system is only as good as its training. For AI Machine Learning (ML) and Deep Learning (DL) frameworks, the training data sets are a crucial element that defines how the system will operate. Feed it skewed or biased in