Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Database Security
Authentication
Mobile
Privacy
Compliance
Careers and People
Identity & Access Management
Security Monitoring
Advanced Threats
Insider Threats
Vulnerability Management
Comments
Security Analysts Are Only Human
Newest First  |  Oldest First  |  Threaded View
Page 1 / 2   >   >>
RyanSepe
50%
50%
RyanSepe,
 User Rank: Ninja
2/28/2019 | 9:35:01 PM
Re: Minimizing Mistakes by Maximizing Actionable Intelligence
@Joe, that's one of the inherent principles of my explanation. The fact that there is a security shortage of personel further compiles the dilema that, quantitatively, large amounts of incidents cannot be reviewed effectively by humans. It's the premise behind "Next Gen" software/services, utilizing AI and malicious processes over signature-based analysis. 

Yes there are deficiencies. But I believe it to be a better allocation of funding to try and create more proficient and consistent coding then trying to throw bodies at it retroactively for review. I understand that if there is a shortage in one security facet then it may persist into others. But coders and app dev individuals that could be helpful in this endeavor are not part of that shortage.

Respectfully, I understand your inquiry. But I'm an Security Engineer. Crafting solutions is part of my day to day and this is again just one person's opinion at a plausible solution. Without attempting any solutions, we will all pontificate until this article is re-written in the years to come.
REISEN1955
50%
50%
REISEN1955,
 User Rank: Ninja
2/27/2019 | 2:10:43 PM
Re: Minimizing Mistakes by Maximizing Actionable Intelligence
Agree - some time off, after all when Watson was tasked with diagnostics for cancer patients, the results would have killed some people.  True,  Don't think that is part of the medical oath and desired results field.  The cancer is, of course, eradicted along with the host. 
Joe Stanganelli
50%
50%
Joe Stanganelli,
 User Rank: Ninja
2/26/2019 | 10:33:26 PM
Re: Minimizing Mistakes by Maximizing Actionable Intelligence
@REISEN: It should, of course, be theoretically possible to get to the point in AI/ML when a "robot" could use tactile senses just as well as other "senses" in performing surgical functions. That said, I suspect we're a ways off.
REISEN1955
50%
50%
REISEN1955,
 User Rank: Ninja
2/26/2019 | 8:40:02 AM
Re: Minimizing Mistakes by Maximizing Actionable Intelligence
Ages ago I was discussing robot surgery with a dentist and he pointed out that however magnificent the results may be --- a robotic arm or hand lacks the ability of the human hand to "feel" something and evalute it by intuitive work rather than access of a database.  True and same applies for cyber.  Some human thought (not Vulcan logic) applies here.  We "know" certain things that cannot be quantified as wrote answers.  
Joe Stanganelli
50%
50%
Joe Stanganelli,
 User Rank: Ninja
2/25/2019 | 8:07:13 PM
Re: Minimizing Mistakes by Maximizing Actionable Intelligence
@Ryan: Of course, the thing to remember moving forward is that, if we accept the current narrative (which I don't, but that's a post for another day), there is a drastic shortage of cybersecurity talent. Consequently, assuming the correctness of that premise, where's the talent to make sure that the automation is working properly in and is properly tailored for the customer organization?
Joe Stanganelli
50%
50%
Joe Stanganelli,
 User Rank: Ninja
2/25/2019 | 8:05:12 PM
Re: Automation is KEY
@Dr.T: Moreover, sometimes these analysts will see malicious traffic and give a heads up to an affected organization -- who, sometimes, will expressly tell the tier-1 to not call them again (because they'd rather not know, because of the compliance triggers).

Perverse, but it happens.
Joe Stanganelli
50%
50%
Joe Stanganelli,
 User Rank: Ninja
2/25/2019 | 8:01:44 PM
Automate the fatigue?
Indeed, I've recently interviewed consultants on this very topic who are espousing the same message -- and pundits in the press and thought leadership are also calling for AI/ML/automation solutions in place of humans for handling the day-to-day. The machines don't get fatigued at the same rate as the humans do.
Dr.T
50%
50%
Dr.T,
 User Rank: Ninja
2/25/2019 | 11:22:43 AM
Re: Minimizing Mistakes by Maximizing Actionable Intelligence
“As stated, receiving 10K alerts per day would be an impossible task to review without automated logic built into the coding of your SOC” I agree. Also stated most are false possitive. One option could be generating those alerts in more intelligent ways.
Dr.T
50%
50%
Dr.T,
 User Rank: Ninja
2/25/2019 | 11:20:09 AM
Re: Minimizing Mistakes by Maximizing Actionable Intelligence
“A human element will always be needed to one degree or another but they are prone to error. ” Agree. As being the weakest link in overall security, we are vulnerable too.
Dr.T
50%
50%
Dr.T,
 User Rank: Ninja
2/25/2019 | 11:19:00 AM
Re: Automation is KEY
“A SOC, coupled with the right internal and external intelligence, plus orchestration can effectively automate Tier 1” Agree. They can also use AI offload some initial workload.
Page 1 / 2   >   >>


COVID-19: Latest Security News & Commentary
Dark Reading Staff 9/25/2020
Hacking Yourself: Marie Moe and Pacemaker Security
Gary McGraw Ph.D., Co-founder Berryville Institute of Machine Learning,  9/21/2020
Startup Aims to Map and Track All the IT and Security Things
Kelly Jackson Higgins, Executive Editor at Dark Reading,  9/22/2020
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
Special Report: Computing's New Normal
This special report examines how IT security organizations have adapted to the "new normal" of computing and what the long-term effects will be. Read it and get a unique set of perspectives on issues ranging from new threats & vulnerabilities as a result of remote working to how enterprise security strategy will be affected long term.
Flash Poll
How IT Security Organizations are Attacking the Cybersecurity Problem
How IT Security Organizations are Attacking the Cybersecurity Problem
The COVID-19 pandemic turned the world -- and enterprise computing -- on end. Here's a look at how cybersecurity teams are retrenching their defense strategies, rebuilding their teams, and selecting new technologies to stop the oncoming rise of online attacks.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2020-15208
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can ...
CVE-2020-15209
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one....
CVE-2020-15210
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and ...
CVE-2020-15211
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices f...
CVE-2020-15212
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `outpu...