Capabilities › Security Engineering
Security Engineering — controls built into the system, not layered on top of it.
A recommendation in a report is not a control until someone engineers it in. SIRI's security engineering capability turns findings from offensive testing, exposure data and threat intelligence into architecture, detection logic and guardrails actually built into your systems.
87%Of organisations run software with a known, exploitable vulnerability already deployed
278 daysMedian gap between a fix existing and it being applied
18%Of “critical” alerts remain critical once engineering context is applied
Why findings alone don't change outcomes
Live tracking · scroll to see why engineering is the missing step
Findings vs. fixes
87%
87% of organisations run software with a known, exploitable vulnerability already deployed — evidence that findings alone, without engineering follow-through, don't close gaps (Datadog 2026 State of DevSecOps).
Remediation lag
278 DAYS
Median dependency and remediation lag has grown to 278 days — the gap between identifying a fix and actually engineering it in keeps widening, not shrinking.
Noise problem
18%
Only 18% of default-critical alerts remain critical once real engineering and runtime context is applied — without engineering judgment, teams triage noise instead of risk.
Detection engineering
MITRE ATT&CK
Detection engineering mapped to MITRE ATT&CK has become the standard for building rules around how attackers actually operate, rather than static, generic logic.
Shift toward platforms
TECHNOLOGY
Security programmes are shifting from consulting hours sold by the day toward directly-operated technology platforms and engineered controls.
A report is a diagnosis. Engineering is the treatment.
Most security programmes generate findings faster than they engineer fixes.
Penetration tests, exposure assessments and threat intelligence all produce findings — but a finding sitting in a spreadsheet doesn't change what an attacker can do. Security engineering is the discipline of actually building the fix: architecture that removes a class of vulnerability rather than patching an instance of it, detection logic engineered around real attacker behaviour, and guardrails that hold under adversarial pressure rather than just in normal use.
The gap between finding and fixing is measurable: a median 278-day lag before a fix is actually applied, and 87% of organisations running software with a known, exploitable vulnerability regardless. That gap isn't primarily a knowledge problem — most teams know roughly what needs fixing. It's an engineering-capacity problem, and it's where a security programme built around reports rather than engineered controls tends to stall.
87% of organisations run software with a known, exploitable vulnerability already deployed
Despite widespread awareness of the risk — the gap is in engineering the fix, not identifying that one is needed. (Datadog 2026 State of DevSecOps report.)
SIRI's security engineering capability closes that gap directly: architecture and control design informed by SIRI Attack's findings and SIRI Exposure's data, detection logic engineered against SIRI's threat-intelligence on real attacker TTPs, and guardrails built to hold under the same adversarial conditions SIRI's offensive testing applies.
What organisations get wrong
Four assumptions that leave findings unfixed
Most engineering gaps aren't about awareness — they're about capacity and follow-through.
01 — OWNERSHIP
“The security team finds issues, engineering fixes them”
Handing a finding across a team boundary without engineering context or capacity is where most remediation actually stalls — 278 days is the median result.
02 — PATCHING
“We patch the specific instance we found”
Patching one instance of a vulnerability class without addressing the architecture that allowed it means the same class resurfaces in the next system built the same way.
03 — DETECTION
“We use the SIEM's default detection rules”
Out-of-box detection logic isn't tuned to your environment or current attacker TTPs — engineering the rules is what makes detection actually effective.
04 — GUARDRAILS
“We added input validation, so we're covered”
A guardrail that hasn't been tested against adversarial input is a hypothesis — engineering means building and testing it under the same pressure a real attacker would apply.
What SIRI's security engineering covers
Findings turned into architecture, detection logic and guardrails
Engineered from SIRI Attack, SIRI Exposure and threat-intelligence findings directly.
ARCHITECTURE
Security Architecture Review & Design
Reviewing and designing system architecture so security is structural, not patched on afterward.
- Architecture review
- Secure-by-design guidance
- Threat-modelling
DETECTION ENGINEERING
Detection Rule Engineering
Building detection logic mapped to real attacker TTPs, not static out-of-box rules.
- MITRE ATT&CK-mapped rules
- TTP-based detection logic
- Continuous rule tuning
GUARDRAILS
Guardrail & Control Engineering
Building constraints and controls that hold up under adversarial testing.
- Adversarially-tested guardrails
- Fail-safe design
- AI & agentic guardrails
REMEDIATION ENGINEERING
Remediation & Fix Engineering
Engineering the actual fix for a finding, not just recommending one.
- Structural remediation
- Vulnerability-class elimination
- Fix verification testing
IDENTITY & ACCESS
Access-Control Engineering
Engineering least-privilege and zero-trust access models directly into systems.
- Least-privilege design
- Zero-trust architecture
- Access-control automation
PLATFORM
Security Technology Engineering
Building and operating security technology directly, not just advising on it.
- Platform & tooling engineering
- Automation & policy-as-code
- Continuous validation pipelines
Evidence, not guesswork
No engineering capacity vs. consulting recommendations only vs. SIRI Security Engineering — what actually differs
A recommendation and an engineered, tested control are different deliverables.
| Approach | No dedicated engineering capacity | Consulting recommendations only | SIRI Security Engineering |
|---|---|---|---|
| Findings turned into built controls | No | Recommended, not built | Engineered directly |
| Detection rules tuned to real TTPs | No | Rare | Standard |
| Guardrails adversarially tested | No | Rare | Standard — via SIRI Attack |
| Structural, not instance-level, fixes | No | Depends on scope | Default approach |
| Connected to offensive & exposure findings | No | No | Direct input |
Sources: Datadog 2026 State of DevSecOps report; MITRE ATT&CK. Summarised for comparison.
Numbers every board should know
What the gap between finding and fixing actually looks like
87%
Run vulnerable software
Despite awareness of the risk, evidence that findings alone don't close gaps.
278 days
Median remediation lag
Between a fix existing and it actually being engineered in.
18%
Of alerts hold up
As genuinely critical once real engineering context is applied.
1
Team, not two
Engineering findings and building fixes run as one connected capability.
Compliance alignment
Standards & frameworks we align to
Our methodology is built around publicly recognised frameworks — not a proprietary checklist. Where a specific certification or attestation is completed and verified, it will be named here explicitly.
ISO/IEC 27001:2022
SOC 2 (AICPA TSC)
NIST CSF 2.0
MITRE ATT&CK
OWASP Top 10
OWASP Top 10 for LLM Applications
NIST AI RMF
ISO/IEC 42001
ISO 22301
CERT-In Directions 2022
Framework references reflect publicly available versions as of publication and describe the standards our methodology is aligned to; they are not a claim of certification, attestation, or audit completion unless stated explicitly elsewhere on this site.
Why SIRI for security engineering specifically
Findings that turn into built, tested controls — not a report that sits on its own
The findings-to-fix gap is where most security programmes actually lose ground.
01
Built as a technology company
SIRI operates technology and engineering capabilities directly, not just consulting hours sold by the day.
02
Structural, not instance-level
Fixes address the architecture that allowed a vulnerability class, not just the single instance that was found.
03
Adversarially tested
Guardrails and controls are tested under the same conditions SIRI's offensive testing applies, not just normal-use validation.
04
Connected across SIRI Security
Engineering work is directly informed by SIRI Attack findings, SIRI Exposure data and threat intelligence — not built in isolation.
Who this is built for
Organisations SIRI's security engineering is built for
Technology & SaaS
AI Companies
Financial Services
Organisations with a stalled remediation backlog
Enterprises building new systems from scratch
Teams without dedicated security-engineering capacity
How we work
From findings to engineered, tested controls
01
Assess & Prioritise
Reviewing findings from testing, exposure data and threat intelligence.
Week 102
Design
Architecture, detection logic or guardrail design for prioritised findings.
Weeks 2–303
Engineer & Build
Building the control directly, not just recommending it.
Weeks 4–604
Test & Validate
Adversarial testing of the engineered control before sign-off.
OngoingFrequently asked
Security engineering, answered directly
Is this consulting advice or actual implementation?
Actual implementation — SIRI's security engineering capability builds architecture, detection logic and guardrails directly, rather than handing over a recommendation for your team to implement alone.
Can you work alongside our existing engineering team?
Yes — this is designed to add engineering capacity and specialist expertise alongside your team, not replace it, particularly where findings have outpaced internal capacity to close them.
Do you only fix what SIRI finds, or can you address existing findings?
Both — findings from SIRI Attack, SIRI Exposure or your own existing security tooling can all be scoped into an engineering engagement.
How is detection-rule engineering different from standard SIEM tuning?
It's built around current threat-actor TTPs mapped to MITRE ATT&CK and informed by SIRI's threat intelligence, rather than generic out-of-box rule tuning.
Do you test the controls you build?
Yes — guardrails and controls are validated under adversarial conditions, typically via SIRI Attack, before being considered complete.
Turn findings into controls that actually hold
Engineer the fix, not just the recommendation.
Start with a prioritised finding backlog, or design security into a new system from the start.
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